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Big thanks to @radware for sponsoring this video! Full report here: https://www.radware.com/blog/threat-intelligence/synthetic-vulnerabilities/ Recent studies show a rapid rise in AI-assisted development: in 2024-2025, between 25% and 35% of newly written code in large organizations is already influenced or partially generated by LLMs. While this is far from a majority, the trend is accelerating quickly – and with it, the security implications of AI-generated code are becoming unavoidable. What was meant to be the ultimate productivity revolution has introduced a problematic side effect: synthetic vulnerabilities – weaknesses that appear only in AI-generated code. The latest large-scale study, analyzing over half a million code samples, found that LLMs: Produce significantly more high-severity vulnerabilities * Recreate insecure coding patterns that do not exist in human-written software * “Hallucinate” abstractions and mini-frameworks that no known library or tool uses Thus, creating an entirely new attack surface that traditional tools such as Static Application Security Testing (SAST) are not equipped to detect. #ai #hack #hacker

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