In 2026, cybersecurity threats are entering a new phase as artificial intelligence is being used not only for defense but also exploited to carry out large-scale cyberattacks. Malicious AI systems capable of automatically scanning for vulnerabilities, spreading adaptive malware, and attacking multiple targets at once are completely reshaping the global digital security landscape.
In response, regulators have introduced a new legal framework to control and prevent AI-enabled cyberattacks. Under these rules, cyber offenses involving artificial intelligence or advanced automated systems will be classified as high-tech crimes of exceptionally serious severity.
A key provision of the law requires organizations, businesses, and government agencies to upgrade their AI-based cyber defense systems. These systems can monitor data traffic in real time, detect abnormal behavior, and automatically trigger response mechanisms when signs of an attack are identified.
In addition, the law mandates the deployment of an “active defense” model, under which systems not only prevent attacks but also predict and stop them before damage occurs. This requires a combination of big data analytics, machine learning, and early warning systems.
Another notable point is the legal responsibility of businesses in protecting user data. If security systems are not strong enough and this leads to data leaks or major damage, companies may face stricter penalties, including both civil and administrative liability.
From a national perspective, this law is not merely technical in nature but also part of a broader national security strategy. As cyberattacks can affect critical infrastructure such as banking, energy, and transportation, controlling malicious AI has become a top priority.
Experts say that future cybersecurity will no longer be a battle between humans, but a confrontation between offensive AI and defensive AI, where speed and data-processing capability determine the entire outcome.