A new report argues that 2026 is becoming a turning point for cybercrime as artificial intelligence dramatically lowers the barrier to launching sophisticated attacks. The article points to a case in Japan where a 17-year-old allegedly used AI-generated malicious code to steal data from millions of users despite having limited technical skills. Security experts say modern AI systems can now help inexperienced attackers generate phishing campaigns, malware, exploit code, and social engineering tactics at unprecedented speed.
Researchers warn that AI-assisted hacking is transforming “script kiddies” into much more capable threat actors. Advanced models are increasingly able to scan large codebases, identify vulnerabilities, and even produce working exploits automatically. Cybersecurity professionals fear this could sharply reduce the time between discovering a software flaw and exploiting it in real-world attacks. Industry analysts describe AI as a “force multiplier” that accelerates every stage of the attack lifecycle.
The rise of AI-generated code is also creating new security risks inside software development itself. Experts have reported growing waves of “AI slop,” including flawed code, fake vulnerability reports, and poorly reviewed AI-generated patches that overwhelm security teams. Open-source projects and enterprises alike are struggling to verify the quality and authenticity of machine-generated contributions while attackers exploit weak oversight and rushed deployment cycles.
Despite the growing threat landscape, cybersecurity specialists argue that AI can also strengthen defenses when used responsibly. Companies are investing in AI-powered threat detection, automated monitoring, and defensive AI agents capable of identifying attacks faster than human analysts alone. However, experts increasingly believe the cyber arms race is entering a new era where both attackers and defenders rely heavily on AI systems, making adaptability, rapid patching, and human oversight more important than ever.
