3 Critical AI Security Lessons from the OWASP Agentic AI Security Research

Read full article here: https://entro.security/blog/agentic-ai-owasp-research/?source=nhimg

Agentic AI is revolutionizing automation, but it’s also introducing new cybersecurity risks. The latest OWASP Agentic AI research highlights how these systems don’t create entirely new threats—they amplify existing ones in more complex, harder-to-detect ways.

1. Agentic AI magnifies existing threats

Autonomous AI agents can make independent decisions, often without human oversight. This autonomy increases the damage potential of common attacks like privilege misuse or confused deputy scenarios. Over-permissioned agents with broad access become prime lateral movement targets.

2. NHIs are central and vulnerable

Agentic AI relies on non-human identities like API keys, tokens, and service accounts to function. In a single-agent setup, up to a dozen NHIs may be in play—making governance and lifecycle control a massive security concern.

3. Tool execution expands the attack surface

Agentic AI can autonomously call external APIs and tools. While powerful, this dynamic execution introduces supply chain risks, remote code execution vulnerabilities, and cascading failure potential across interconnected systems.

As Agentic AI systems grow, so do the risks. Entro help organizations secure the NHIs that power these AI agents—offering real-time monitoring, automated lifecycle management, and anomaly detection (NHIDR™) to reduce the attack surface and enable secure innovation.