The enterprise landscape is shifting from simple chatbots to powerful, autonomous agents like Claude Code and Co-work. These agents are the fastest-growing category of AI adoption, performing complex tasks that previously required human developers and knowledge workers.
Existing security frameworks are ill-equipped to handle autonomous agents. Identity controls fail because agents need broad permissions to be useful, while endpoint and API security tools lack the context to understand an agent's intent or the legitimacy of its actions.
The proposed solution is to build an AI to watch the AI. This involves training small, specialized models to act as an efficient triage system, determining when a more powerful "guardian" agent needs to intervene and analyze a high-risk action before it's executed.
Advanced AI models are dramatically lowering the cost and time required to find software vulnerabilities, a threat referred to as "Mythos." This capability, once the domain of elite intelligence agencies, will soon be widely accessible.
A massive market opportunity, estimated at over $100 billion, exists for an independent, third-party company dedicated to AI security and oversight. Enterprises will prefer a neutral third party over security solutions from the AI model vendors themselves due to conflicts of interest and the need to secure a multi-vendor AI ecosystem.
Keep pulling the thread on Maxim Bar Kogan.