Summary:
- The article explores the limitations of current AI security agents, specifically their struggle to contextualize threats without deep integration into enterprise-specific knowledge bases.
- It emphasizes that for AI to be truly effective in cybersecurity, it must move beyond general models and utilize verifiable, evidence-based data tailored to a company's unique technical infrastructure.