Agentic AI systems Remote Code Execution Vulnerability

Agentic AI systems introduce new architectural risks due to their autonomous planning, decision-making, and tool-use capabilities, moving the attack surface from static models to dynamic workflows. Key threats include memory poisoning, tool misuse, and potential remote code execution (RCE) stemming from manipulated agent reasoning paths, external interactions, and inter-agent communications.

What Happened

Agentic AI systems introduce new architectural risks due to their autonomous planning, decision-making, and tool-use capabilities, moving the attack surface from static models to dynamic workflows. Key threats include memory poisoning, tool misuse, and potential remote code execution (RCE) stemming from manipulated agent reasoning paths, external interactions, and inter-agent communications.

Why This Matters

The evidence matters to defenders using Agentic AI systems because it could let an attacker run code in affected environments.

Recommended Action

Confirm whether How is present in your environment and review vendor guidance for this report. Apply available patches or mitigations if your deployment matches the described conditions.

Exposure

Exposure reason: This incident does not currently match a technology in My Interests.

Exploitation status: UNKNOWN

Primary entities:

Timeline

• Incident first seen
  Nov 26, 2025 05:30

  BugSkan first recorded this incident.

• Agentic AI Security: What It Is and How to Do It - Palo Alto Networks
  Nov 26, 2025 05:30

  paloaltonetworks.com · Vulnerability

Sources

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My Interests Match