The Hidden Attack Surface: Securing Autonomous AI and Agentic Systems
AI agents pose a significant security risk if not properly guarded, as their autonomy and connectivity can be exploited.
Traditional cybersecurity focused on securing static assets like servers, endpoints, and code, which follow predefined rules.
However, autonomous AI agents introduce a new security challenge, as they can set goals, access databases, and execute code across networks, making them a self-guided security risk.
Organizations are deploying these systems without fully addressing the security implications, creating a massive blind spot.
The very autonomy and connectivity that make these agents so powerful... also turn them into a significant, self-guided security risk.
The shift is from securing static software to securing dynamic, self-evolving, decision-making systems.
Author's summary: Securing autonomous AI requires new guardrails and zero trust controls.
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