Source: SiliconANGLE
As enterprises deploy autonomous AI agents for threat detection and incident response, attackers are reverse-engineering and repurposing those same capabilities to evade them—compressing the advantage cycle so that defensive innovations become offensive templates within months rather than years. Moving from pilot to production systems means security teams now race adversaries with equal access to the same AI training data and model architectures. The lag time that once allowed defenders to patch vulnerabilities before widespread exploitation has collapsed. Asymmetric advantage requires information asymmetry. When both sides train on similar datasets and deploy similar models, that asymmetry disappears. This is a structural feature of AI-driven security, not a temporary coordination problem.