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Generative AI Becomes the Apex Predator, Exploiting Chaos in Cybersecurity
15 Nov
Summary
- Generative AI acts as a "chaos agent" like the shark in Jaws
- AI models fail 60% of the time, leading to unreliable real-world performance
- 45% of AI-generated code contains OWASP Top 10 vulnerabilities
According to Forrester's 2025 Security and Risk Summit, generative AI has become the new "apex predator" in cybersecurity, acting as a relentless "chaos agent" that exploits weaknesses to devastating effect. Forrester principal analyst Allie Mellen presented research showing that AI models fail 60% of the time, with AI agents failing 70-90% on real-world corporate tasks.
This unreliability is exacerbated by the rapid proliferation of AI, with 88% of security leaders admitting to using unauthorized AI in their workflows. Veracode's 2025 report found that 45% of AI-generated code contains OWASP Top 10 vulnerabilities, creating new attack surfaces that traditional security measures struggle to contain.
Forrester predicts a $27 billion surge in the identity management market by 2029 as organizations grapple with the identity sprawl caused by machine-generated identities. Weaponized generative AI has become the silent, relentless predator stalking enterprise networks, demanding urgent security measures to mitigate the chaos it sows.
