According to the forecast from the EDUTO, 2024 will be a challenging year for the global security industry as cyber security threats continue to increase in frequency and sophistication, requiring security methods to be flexible and constantly improved. In that context, updating new security trends is a key factor to help businesses prepare and successfully respond to potential risks. Join EDUTO to learn about the trends and predictions about cybersecurity in 2024 in the following article.

Strengthening the development of AI and Machine Learning technology in cybersecurity

In the face of complex cybersecurity threats, the application of Artificial intelligence (AI) and machine learning (ML) has emerged as an inevitable trend in 2024. According to Gartner's report, 70% of cybersecurity projects will integrate AI in 2024, compared to 15% in 2020.

AI technology brings huge benefits to organizations and individuals:

• Rapid detection and response : AI systems are capable of analyzing massive amounts of data from multiple sources, helping to detect early signs of cyber attacks and respond promptly.
• Enhanced security and information privacy : AI can automatically learn and adapt to new threats, enhancing defenses and protecting sensitive data.
• Automate security processes : AI helps automate repetitive tasks, reducing the burden on cybersecurity teams and allowing them to focus on more specialized work.

According to security experts at VNETWORK, the outstanding advantages of AI technology include:

• Ability to self-learn and adapt quickly : AI does not rely on fixed rules but automatically learns from data, recognizes unusual behaviors, effectively detects sophisticated cyber attacks, fraud, or emerging threats.
• Enhanced proactive defense capabilities : AI helps predict and prevent attacks before they happen, rather than focusing solely on detecting and responding after an attack.

The application of AI and Machine Learning is a breakthrough in cybersecurity, providing more comprehensive and effective protection. Deploying AI will help organizations and individuals improve their defense capabilities, protect data and secure systems against increasing threats.

Increasing the importance of IoT security

The year 2024 promises to be a boom year for the Internet of Things (IoT). According to Statista, the number of IoT devices will reach 38.6 billion in 2024, up from 13.8 billion in 2021. However, along with this boom comes huge cybersecurity challenges, including:

• Attack Targets : The diversity and ubiquity of IoT devices make them ideal targets for cyberattacks.
• Security Vulnerabilities : Most IoT devices have low security, making them vulnerable to hackers.
• Centralized Systems : Centralized IoT systems are vulnerable to cyber attacks, causing great damage.

According to security experts at VNETWORK, solutions to deal with the above challenges include:

• Enhancing the security of the unit To ensure the safety of IoT systems, standard security measures are being developed and widely adopted. This includes the development and implementation of strong security protocols, standardization of IoT data encryption, and the imposition of security certification requirements for all new IoT devices.
• Integrating AI and Machine Learning To enhance defenses against cybersecurity threats, the use of artificial intelligence (AI) and machine learning is being applied to monitor and analyze unusual patterns, thereby detecting potential threats early. At the same time, automating responses is becoming an indispensable part, helping to provide rapid responses to cybersecurity threats.
• Blockchain Technology To enhance the security of IoT networks, the adoption of blockchain technology has become an important trend. Blockchain helps increase the decentralization and security of IoT networks by storing information securely and immutably. At the same time, minimizing losses due to attacks on centralized systems is a priority, helping to limit the negative consequences of security incidents.

IoT cybersecurity is an important issue that needs to be addressed in 2024. By adopting the right solutions and raising public awareness, we can build a safe and efficient IoT environment.

Digital identity authentication security is increasingly important in cybersecurity

Digital identity authentication plays a key role in the current cybersecurity strategy in many countries around the world, ensuring accurate and secure identity verification and authorization. In the context of increasingly complex network environments and increasing cyber attacks, protecting important information and personal identities of users and organizations is more urgent than ever.

According to Gartner's Global State of Information Security 2023 report, it is predicted that by 2025, approximately 90% of cyberattacks will involve identity theft. Additionally, it is estimated that by 2022, approximately 80% of organizations will have deployed multi-factor authentication (MFA) solutions.

Digital identity authentication offers several significant benefits. First, it improves security by reducing the risk of unauthorized access to systems and data. Second, digital identity authentication enhances the ability to protect sensitive data, personal information, and intellectual property of the organization. Finally, it improves the user experience by providing a faster and more convenient login process.

However, traditional authentication methods such as passwords are becoming obsolete for several reasons. First, they are vulnerable to attack, and can be stolen, cracked, or guessed. Second, they lack the security to deal with sophisticated attacks.

Therefore, according to security experts at VNETWORK, applying advanced authentication methods is essential for businesses today, including:

• Multi-factor authentication (MFA) : Requires users to provide multiple authentication factors for added security.
• Biometric authentication : Using biological characteristics such as fingerprints, face, or voice to verify identity.
• Blockchain-based authentication : Use blockchain technology to create a decentralized and secure authentication system.

Digital identity authentication plays an undeniable role in protecting cyber security today. Therefore, the use of advanced authentication methods is essential to ensure the security of information and identities of both users and organizations. Applying digital identity authentication solutions plays an important role in building a safe and trustworthy cyber environment for everyone.

Trends in the application of generative AI and large language models (LLMs) by hackers

The explosive growth of artificial intelligence (AI), especially generative AI and large language models (LLMs), is bringing about huge changes in the field of cybersecurity. However, this is also a double-edged sword as attackers are taking full advantage of the potential of these technologies to carry out more sophisticated and dangerous attacks.

According to Gartner's 2023 report, it is predicted that by 2025, about 90% of cyber attacks will involve artificial intelligence (AI). Additionally, it is estimated that by 2024, about 75% of organizations will use AI to detect and respond to cyber threats.

How are Generative AI and LLMs Applied in Cyber ​​Attacks?

Social Engineering attack

• Deepfake: Create fake information such as voice, video, image to fool users.
• Self-adapting: Automatically adapts attack content to each target, making detection more difficult.

Phishing attack

• Phishing content: Create sophisticated phishing emails and SMS messages that directly target users.
• Relevant elements: Add logos, company names to increase the credibility of phishing messages.

To combat this, cybersecurity vendors are integrating artificial intelligence (AI) into their security systems to enhance real-time threat detection. By analyzing data, they are able to quickly detect signs of cyberattacks. In addition, these solutions deploy intelligent authentication methods to ensure user identity and transaction legitimacy. Finally, they automatically respond to incidents by taking measures to prevent attacks, minimizing damage to the network.

Increase vigilance against zero-day and edge attacks in 2024

According to Google's forecast, 2024 will see an explosive increase in zero-day attacks targeting edge devices and exploiting vulnerabilities in virtualization software. These are dangerous threats that organizations need to pay attention to and implement appropriate protection measures.

• Zero-day vulnerabilities The emergence of new zero-day vulnerabilities poses a significant challenge for software vendors, making detection and remediation difficult and time-consuming. The consequences of these vulnerabilities can be severe, as attackers can exploit them to infiltrate systems, steal critical information, and perform other malicious actions, posing a significant risk to organizations.
• Edge Devices Emerging targets are internet-connected devices that sit at the edge of a network, including surveillance cameras, routers, and IoT devices. Their low security and difficulty in updating software make them easy targets for attackers.
• Virtualization software is a popular technology used to create virtual machines on the same physical server, virtualization software is an attractive target for hackers. Accordingly, the vulnerability in virtualization software can allow attackers to access all virtual machines hosted on the same server, causing serious consequences.

The consequences of attacks include an increased risk of success, with the potential for attackers to maintain access to systems for extended periods of time, causing financial loss and impacting the organization’s reputation. Additionally, the difficulty of detection becomes a major issue, as traditional methods such as detection via phishing emails or malware are no longer effective enough to combat zero-day attacks and attacks on edge devices.

According to security experts at VNETWORK, solutions for businesses to effectively deal with the above situation include:

• Raise awareness : Increase user awareness of zero-day and edge threats.
• Regular software updates : Perform periodic software and operating system updates to patch security vulnerabilities.
• Implement advanced security solutions : Use security solutions that can detect and prevent zero-day attacks and attacks on edge devices.

Zero-day attacks and edge attacks are dangerous cybersecurity threats to watch out for in 2024. Therefore, organizations and businesses need to take proactive measures to improve their protection against these threats, keep data safe, and keep systems secure.

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VNIS Platform - Comprehensive security solution for businesses

In order to address businesses' concerns about the increasingly large and sophisticated attack trends today, VNETWORK Joint Stock Company has launched VNIS (VNETWORK Internet Security) - a comprehensive Web/App/API security solution. With the ability to effectively respond to attacks on Layer 3/4/7 while still ensuring stable system operation, VNIS is committed to bringing customers peace of mind in protecting the system against all cyber attacks.

Accordingly, VNIS helps protect the security of business systems with:

Strong global infrastructure

With over 2,300 connection points globally, our VNIS solution provides the ability to handle traffic volumes of up to 2,600 Tbps, ensuring that your business website is always up and running with 100% reliability, even against cyber security attacks.

Applying AI and Machine Learning technology to management systems

The VNIS platform has been equipped with Multi WAF by VNETWORK, with many Cloud WAF clusters globally, ready to take advantage of dense cloud infrastructure to quickly isolate threats when website traffic spikes. Accompanying this is the WAF network monitoring system (Scrubbing Center) that coordinates all activities of Cloud WAF clusters in many countries, helping to combat Layer 7 DDoS more effectively.

Taking advantage of the development of artificial intelligence AI, VNETWORK has built an intelligent load balancing system (AI Load Balancing) combined with a Real User Monitoring System (RUM) with the ability to analyze in detail attack sources, report real user interactions with the website to coordinate traffic to the website. According to the operating principle, AI Load Balancing will combine with CDN, through the RUM and Synthetic Monitoring systems, automatically detect the shortest path between the server and the user and route traffic optimally. In addition, the AI ​​Load Balancing system also allows load balancing of multiple servers with options: IP hash, round-robin or failover.

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24/7 support from SOC experts

Understanding the urgency and timeliness of security, VNETWORK has built Security Operation Centers (SOC) with the spirit of being ready to fight in urgent situations to minimize losses. Currently, VNETWORK's SOC team is present in Vietnam, Hong Kong, Taiwan, Singapore and the UK to support and fight with businesses against all attacks.

Epilogue

With the increasing complexity of attacks as well as the predicted cybersecurity trends in 2024, choosing the right security solution is extremely important for businesses, directly affecting the safety and stability of the system, as well as user experience and business operations. VNIS platform is a comprehensive and effective security solution, providing the necessary support for businesses to protect websites, applications and APIs from all risks of attack.

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