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The tireless race of industries in search of technological development is a pertinent subject. Increasingly, we are seeing the replacement of manual work with work carried out by machines, and, as a result, some needs arise, such as specialized labor or the improvement of technologies to meet industrial demands. Although this subject contextualizes that the industry's current resources (manually or automatically operated machines, artificial intelligence, and machine learning, for example) overlap the previous work method (manual work), it is interesting to project this perspective into the future as well. In other words, given the presence of different operating modes used in the market, what can we expect from automation itself in years to come? Through this question, the subject of today's text is to estimate the 7 biggest automation challenges for the future. Therefore, from now on, we will enter into an immersion aimed at automation and its effects on the future. Read also: 7 Types of Malware You Need to Know and How to Eliminate Them for Good The technology behind today's industry Despite the rise of autonomous technology and its promising results, automation continues to be the most used technology across industries. Maybe because it is a more well-known technology and most companies are more conservative? Well, it's a great guess, given that artificial intelligence (AI) and Machine Learning (ML) are recent things. Because, if we project this technological occurrence onto a timeline, we can place industrial automation in the center of that line, so that on the left is manual work and, on the right, autonomous operation. Although automation has existed since the end of the 18th century, during the Industrial Revolution, this technology is not frozen in time. Quite the contrary, automation is inserted alongside artificial intelligence, for example, in studies and projects already in use. As an example, we can mention the use of various technologies, including automation, in Industry 4.0, which is an approach to manufacturing that integrates advanced technologies to create a more efficient, intelligent and flexible means of production. In this context, the Industry 4.0 approach does not require that all of the items below are included in a process. However, we list some technologies that are present in the new era of technology. Internet of Things : known by its abbreviation “IoT”, these are devices connected to the internet that collect and share data in real-time, for remote monitoring and control of processes and equipment; Big Data and Analytics : tools to process and analyze large volumes of data generated by IoT devices, to obtain important insights into decisions; Artificial Intelligence (AI) and Machine Learning (ML) : algorithms that enable process improvement, automation and prediction; Augmented Reality (AR) : technologies that mix the physical world with virtual elements; Horizontal and Vertical Integration : integration and combination of different hierarchical levels of production and management; Simulation : modeling and simulation of production processes to predict performance, before their actual implementation; Cybersecurity : digital security for data protection; Additive Manufacturing (3D printing) : produces complex components efficiently, flexibly, and with little waste; Cloud computing : allows high processing power and scalable storage; Automation : automatic system by which mechanisms check the functioning and parameters of the system, acting automatically to correct these parameters without human influence; Bonus tip : if you are curious to know about the potential of industry 4.0 in practice, then find out how a 4-axis CNC system works. It is a current manufacturing method that involves complex automation focused on machining. The 7 biggest automation challenges for the future Through an analysis of what has been added to the current automation concept, we can predict what the future challenges of this technology will be. Since several of the items mentioned above are still on the rise in the market and automation allows communication and the simultaneous use of several of these technologies, we can admit that, in the near future, the fluidity of automatic systems will be greater. Anyway, now look at the 7 biggest automation challenges for the future, which are listed below. 1. Jobs and labor market requirements The reduction in manual labor and the increase in labor specialized in technology is, perhaps, one of the most predictable future events when it comes to technology, whatever it may be. Thus, one of the challenges of automation in the future will be the demand for multifunctional (technical) labor, which requires diverse knowledge, such as operation, programming and maintenance of equipment and devices used in automation. On the other hand, the social challenge will be to requalify and prepare people for this new market concept. 2. Cybersecurity As a consequence of the increase in automatic processes, there is an increase in data storage. Therefore, cybersecurity is a challenge aimed at automation, given the need to develop and implement robust security systems to protect automated systems against cyber threats. 3. Technology development It is no surprise that automatic systems must, in the future, be updated and improved, given the development of autonomous systems. Of course, this is not a competition between technologies. Quite the opposite: with the development of more complete autonomous systems comes the need to develop technology so that they can be paired. In other words, automatic and autonomous systems must be present in the same system, in order to complement each other. 4. Development of robotics As automation and robotics go hand in hand with efficiency, safety, and production diversity, it is only fair to mention them in this text. Nowadays, we already see articulated robotic arms in assemblies, and welding, among other processes. Furthermore, we see that the mechanical flexibility of a system allows automation to be more complex and, therefore, complete. In this context, over the years and with the development of automation, robotics will also be pressured to develop in favor of manufacturing evolution in general. 5. Technological infrastructure Limited technological infrastructure, especially in underdeveloped countries, can be a limiting factor for the implementation of technologies such as automation. In this way, many companies will be thrown down in market competitiveness, which can affect the country's economy due to production inequality and the inability to meet demands. 6. IoT and Cloud Computing As these are concepts that emerged through the possibility of executing services through communication, in addition to communication between devices and machines (IoT) and cloud computing, we can estimate that this resource will be more required in the future. Considering that, since the present day, automation is the bridge that stores processes and manages them, the future challenge will be to implement this type of fluid and efficient communication for the most complex industrial processes. 7. Predictive maintenance Contrary to what many think, predictive maintenance is not operated in the same way as preventive or corrective maintenance. The ability to predict equipment failures before they occur can significantly improve operational efficiency. However, the means of predicting failures vary from equipment to equipment, and we have the possibility of using different tools (sensors and devices, for example), simultaneously, to reach a standard. Believe me, predictive maintenance is a big challenge even today and, therefore, this becomes a challenge for future automation. Through this text, it is possible to conclude that the future of industrial automation also depends on the development of several factors, which will complement this technology. For example, although robotics meets a large part of industrial needs through automation, it is notable that the technology can still be improved through intelligent data management. Finally, we conclude that the future of automation is as promising as it has been, given that, as the years go by and new tools emerge, industrial automation will become increasingly complete.

Malware is the designation used for any software, application, or code created with a malicious purpose. This type of software can infect computers, smartphones, tablets, servers, or any other device connected to the internet and can have different intentions, such as getting victims to provide personal data in order to steal their identity, steal bank details, or even launch computer attacks that require the payment of a ransom to regain control of devices. Read also: The Role of Artificial Intelligence in Digital Transformation What types of malware exist Botnet This is a large-scale attack that affects multiple connected devices or computers that are remotely controlled by the attacker. Once infected, the devices are under the control of the attacker without the owner being aware of it. The objectives of this type of malware are several: theft of platform access credentials or other personal data; spying on the victim; collection of keystrokes (for example, to discover passwords); or theft of photographs. Many of these attacks also have the particularity of taking advantage of the amount of equipment that they can control remotely to prevent the services of the attacked organizations from functioning correctly. In practice, these attacks allow, for example, thousands of computers to simultaneously access a given company's website so that it cannot support the traffic and is no longer available. Phishing or smashing It is also possible to infect the victim's devices via email or SMS. After penetrating devices, these software extract personal data, such as usernames or passwords, to sell them to third parties or use them in fraudulent transactions. Spyware This type of malware is covertly installed on the victim's device and allows the attacker to access sensitive information or change device parameters. Adware This type of malware displays advertising pop-ups on the infected device. Every time the victim clicks on one of these pop-ups, the attacker earns money. In addition to impacting the device's performance, making it, for example, slower, adware may be able to change browser settings, leaving infected devices more vulnerable to other types of attacks. Virus Viruses interfere with the normal functioning of infected devices and can corrupt or delete user data. Worms They arrive in email attachments, in messages, on pen drives, or file-sharing programs, and spread across devices. In addition to stealing sensitive information, this type of malware can change the device's security parameters and block access to its files. Ransomware This type of malware allows the attacker to destroy or block access to critical data. In most cases, the victim is pressured to pay a ransom in order for the attacker to give him back access to the data that belongs to him. If the victim is, for example, a company, the most common method is to steal access credentials from one of the employees. This is how the attacker can later access the data. It is important that you are not tempted to pay the ransom amount, as, on the one hand, payment does not guarantee that the situation will be resolved and, on the other hand, by giving in to blackmail you could be listed as a preferential target for future attacks. What to do to eliminate malware Whenever you suspect something is wrong with your devices, analyze the system using the “Windows Security” program report, accessible through "Settings – Privacy and Security" in Windows 10 and Windows 11. This operating system, from Microsoft, already includes antivirus software. Antiviruses protect devices in real-time and allow you to consult reports on their security status. You can also activate it to perform this analysis automatically and periodically. If necessary, format the device and reinstall the systems, but bear in mind that, even in these cases, there may be malware that cannot be eliminated. Remember that, if you format your device, be it a computer or a smartphone, you must make a backup copy of all the data you want to keep. Protect Your Business with Dygital9 At Dygital9, we specialize in cybersecurity and technological solutions to protect your business from all types of malware. Our team of experts is dedicated to ensuring your digital environment is secure and resilient against malicious attacks. We offer tailored solutions to meet your company's cybersecurity needs. Please feel free to contact us to learn more about our services and how we can help your business stay safe in the digital world.

Artificial Intelligence plays a key role in Digital Transformation. In fact, AI not only offers advanced automation solutions, but through machine learning, data analysis, and intelligent processing, it revolutionizes the way companies operate. Companies can thus optimize and innovate processes, improving their efficiency, also thanks to the personalization of services and the predictive capacity that AI can offer. In this article, we will explore what competitive advantages Artificial Intelligence offers within a constantly changing landscape. Read also: 9 Tips to Protect Yourself from Financial Scams Why AI matters for digital transformation Artificial Intelligence can have a key importance in the context of a company's digital transformation, in particular, because it allows the automation of some processes, reducing the human workload and allowing greater efficiency. AI allows you to analyze large quantities of data in a short time and in an advanced manner, so as to identify patterns, trends, and information to make informed decisions. Furthermore, Artificial Intelligence can help in personalizing the experiences of users and customers, adapting services to their specific needs. AI stimulates innovation and the development of new products and solutions, improves decision-making processes thanks to its machine learning and predictive capacity, reduces human errors, and provides a significant competitive advantage. How to power digital transformation with AI Making it clear that AI cannot be a substitute for human intervention, but only an aid, let's see how to enhance digital transformation thanks to Artificial Intelligence. AI can act as an accelerator of innovation and change, optimizing business processes and making daily operations more efficient through automation. Companies also always need to analyze data quickly. Artificial Intelligence can provide deep insights and precise predictions, allowing organizations to make informed, strategic decisions based on real data. Digital transformation can be enhanced with in-depth analysis of your customers and users, in order to offer them increasingly personalized experiences. AI can be a valid support in moments of brainstorming and creative block. It can, in fact, offer suggestions based on analysis, helping the development of services and products that are increasingly in line with market needs. What is the future of AI in digital transformation? The use of AI will continue to grow more and more, becoming a key element in multiple sectors and business processes. The evolution of machine learning and deep learning techniques will improve AI's ability to understand, interpret, and analyze complex data in real-time, enabling more precise predictions and more personalized solutions. Artificial Intelligence will be able to collaborate with different technologies, significantly improving automation, security, and data analysis. Likewise, the more it evolves, the more ethics in the use of AI will be a crucial issue that will have to be addressed by ensuring its responsible management, particularly in the field of data protection. What is certain is that Artificial Intelligence will become a fundamental element in digital transformation, enabling greater efficiency, personalization, and innovation, with companies adopting targeted strategies to fully exploit its potential to maintain a competitive advantage. What are the main fields of application of artificial intelligence processes? AI processes find application in various fields, becoming an engine for innovation that radically transforms working processes and methods. Its diversified use has significantly revolutionized business management, health, finance, commerce, production, and many other sectors, which use it in decision-making processes or data analysis. The fields of application that we will see below demonstrate the vast expansion that Artificial Intelligence can have, capable of guiding the future in the name of transformative innovation. Healthcare: Artificial Intelligence is used to aid in diagnostics, personalization of treatments, and management of healthcare data. Finance: AI is useful for market analysis, risk management, automated trading, and processing loan requests. Retail: It is very useful for logistics, but also for analyzing customer data, predicting their questions and doubts, and personalizing purchasing experiences. Manufacturing: In these industries, AI is applied to optimize processes, predict the quantity and type of demand based on data and history, plan production and improve supply chain efficiency. Automotive: In the automotive sector, AI is used for the development of autonomous vehicles, and for managing the data sent by the vehicles. Human resources: Thanks to data analysis, Artificial Intelligence supports personnel selection, performance management, and the creation of strategies to involve employees more. Marketing: In the digital sector, AI can be a valid aid for brainstorming, analyzing data and competitors, but also for suggesting ideas. Advantages of integrating digitalization and AI The integration between Digitalization and Artificial Intelligence is, and will be, a driving force for many companies that will be able to benefit from it. First of all, this coordination, by optimizing data search, allows for faster investigation within digital archives. This improves the accessibility and retrieval of specific information. Another benefit of integration is to reduce human errors. Automation in data analysis minimizes inaccuracies, increasing the reliability of business operations and mitigating the risks deriving from decisions based on incomplete or imprecise data. AI, combined with Digitalization, allows organizations to explore new business opportunities, enhancing their ability to adapt to new challenges, and improving their precision and efficiency within the contemporary market.

Everyone is susceptible to being a victim of financial scams. Unfortunately, the sophistication of these scams has increased over the years, making it increasingly difficult to identify them – and therefore security concerns have become increasingly relevant. In an increasingly digitalized and interconnected world, scammers have also developed different types of fraud for the online environment: from false investments and loans, pyramid schemes to phishing, a tactic in which scammers pretend to be companies to obtain personal data or receive cash transfers, there is no shortage of alternatives. Therefore, it is essential to always be well informed about possible threats to protect yourself. After all, suffering a blow impacts not only your finances but also your personal life. In addition to the risk of losing a substantial amount of money, the difficulty in recovering values, reestablishing yourself, and equipping yourself with defenses to avoid falling into traps again generates great emotional stress. Read also: Security and Privacy in The Era of Big Data and Data Integration To help you protect yourself from financial scams, we have put together ten practical tips on the most common types of fraud that occur and how to avoid them. Check out the following list to put the practices into action today: 1. Stay Informed Firstly, be up to date on the different types of financial scams that are currently occurring. This can be done by reading financial news on trusted websites, for example. The Central Bank offers information and guidance on financial security on its official website. Another tip is to monitor updates sent through the official communication channels of the financial institutions you use, and when you receive an email, a call, or a message on behalf of the bank, always pay close attention to the sender's details. In general, your bank is unlikely to contact you through an unofficial means to request your information, and payments, among others. 2. Be wary of offers you can’t refuse If something seems too good to be true, it probably is. Be wary of killer promotions, investments, or business opportunities that promise exorbitant returns with little or no risk. Research carefully and contact the company's official channels before making a purchase, confirming any information, or making any important decision. 3. Protect your personal information Store your personal information in safe places and avoid sharing it with third parties. Never give passwords, bank account numbers, or credit card details to unknown people, and make sure that the websites you use to carry out financial transactions are secure. 4. Check the legitimacy of companies Before carrying out financial transactions with any company, store, or establishment, check its legitimacy. Research information about the business, such as physical address, telephone number, and commercial records and make sure it is properly registered and regulated by the competent authorities. 5. Use strong passwords and update them regularly Protect your social media accounts, banks, and other online platforms with strong and unique passwords. Avoid using obvious, easy-to-guess sequences, such as birth dates or simple sequences. It's also important to update your passwords regularly and not share them with others. 6. Keep an eye out for suspicious emails and messages Be cautious when opening suspicious emails or messages. Scammers often use fake messages to try to obtain data or trick people into clicking on malicious links. Be alert to spelling errors, urgent requests, and requests for confidential information, and be suspicious if you receive unknown charges. 7. Check your statements and accounts regularly Regularly monitor your bank accounts, credit cards, and investments to identify any suspicious activity. If you detect unauthorized transactions or unusual activity, immediately contact your financial institution to take protective measures. 8. Be careful with high-risk investments Although the return potential may be tempting, avoid investments that promise guaranteed or well-above-average returns. Please be aware of the risks involved in high-risk investments and consult a qualified financial expert before making any investment decisions. 9. Protecting yourself from scams on WhatsApp Scammers also often use WhatsApp to scam people and obtain financial data. To protect yourself from scams on WhatsApp, it is important to be aware of certain warning signs. Scammers can pretend to be friends or family and ask to borrow money through messages, so always check if the request is real, confirm through another channel, or even make a call. Do not share personal or financial information through WhatsApp, even if the request appears legitimate. Remember that reputable financial institutions and companies never ask for confidential information through messages. Conclusion Finally, if you suspect or are the victim of a financial scam, report it immediately to the appropriate authorities. Contact the police or the police station specializing in cyber crimes in your region to report the incident, and be sure to inform your financial institution of the incident so that they can assist you in how to proceed and, above all, prevent other people from also being victims of this crime. Financial security is a responsibility shared between consumers and financial institutions, but simple tips like the ones mentioned in this article already significantly reduce the risk of falling for financial scams and protect your money. Be alert, question any suspicious activity or message, and guarantee the confidentiality of your data! And, to stay informed about everything that happens in the cybersecurity space, follow the Dygital9 blog and check out first-hand news and specialized articles.

Big Data is the term we use to designate data that, due to its large volume, high complexity, and high frequency, cannot be processed using traditional methods. To carry out this task, specialized software and computing algorithms are used, capable of filtering and extracting useful insights even when faced with a huge amount of information. The advancement of Big Data in recent years is no surprise. After all, thanks to it it is possible to make assertive decisions and solve problems that, until then, seemed insoluble. And the pace should continue at an accelerated pace: according to an estimate by Fortune Business Insights, Big Data should present an annual growth rate of almost 15% until 2028 and generate, in 2028 alone, US$549.7 billion. A number of factors have driven this growth, such as the development and democratization of technology, the accessibility of cloud computing, artificial intelligence, machine learning, and the Internet of Things, as well as concerns about security and privacy – reflecting the new way in which we handle and perceive data. Along with this, we also noticed a huge demand for data integration. And why is data integration so important? Because, combined with Big Data, it allows a holistic view of the business, operational efficiency, quick response to changes, improvement in the quality of information, cost reduction, and, finally, preparation for the much talked about digital transformation. Read also: Facial Recognition: Transformation in Fraud Prevention Strategies One Caveat: Security Data integration, although extremely valuable, requires care, especially about information security. It becomes even more important since data from different sources ends up being centralized in a common infrastructure – in order to process, filter, and analyze it. Security, well thought out and well implemented, must take three pillars into account: Confidentiality: This pillar refers to the protection of sensitive information against unauthorized access. Ensuring confidentiality means ensuring that only authorized people have access to critical data. Measures such as encryption, access control, and clear policies contribute to keeping confidentiality intact. Integrity: Integrity is about ensuring that information is not altered, corrupted, or compromised in an unauthorized manner. Maintaining data integrity is essential to preserving its accuracy and reliability. Techniques such as digital signatures, version control, and checksums are essential. Availability: The pillar of availability involves ensuring that information and systems are accessible when needed, without undue interruptions. This includes preventing and mitigating attacks that seek to make services unavailable, as well as implementing backup and disaster recovery practices to maintain continuity of operations. As can be seen, even though data integration enables a holistic view and extraction of indicators for decision-making, there must be a segregation of roles and functions so that only authorized and competent managers access or share the information that is entrusted to them. To guarantee confidentiality, it is also necessary to implement secure authentication mechanisms, such as the adoption of Multiple Factor Authentication (MFA) and the use of strong passwords, and ensure that the base allows encryption of data at rest and that, in transit, they use secure protocols, such as TLS 1.2. Finally, it is necessary to invest in infrastructure so that it can support the large volume of data expected, including failure recovery and redundancy mechanisms. I'm not just referring to hardware, as the use of the cloud is, today, an almost inevitable aspect. It needs to be well protected, with up-to-date security protocols, and must adhere to international information security, data privacy, and business continuity standards, such as ISO 27001, ISO 27701, and ISO 22301, respectively. In summary Big Data, more than a trend, is a reality. When associated with data integration, it enables faster and more accurate business decisions and favors cost reduction and operational improvement. Good implementation, however, requires respect for the three pillars of security and privacy – confidentiality, integrity, and availability – in order to guarantee the protection of data from suppliers, customers, partners, and the organization itself.

Artificial intelligence and machine learning, present in facial biometrics solutions, are technologies that have changed the game in terms of fraud prevention. With increasingly intelligent algorithms, facial recognition has become a powerful protection tool for companies that need to be sure who is on the other side of a commercial transaction. It's no secret that we are living in an increasingly connected society, in which businesses in digital environments grow exponentially and gain new followers all the time. Along with this expansion came the benefits of a more agile and practical life, but also countless concerns and precautions regarding the security of the information we share at all times. Facial recognition technology gained traction in the market, at the same time that fraud protection and prevention strategies began to target the uncertainty that, on the other side of the screen, was the same person they said they were. Today, the best facial recognition algorithms improve automatically every moment, based on a lot of analytical intelligence and machine learning. In this article, you will be able to learn a little more about the concept of facial recognition and the most efficient solutions on the market for biometric validation. You will also be able to understand how this technology should occupy an even greater space in the market with the increase in companies' demand for protection against today's biggest business risks - such as biometric forgery through the dissemination of methods such as deepfakes and realistic masks in 3D, for example. Good reading! What is facial recognition and how does it work? Facial recognition is a technology that uses the neural network algorithm (computational intelligence) to make a mathematical mapping of a person's facial characteristics - such as the distance between the eyes, the shape of the face, and the dimensions of the nose and mouth. By recording this information, it can identify and authenticate the individual so that they can access restricted areas or log into websites and applications with high-security requirements. The image is captured through a selfie (taken by smartphone or computer) and the access attempt is validated in real-time, in comparison with a database of images that are reliable and already validated – they may be the basis of the image itself. company or belong to a qualified data bureau such as Serasa Experian. The comparison result is given with high accuracy and speed, generally without any point of friction with the user experience. Facial recognition works through a biometrics solution, which matches the information that is entered in real-time into the system and the image that is present in the file of trusted faces. A score is given for the similarity between the two images, generating a 'similarity score' that will support the algorithm's decision. This is how Facial Biometrics software guarantees that a person is the same person they claim to be – and, in this way, we can know who is who! Where is facial recognition used? What are the applications? The use of facial recognition is mainly associated with issues related to security: identification of people in public spaces (including those missing or those wanted by the courts), monitoring high-crime regions, controlling access to spaces with restricted circulation, validating of financial or commercial transactions, unlocking smartphones and computers, entry into large events (such as concerts or football games), user authentication on secure platforms and private security systems (such as employee access to the company network or entry/exit of residents in a condominium), among countless other applications. Looking at the more unusual ones, we highlight two types of use of facial recognition: the analysis of consumer behavior in shopping centers and large retailers for more targeted personalization of offers and the monitoring of emotions (EDR) and facial expressions to analyze momentary feelings – from a purchasing behavior trend to a dissatisfaction scenario that indicates the necessary action from a mediator. Facial recognition versus deep fakes Biometrics solutions that perform facial recognition can prevent the spread of deepfakes through technological intelligence. The more fraudsters study ways to deceive facial recognition, the more deep learning algorithms are updated to block any attempts of fraudulent origin. The most common example at the moment is the manipulation of images and voices of famous people in videos, in which they appear to talk about topics (almost always controversial) that they have never talked about. In this case, a scan carried out by a facial biometrics solution can detect disconnected movements or deformities of the face resulting from image manipulation, revealing the existence of false digitally assembled content. Still on the battlefield between fake videos and biometric recognition, when someone submits material claiming to be that person, solutions with more reliable algorithms are capable of reliably validating whether, behind that face, an authentic person or software is trying to emulate the existence of a third party. Not all solutions available on the market may indeed be ready to identify deepfakes in 100% of situations; Therefore, companies' prevention strategy must be capable of connecting several anti-fraud layers so that business protection is fully effective. As we are talking about technology and the transformative power it has at every moment, preventing fraud with deepfakes must be seen as a process in continuous evolution. It's almost a race against time: fraudsters are constantly working to circumvent software that performs facial recognition and identifies fraud, while prevention solution providers must continue to improve their concepts and algorithms to prevent scams from evolving. Is facial recognition a secure technology? Yes, facial recognition is one of the most advanced and robust technologies for preventing fraud using images or biometric information, as it is a solution developed based on data science and a lot of analytical intelligence. In addition to recognizing faces with high accuracy, the technology is capable of performing life tests and easily identifying the incidence of a fraud attempt through the use of static images, scenes manipulated via software, or the use of realistic masks. The constant evolution of algorithms and situations such as the end of the mandatory use of masks post-pandemic helps to minimize a point of attention that has always been linked to facial recognition: the inaccuracy of identification in adverse conditions. When the face is partially hidden by shadows, sunglasses or masks, the solutions find it more difficult to draw the comparison and tend not to validate the similarity of the person with the data present in the base. Another critical case is the recognition of adverse lighting conditions, both about the low incidence of light in the location and its excess. There is also a point that covers security and raises doubts about the use of facial recognition technologies: legal regulation and ethical issues involving the collection and use of a person's images. With the LGPD (General Personal Data Protection Law), there is a requirement for transparency, and the holder must be notified that their data will be collected, but, in situations such as fraud prevention, there is no need for consent from each user – it is only necessary to ensure that the purpose of the use is being fulfilled and that the data is stored in complete security.

The growing adoption of cloud computing has brought many benefits to companies of all sizes. However, with the increase in the transfer of sensitive data to the cloud environment, security has become a key concern. It is essential to implement efficient security measures to protect sensitive information against cyber threats. In this article, we'll explore best practices for protecting data in the cloud, including data encryption, two-factor authentication, and restricted access policies. Read also: IoT (Internet of Things) in The Education Sector 1. Importance of Cloud Security The challenges of cloud security: Cloud security presents unique challenges due to the distributed and shared nature of the infrastructure. One of the main challenges is unauthorized access to data stored in the cloud. With so many connected devices and users with different privilege levels, it is crucial to ensure that only authorized people can access sensitive data. Additionally, protecting against cyberattacks such as DDoS attacks, phishing, and malware is also a constant challenge. Companies must be prepared to quickly detect and respond to these threats to avoid exposing confidential information. Consequences of a data breach: A cloud data breach can have serious consequences for an organization. In addition to the financial impact, such as fines and loss of customers, there is also damage to the company's reputation. Customer and partner trust can be shaken if they realize their data is not secure. Additionally, the company may face litigation and legal liability arising from the violation. It's essential to remember that data breaches can result in the loss of intellectual property, trade secrets, and confidential information, which can be devastating for the company. A proactive approach to ensuring security: A proactive approach is critical to ensuring security in the cloud. This involves implementing security best practices such as data encryption at rest and in transit, multi-factor authentication, constant monitoring, and regular security updates. Additionally, it is important to perform security audits and penetration tests to identify potential vulnerabilities and fix them before they are exploited. Employee education and awareness about security practices also play a crucial role in preventing breaches. By taking a proactive approach, companies can mitigate risks and ensure the security of their data in the cloud. 2. Data Encryption What is data encryption: Data encryption plays a crucial role in protecting sensitive information in the cloud. Through this technique, data is transformed into cipher text using advanced mathematical algorithms, making it unreadable. Only authorized individuals with the correct key can decrypt and access the data. In this way, data encryption becomes an indispensable security measure, guaranteeing the confidentiality and integrity of information, even when interception or improper access to it occurs. By adopting data encryption, companies can rest assured that their sensitive information is protected against cyber threats and security breaches. Types of encryption used in the cloud: There are two main types of encryption used in the cloud: symmetric encryption and asymmetric encryption. Symmetric encryption uses the same key to encrypt and decrypt data. It is faster and more efficient but requires the key to be shared securely between the parties involved. Asymmetric encryption uses a pair of different keys, one public and one private. The public key is used to encrypt the data, while the private key is used to encrypt it. This type of encryption is more secure but can be slower due to the complexity of the algorithms involved. Best practices for implementing data encryption: When implementing data encryption in the cloud, it is important to follow some best practices. Firstly, it is necessary to identify which data needs to be encrypted and at which points in the process. This way, it is possible to define an appropriate strategy. Furthermore, it is essential to use robust and up-to-date encryption algorithms, such as AES (Advanced Encryption Standard). Adequacy: It is also recommended to adequately protect encryption keys, storing them in secure locations with restricted access. Another important practice is key management, including regular key rotation to maintain ongoing security. Finally, it is essential to perform security tests and audits to ensure the effectiveness of encryption and identify possible vulnerabilities. By implementing these best practices, companies can strengthen their cloud data security and protect their sensitive information from cyber threats. 3. Two-Factor Authentication What is two-factor authentication: Two-factor authentication (2FA) is a security method that requires two distinct forms of verification to grant access to a system or account. In addition to the traditional password, the user also needs to provide a second form of authentication, usually something they have, such as a code sent via SMS, a physical security token, or even a fingerprint. This approach adds an extra layer of security, significantly reducing the risk of unauthorized access to sensitive information. Benefits of two-factor authentication: Implementing two-factor authentication brings several benefits to the security of information in the cloud. Firstly, it significantly increases the protection of accounts and systems, since even if someone gains access to the password, they will not be able to go through the second form of authentication. This makes accounts much more difficult for hackers to compromise. Additionally, two-factor authentication helps prevent phishing attacks because even if users provide their passwords on a fake website, the attacker will not have the second form of authentication. This method can also provide a sense of peace of mind for users knowing their accounts are more robustly protected. How to implement two-factor authentication in the cloud: Implementing two-factor authentication in the cloud is a simple task that requires following a few essential steps. First of all, you need to choose a reliable two-factor authentication provider that is compatible with the systems and services in use. Next, you need to configure the authentication options in the system, defining which methods will be offered to users. Options: It is recommended to provide a variety of options for two-factor authentication, such as SMS, authentication apps, or physical tokens, to provide greater flexibility to users. Afterward, you need to guide users on how to enable two-factor authentication on their accounts by providing the necessary instructions. Additionally, it is important to educate users about the importance of two-factor authentication and its positive impact on information security. By adopting these measures, it is possible to implement two-factor authentication efficiently, strengthening the security of cloud accounts and systems. 4. Restricted Access Policies Importance of restricted access policies: Restricted access policies are fundamental to ensuring data security in the cloud. By implementing restricted access policies, companies can control which users are allowed to access certain resources and sensitive information. This helps reduce the risk of unauthorized access and data leakage while protecting the integrity and privacy of corporate information. Additionally, by limiting access to only authorized users, restricted access policies can also ensure compliance with security and privacy regulations, avoiding fines and penalties. Implementing role-based access control (RBAC): An effective way to implement restricted access policies is through role-based access control (RBAC). This approach involves assigning specific roles and permissions to each user based on their responsibilities and authorization level. By adopting RBAC, companies can ensure that only relevant users have access to the resources they need to perform their tasks while restricting access to sensitive areas. This simplifies access administration, reduces the risk of improper access, and makes it easier to audit and monitor data access. Access monitoring and auditing: In addition to implementing restricted access policies, it is essential to have an adequate monitoring and auditing system to ensure its effectiveness. Continuous monitoring allows you to identify any suspicious activity or unauthorized access attempts. It is important to record and analyze access logs, event logs, and other relevant information to identify potential security threats or breaches. Regularly auditing access logs is also crucial to ensure compliance with restricted access policies and security regulations. By carrying out audits, companies can identify potential flaws in the access control system and take corrective measures to further strengthen security. Cloud deployment: By implementing restricted access policies, companies can ensure data security in the cloud. Additionally, you must use role-based access control to allow only authorized users to access sensitive information. Establishing effective monitoring and auditing is another crucial measure to protect corporate data. These practices help minimize the risks of unauthorized access, data leaks, and security breaches, ensuring the confidentiality and integrity of information in the cloud. 5. Continuous Monitoring and Threat Detection Cloud security monitoring tools: Continuous monitoring is an essential practice for protecting cloud environments against cyber threats. To this end, there are several tools available that help detect possible attacks and vulnerabilities. These tools provide features such as log analysis, network traffic monitoring, identifying suspicious behavior, and real-time alerts. By utilizing cloud security monitoring tools, companies can gain comprehensive visibility into their infrastructure, identify potential threats, and respond quickly. Threat detection and incident response: Threat detection and incident response are essential components of continuous monitoring. By implementing cloud security solutions, companies can leverage advanced detection capabilities such as artificial intelligence and machine learning to identify malicious activity and anomalies. These technologies help distinguish between legitimate and suspicious behavior, enabling early detection of potential threats. Furthermore, it is essential to have a well-defined incident response plan, with clear procedures and trained staff to act quickly in the event of a security incident. Best practices for effective continuous monitoring: To also ensure effective monitoring, first establish a comprehensive strategy that covers all aspects of the infrastructure. This includes servers, applications, and network traffic. Additionally, you must keep your security tools up to date and configure them correctly to ensure accurate detection of potential threats. Set custom performance metrics and alerts to notify your security team of suspicious activity. These measures will help strengthen your company's security posture and enable quick and effective action to protect systems and data against potential attacks. This way, it is possible to strengthen the company's security posture and act proactively to protect systems and data against potential attacks. Finally, periodic analysis and review of monitoring records are crucial to identify relevant patterns and trends. Pay attention to Cloud Security: By implementing security monitoring tools in the cloud, it is possible to strengthen the security posture of companies. Furthermore, establishing threat detection and incident response is critical to ensuring an effective response to cyberattacks. By following continuous monitoring best practices, companies can identify threats in a timely manner and protect their cloud environments. It is worth noting that continuous monitoring and threat detection plays a crucial role in preserving the integrity and confidentiality of corporate data in the cloud. 6. Data Backup and Recovery Cloud backup strategies: Implementing effective cloud backup strategies is critical to ensuring the protection and availability of corporate data. There are different approaches to cloud backup such as full, incremental, and differential backup. Full backup involves copying all data to a remote location, while incremental and differential backups only copy changes made since the last backup. It is important to consider factors such as data volume, frequency of changes, and recovery time requirements when choosing the most appropriate backup strategy for your cloud environment. Importance of data recovery in case of an incident: Data recovery plays a crucial role in business continuity and mitigating damage in case of incidents. By performing regular backups and storing them in secure locations in the cloud, companies can ensure quick and reliable recovery of their data in the event of loss or corruption. Additionally, data recovery is essential to minimize downtime, prevent the loss of critical information, and maintain customer trust. By adopting a solid data backup and recovery strategy, companies can face adversities with greater peace of mind, ensuring the continuity of operations and the preservation of their digital assets. Testing and improving your cloud backup and recovery plan: To ensure the effectiveness of your backup and recovery plan, it is essential to perform periodic testing and continuous improvements. Testing allows you to identify potential failures in the process and verify whether recovery time and recovery point objectives are being met. Additionally, it is crucial to document backup procedures and policies, conduct recovery simulations, and involve all relevant parties such as IT staff and end users. This way, everyone will be familiar with the process and will be able to contribute to its efficiency. Based on the test results, you can make necessary adjustments and implement improvements to ensure reliable and efficient data recovery. By implementing cloud backup strategies, recognizing the importance of data recovery, and regularly testing the backup and recovery plan, companies can be prepared to face data loss incidents and ensure the continuity of their operations. Data backup and recovery are crucial elements of an information security strategy, providing protection and peace of mind for organizations in an increasingly complex and threatening cloud environment. Cloud Security Conclusion Data protection in the cloud is extremely important to ensure the security and privacy of a company's sensitive information. By implementing the security best practices discussed in this article, such as data encryption, two-factor authentication, and restricted access policies, organizations can mitigate data breach risks and maintain the integrity of their information in the cloud. Dygital9 and cloud security Dygital9 is specializing in IT services related to web servers, cloud servers, and cloud monitoring services, it is committed to helping companies protect their data in the cloud. Follow us for more information and tips on cloud security and take the opportunity to share this article with your colleagues in the field.

Basing the teaching-learning process on innovation and technology has become a fundamental condition for any educational institution that wishes to take on avant-garde positions. Regarding the use of technologies in the classroom and in educational management, more and more devices and resources are being created and improved to bring education closer to students' hyperconnected reality. And the flagship, without a doubt, is the so-called Internet of Things (IoT, acronym for Internet of Things), which we will cover in this post. Thanks to the rise of mobile technology and IoT, the institution is able to be completely connected, from administrative functions, such as reception, security and academic management, to its core business, that is, the act of educating itself. Therefore, in this article we have created a guide explaining what this IoT technology means and the impact of the Internet of Things on education and offering insights into the benefits of its use. Follow the next lines and enjoy reading! What is the Internet of Things? Before talking directly about education, it is worth conceptualizing the meaning of the Internet of Things in a simple and direct way. According to Forbes magazine, we can understand IoT technology as “the connection of any device with an on-off button to the Internet” ― an excellent communication tool that makes users' lives easier. And any equipment can be part of this list: cell phones, washing machines, headphones, lamps, portable devices, traffic and shopping apps, etc. But this also applies to automobiles, jet engines, and even drilling on an oil rig. The power of IoT technology is so great and profitable that the North American consultancy Gartner predicted, five years ago, that there will be more than 26 billion connected devices in the world by 2020. And she was right: a giant network of connections receiving and transmitting information all the time grows every day. But this connection is not limited to “things”. It is interesting to note that IoT also impacts relationships, which will be person to person, person to things, and things to things. IoT technology in educational institutions IoT technology is part of the so-called Information and Communication Technologies (ICT), which are increasingly present in education. UNESCO (United Nations Educational, Scientific and Cultural Organization) highlights, among other benefits, that ICTs contribute to “the quality of teaching and learning, the professional development of teachers, as well as [can] improve management, governance, and educational administration by providing the right and organized mix of policies, technologies and capabilities”. This is, therefore, a key characteristic of the vision of education for the future. One of the main reasons, as researchers from the Australian Curtin University state, is that “IoT enables advanced services through the interconnection of information and communication technologies”. By using the Internet of Things, the school can become fully connected and provide information about the student's full-time experience and stay. This creates a gigantic database that enables better decision-making, both from the point of view of a more efficient teaching-learning process and administratively. In everyday relationships with students and infrastructure issues, for example, the Internet of Things can help teachers and staff reduce the effort and time spent on repetitive activities. Among them, we can highlight: checking student attendance, both in the classroom and on school grounds; location of faculty and staff; facility security; tracking objects and equipment, such as books, laptops, and materials for internal use; input control; cleaning and organizing property. Pedagogical Process and IoT With regard to the pedagogical process, the Internet of Things is associated with neuroscience devices to enable more effective learning, whether at the individual or collective level. Through this facet of IoT technology, it is possible to monitor the level of performance and engagement of students in each subject and specific subject. Thus, it is possible to provide personalized learning mechanisms, according to the personal characteristics of each student, giving a different profile to the classes in each class. From this, we see an unprecedented immersion in the school that makes the environment interactive, in accordance with the needs of learning in the digital age. To this end, it is important that the school knows how to identify what objectives it wants to establish with the use of the Internet of Things and then develop a network architecture for the set of applications. What are the main characteristics of IoT? From a pedagogical point of view, IoT technology meets the generation of “digital natives”, a term coined by writer and education specialist Mark Prensky. This term defines people who were born at a time when digital technologies and the internet were already taking over the world. These people can easily move between different technologies, are fluent users of the World Wide Web, and easily adapt to new technological developments. In this sense, teaching these young people implies that education reinvents itself and leaves the theoretical field to enter a field of achievements with the use of technology and its tools. Therefore, the presence of technology in the classroom is a sine qua non condition for teachers to have an infinite number of possibilities for transformative education that is contextualized with today's society. From an infrastructure and management point of view, IoT technology can make objects more efficient and allow them to receive complementary attributes, such as applications that associate the functions for which they are designed with related activities. Conclusion In conclusion, the integration of IoT technology into educational institutions represents a significant advancement in the realm of teaching and learning. By leveraging the power of connectivity, educational institutions can streamline administrative tasks, enhance security measures, and personalize the learning experience for students. The Internet of Things not only facilitates efficient management but also fosters a dynamic and interactive learning environment that resonates with the digital natives of today. As we continue to embrace innovation in education, it is imperative for institutions to harness the potential of IoT technology to propel forward into a future of enhanced educational experiences. For further inquiries or assistance with technology integration, feel free to reach out to us at Dygital 9.

Do you know how much a cryptocurrency is currently worth? Even if you are reading this content at a time of extreme appreciation or devaluation of this financial exchange model, the disruption that digital currencies have caused throughout the market cannot be forgotten. After all, with their popularity driven by appreciation rates of up to 200%, cryptocurrencies are also coveted because they are not transported through the streets in armored cars, much less are they susceptible to cyber attacks. In other words, its rise is primarily due to blockchain security technology, which also made an impact and brought benefits to sectors beyond finance, such as Healthcare. What makes blockchain a powerful tool for managing healthcare businesses is its ability to offer traceability, sharing, and, fundamentally, cryptographic data security. To further highlight its positive purposes, the stakeholders must think about the impact of concepts such as patient safety and the General Data Protection Law (LGPD). Blockchain gained the attention of businesses in 2008, first within the stock market. To understand what blockchain is and how it works, it is necessary to dissociate it from cryptocurrency – although many people believe they are the same thing. Read also: Understanding Cognitive Computing: Exploring Benefits and Applications Cryptocurrency Also known as cyber currency or digital currency, it is a means of financial exchange, which can be centralized or decentralized. Cryptocurrencies were the first practical application of blockchain security. A big plot involves the history of digital currencies, the concept of which was presented in 2008 by Satoshi Nakamoto (pseudonym of a person or group of cryptocurrency creators) in the article Bitcoin: A Peer-to-Peer Electronic Money System, therefore, bitcoin was the first of the cryptocurrencies. The entire structure of a cryptocurrency was designed as a way to carry out a financial transaction in the online universe without the mandatory intervention of a central bank (a centralizing monetary authority). To this end, Nakamoto proposed a model of monetary exchange carried out from person to person (peer-to-peer), in which the security of the transaction would be guaranteed by strict cryptographic control, the blockchain. Well, in addition to the first article presenting Bitcoin and blockchain, Nakamoto registered the domain bitcoin.org, which was passed on to other developers – all without revealing his real identity. Although the mystery of who Nakamoto is has not yet been solved, bitcoin has heated up the world of finance and exposed the benefits of blockchain technology, which had emerged years before the cryptocurrency revolution. The first work involving blockchain appeared in 1991, in a publication signed by scientists Stuart Haber and W. Scott Stornetta. The article described a hierarchy of data and digital information called “Block Chain”, in which no one could tamper with the time and date records of the documents contained in each block. In fact, this description is very close to the current concept of blockchain security: a chain of blocks containing data and information, with each block having a cryptographic hash. It is a mathematical function that generates a block validation algorithm, in which it is impossible to discover the input value with just the output value. Each block is added to the chain after its cryptographic validation. Therefore, blockchain is a distributed data validation record, in which only authorized people within the system have access to blocks of information. Benefits of Blockchain in the Healthcare Industry In Healthcare, the most widespread application of blockchain is the protection of patient data. Furthermore, it is possible to track the stock of inputs, and medication prescriptions and ensure that patients' personal data is safe from any breach or public exposure – thus establishing a level of digital security in compliance with the LGPD. In medicine, information such as confidential clinical trials or patient records are protected and accessible only to professionals and the holder of each personal data. To access the information, you need a cryptographic key responsible for decryption. Without this, data blocks cannot be accessed and, in the event of an invasion attempt, the entire system stops itself, making the attack unfeasible. In addition to the features related to digital security, the unchanged history of the blocks allows the organization to carry out a detailed survey of the most varied information. This can benefit, for example, the diagnosis process via Electronic Patient Records. Therefore, any change can lead to errors and compromise patient safety. Therefore, the blockchain has another important characteristic: for any change in the information in a block, another is created by the system with the new changes. The previous one is kept in the system and all blocks contain the date and time of all modifications. Data Is the Basis of Everything Due to the high reliability of the security and data validation system, blockchain is present within several businesses that have already adapted to the accelerated changes of digital transformation. This shows that it is not enough to simply adopt innovation in the integrated systems of a Healthcare organization. After all, if there is no systemic data capture, with well-structured processes and a digital culture disseminated among all teams, the benefits of blockchain may be limited. The importance of blockchain refers to the increased use of information systems, which generate enormous amounts of data to support the decision-making of any healthcare organization. This happens both from a care point of view, with gains for quality of life of patients, as well as from a management point of view, allowing the maintenance of the financial health of the business.

Until recently, before the advent of cognitive computing, computers were not very good at interacting with humans. It was necessary for us to make an effort to learn their languages in order to explore the potential of technology. Even basic tasks, like using an algorithm to identify whether an image was of a banana or an orange, were too complicated to be taught to a machine. The idea was that computers managed data, moved it, and captured it, however, they were incapable of actually processing it, at least in the same sense as the human brain. This idea, however, is in the past. Cognitive computing is the assignment of interpersonal-like capabilities to the way machines handle information. The term was coined by IBM, which created Watson, a cognitive computing system that paved the way for innovations such as Siri and Alexa. In the era of digital transformation, advances that allow computers to learn, develop reasoning, and make decisions are all framed under the term “cognitive computing”. Read also: Everything You Need to Know About the Dark Web What is cognitive computing for? Programming languages were developed due to the need to program, that is, to guide a machine to perform an action. Cognitive computing, on the other hand, was driven by the fact that natural interactions, which take into account speech, touch, and vision, for example, would be a more intuitive way of interacting with the machines that serve us. surround. The advancement serves a lot of things besides making our devices more accessible. Cognitive computing gives systems the ability to reason very closely to that of a human being. This is essential for them to be able to perform complex tasks, such as medical diagnosis. This is one of the great ambitions of Watson, developed by IBM. The system was designed to assist humans in some tasks, such as analyzing large volumes of data and generating feasible alternatives within a set of possibilities. Therefore, it is already being tested in large hospitals and in the banking system, generating responses and learning every day to better meet human needs. What are the benefits of cognitive computing? We have three major benefits of cognitive computing. The first is to give all your employees the ability to deal with elaborate systems and get the answers they need from them. There is no longer a demand for high technical knowledge to interact with computing. Have you ever used a virtual assistant, like Siri? Although still limited, these technologies provide answers and do not require much from us. Just formulate a question appropriately and all the work is done by Artificial Intelligence. Another important point of cognitive computing is that it is proactive. The type of analysis it performs allows us to quickly identify bottlenecks and problems and, at the same time, helps us determine how to act. This reduces the cost of maintaining the technologies used in a business and makes them more responsive. Finally, cognitive solutions tend to improve our performance. They automatically analyze structured and unstructured data and provide answers that would take us years to reach, even if we read all the books in the world. What cognitive technologies should we pay attention to? In this market, the leadership still belongs to IBM and the aforementioned Watson. However, other cognitive technologies are already catching our attention. Alexa, the Artificial Intelligence contained in Amazon Echo, puts it in our homes, and Siri, in our pockets. When machines gain the ability to interact with humans and communicate with them in natural language, we have cognitive computing. It is what opens up space for technologies, such as the one that drives the Internet of Things, to have an impact on the daily lives of people and companies, improving the way they interact. Cognitive computing is incredible, isn't it? Discover other news like this and stay tuned for what technology has to offer by following our blog!

The number of malicious online activities is rising dramatically, particularly on the so-called Dark Web. The phrase alludes to virtual hidden worlds that are inaccessible to a large number of individuals. Everything "can" be sold on the Dark Web, including things that are forbidden and unlawful. Domains in this setting are composed of random strings of digits and letters. These sites are only accessible to those who have their complete credentials in hand. You must therefore have strong encryption and data protection technologies if you want to use this hidden portion of the internet, as you run the risk of becoming the victim of several virtual attacks and having your personal information stolen. Learn how data leaks on the Dark Web operate and how to prevent them by reading on! Read also: Top 8 Must-Know Cybersecurity Trends Shaping 2024 How is the internet divided? Understanding the internet's split is crucial to comprehending the Dark Web's operation and associated threats. The Surface Web is a place where you may access social networks, conduct daily research, and browse websites of online stores, among other things. It usually doesn't pose a significant risk. Additionally, there is the Deep Web, which is home to hidden websites that are not visible through search results. You need to have a login and password in order to see these websites. Due to the existence of numerous illegal companies, the Dark Web is the most sinister section of the Deep Web. What is the Dark Web? A collection of undiscovered websites on the internet that are only accessible with a specific browser is known as the "Dark Web." Because it may be used for a number of anonymous actions, bad people use it a lot. This is a common way for people to get around government and other forms of repression. This is a result of its widespread usage in illegal activities like the trafficking of humans and drugs. How do data leaks occur? If you use the Dark Web carelessly, multiple hackers could be after your info. This is because they make use of mechanisms that make it simple for you to use your computer. In this manner, they can obtain your address, credit or debit card number, CPF number, and other personal data. Most people don't worry about protecting themselves from hackers on the internet and use the same passwords for all programs. Your personal information is considerably more exposed and can be shared with other users of the system when you browse the Dark Web. What are the dangers? There are various risks associated with the Dark Web, and it is crucial to be aware of them in order to avoid falling victim to them and hurting oneself. The Dark Web is rife with malware that can infect innocent people. This is because there are no website providers in this area to increase access security and defend against cyberattacks. This could expose you and your data. You must therefore be aware that you are endangering your privacy if you visit a website hosted on the Dark Web. Furthermore, since the police have already found and stopped a lot of unlawful activity in this area, you can become a target for the government. Users who engaged in this market as well as those who accessed it out of curiosity had their identities uncovered through the use of specialized software to examine unlawful actions on the Dark Web. Thus, even if your goal is not to do anything wrong, you may be monitored. Fraud is one of the main threats on the Dark Web. For example, some users might use their naivety to pull off some scams. In addition, hackers may steal your banking information and identity, and they may use blackmail to threaten you. How to stay protected? You can guard your privacy when using the Dark Web and stop identity theft by taking certain precautions. You'll likely be traced even if you use Tor to visit "onion networks." A Virtual Private Network (VPN) is necessary to guarantee safer and more secure access. Your data will be encrypted before you can access the website if it is correctly activated, protecting your personal data. The Tor Browser is the means of accessing the Dark Web. You must exercise caution to avoid stumbling into traps. This browser has a number of "fake" settings that could be harmful to you. Consequently, all you have to do is buy it from the official website. Always keep your browser updated to make it harder for cybercriminals to target you. Being safe from cybercriminals' attacks is crucial when accessing the Dark Web. Closing all of the applications you were using before accessing Tor is an effective approach to accomplish this, particularly if any of them are financial in nature. You will lessen the likelihood of theft by doing this. It's important to take note of any background services that your tool may be using; these need to be stopped. Covering your webcam is necessary if you use a computer or mobile device to visit the Dark Web to avoid having your activities visually monitored. You must shut the browser window after viewing the Dark Web in order to use other programs. By taking these precautions, your information is protected and kept out of the risk of misuse, but caution and attention must be paid because any mistake could have negative consequences. How can a digital certificate help protect your personal or company data? A person or organization must have a system that can keep an eye on their data around the clock, including the Dark Web. You can determine whether your email address or other personal information was compromised by a notification by using a digital certificate, which can be a valuable ally. By having a certificate, a person or business can make informed decisions against the actions of cyber criminals by knowing exactly what data or information is shared with other organizations or individuals. As a result, having quality tools will allow you to be informed of any new debts and safeguard your CPF. If you own a business, you can get updates on every transaction to stay away from fraud and scams.

As technology grows, cybersecurity professionals must contend with a world that is becoming more complicated and unpredictable. Global laws are always evolving, and cyberattacks are getting more complex. You may be surprised to learn that, if cybercrime were a nation, it would rank third in the world's economies, behind only the United States and China. These findings came from a study conducted by the 2022 Cybersecurity Almanac. We will examine the emerging trends that will influence cybersecurity in 2024 within this exciting and demanding framework. Read also: What is Green IT and How Important is Sustainability in IT? 1. Shortage of professionals By 2024, there will still be a need for highly qualified cybersecurity specialists. There is a significant and growing gap between accessible jobs and talent. Companies will bet on increased investments in training programs, skill development, and improvement, as well as ongoing compensation increases for individuals with the requisite expertise, to address the scarcity of professionals in the field. 2. Generative AI adopted on both sides of the battle Artificial Intelligence-powered attacks will become more complex and intelligent. These days, strengthening cybersecurity in any digital setting requires artificial intelligence. It is useful, but hackers have taken advantage of it in complex assaults that use AI, machine learning, and other advanced technologies. Therefore, boosting defenses using the same technology that hackers employ will be the most effective way to combat cyberattacks in 2024. 3. Phishing attacks Phishing attacks will always be a significant obstacle for businesses. Phishing is a popular type of cybercrime when thieves pose as reputable companies in an attempt to gain sensitive data, like passwords, bank account information, or other personal information. Raising awareness across the entire organization will be crucial to handling this issue, but adopting zero-trust models and using AI will also become more and more crucial. 4. Cybersecurity as a business strategy Cybersecurity will no longer be limited to the IT department and will be a strategic priority by 2024. By 2025, 40% of firm boards will have a cybersecurity committee of their own, according to a Gartner report. Additionally, according to the research, by 2026, at least one member with professional experience will be present on 70% of boards. This integration will allow us to move beyond reactive protection and develop more effective threat mitigation solutions. 5. Zero Trust is the rule In recent years, the idea of zero trust has been increasingly popular. According to the zero trust method, the key is to have no faith in any entity, either inside or outside the network. In other words, any user, regardless of location, is viewed as a possible threat. This zero-trust security architecture will still be top of mind in 2024 to shield businesses from network lateral movements, external breaches, and internal dangers. 6. Multi-factor authentication By 2024, the use of passwords solely for authentication will be decreasing. Due to the fact that multi-factor authentication requires more information from users than just a password, it will be crucial for safeguarding accounts and data. Companies can also set up a multi-factor authentication system to notify them if any questionable login activity is found. This minimizes losses by enabling businesses to react to cyberattacks more quickly. 7. Cyber resilience and cybersecurity Separating the two terms will become more and more important in 2024. A Forbes forecast states that although the goal of cybersecurity is to avoid attacks, many firms are beginning to place a greater emphasis on resilience as a reflection of the harsh fact that no security can offer 100% safety. The purpose of resilience measures is to guarantee that operations continue even in the event of a successful breach. In 2024, reducing downtime and data loss while concurrently enhancing quick recovery capabilities will continue to be a top strategic focus. 8. State-sponsored cyberattacks Cyberattacks are not limited to the actions of lone hackers. We should expect a rise in state-sponsored espionage and cyberattacks by 2024. For instance, the conflict in Ukraine demonstrated how closely military actions and cyberwarfare activities are related. Nations will have to work together on global projects and bolster their cybersecurity defenses. In summary, cybersecurity trends for 2024 show growing concerns such as a skills scarcity and an increase in advanced AI-driven attacks. The transition to a zero-trust strategy, emphasis on multi-factor authentication, and distinguishing between resilience and cybersecurity are critical. Companies are starting to view cybersecurity as a strategic concern, and combating threats—especially those supported by the state—requires international cooperation. In 2024, maintaining digital integrity will call for creativity, learning, and a proactive strategy to guarantee security in a networked digital environment. If you found the article to be helpful, make sure to check out our blog page for more exclusive first-hand stories about cybersecurity and other topics.