Gartner® AI Agents Are Insufficient to Secure Agentic AI Today
The concept of “agents securing agents” remains largely aspirational; most current solutions provide monitoring or limited blocking, not fully autonomous remediation.
To secure agentic AI today, cybersecurity leaders must prioritize deterministic runtime controls, identity-based cybersecurity, and governance.
Key takeaways from the report:
Why an identity-based approach is the starting point for securing AI agents.
The five workstreams of an agentic AI cybersecurity program, from access modeling to intent-based monitoring.
How to govern agent ownership across the lifecycle.
What deterministic runtime controls look like in practice: scoped agency, just-in-time access, and locked-down MCP, A2A, and API tokens.
How to discover and manage shadow AI without resorting to blanket bans.
Get complimentary access
Read the full report today.
Gartner AI Agents Are Insufficient to Secure Agentic AI Today, Craig Porter, Zachary Smith, 17 July 2026.
Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.
Gartner is a trademark of Gartner, Inc., and/or its affiliates.