As the scope and level of AI (artificial intelligence) application increase across the Asia-Pacific region (APAC), the impacts are not limited to productivity or customer experience.
Through their research, Kaspersky's cybersecurity experts have made 8 predictions about the impact of AI, which is both a threat and a cybersecurity shield in 2026.
1. Deepfake is gradually becoming a popular technology, so awareness of Deepfake will also continue to increase. Businesses are increasingly focusing on discussing risks from aggregated content and training employees to reduce the risk of becoming victims.
2. The quality of Deepfake will be improved when audio technology is better, and starting to use Deepfake becomes simpler. This is also a fatal point that cybercriminals will take advantage of to exploit thoroughly.
3. Efforts to build and develop a reliable AI content labeling system. There are still no common and reliable standards for identifying content created by AI. Current identification labels are easily overlooked or removed, especially with open source models. Therefore, in the coming time, the parties will promote more new initiatives both technically and legally to solve this problem.
4. Online Deepfake will continue to develop, but it is still a tool for users to improve. However, the high level of authenticity and the ability to manipulate videos through virtual cameras make scams more convincing, increasing the risk in intentional attack situations.
5. The open source AI model is gradually approaching the top-notch source model in many network security tasks, increasing the risk of abuse. This blurs the boundaries between the two types of models, putting both at risk of being exploited for bad purposes.
6. The line between legal and fraudulent content created by AI will become increasingly blurred. The inevitable consequence is that distinguishing between real and fake will become increasingly difficult for both users and automatic detection systems.
7. AI will become a xuyen suot tool in cyber security attacks and is used in most stages of the attack chain. In the future, AI will support most stages of an attack: from preparation, communication, combination of attack tools, vulnerability scanning to attack deployment.
8. AI is increasingly widely used in security analysis and changing the way cybersecurity administrators work.
To ensure safety for organizations at APAC during the AI-based transformation process, cybersecurity experts have made recommendations:
- Always update software on all devices being used to prevent bad guys from entering the system by exploiting vulnerabilities.
- Do not expose remote access services (such as Remote Desktop - RDP) to the public network if not really necessary, and always use strong passwords for these services.
- Deploy advanced security solutions, helping businesses have a comprehensive view of IT infrastructure, thereby quickly detecting, prioritizing, processing, investigating and neutralizing complex threats, including intentional APT attacks.
- Always update the latest Threat Intelligence information to grasp the tactics, techniques and processes (TTP) that cybercriminals are using.
- Store enterprise data regularly, isolate backups from the main network and ensure quick access in case of emergency.
