The Invisible Attack Surface: Securing Autonomous AI and Agentic Systems
AI agents are powerful, but without new guardrails and zero trust controls, they can quickly become a significant security risk.
For decades, cybersecurity focused on securing static assets like servers, endpoints, and code, which are typically deterministic and follow clear rules.
However, the introduction of autonomous AI agents changes the security landscape, as their autonomy and connectivity create a self-guided security risk.
We are shifting from securing static software to securing dynamic, self-evolving, decision-making systems, and many organizations are deploying AI without addressing this blind spot.
The very autonomy and connectivity that make these agents so powerful, their ability to set goals, access databases and execute code across your network, also turn them into a significant security risk.
Author's summary: Securing autonomous AI requires new approaches to mitigate unseen risks.