How to Secure Enterprise Agentic AI Ambition
Your AI agents are multiplying. Your security program can’t see them.
AI agents promise transformative automation, but Gartner warns they’re creating a shadow attack surface that most security programs can’t see, govern, or contain. Shadow AI is spreading without oversight. Agents are inheriting human-level access they shouldn’t have. And nondeterministic behavior means traditional controls can’t keep up. This report provides CISOs and security leaders with a structured five-workstream cybersecurity program to secure agentic AI ambitions, from discovery and access modeling through runtime monitoring, all without slowing innovation.
Key findings:
- “A rapid influx of AI tools and agents adopted by employees and developers without central oversight has led to shadow attack surfaces, such as employees using unapproved AI automation in enterprise or public applications, dispersed throughout the organization.”
- “CISOs must prioritize deterministic controls to minimize agentic privilege abuses and contain AI agents’ agency, instead of relying primarily on AI to police itself.”
- “With fully autonomous AI agents, time-based service-level agreements become irrelevant. Automated intent-based analytics become necessary, making false positive rate the key quality metric for incident response.”
According to Gartner,
“By 2028, CISOs and CIOs who collaborate with business leaders to implement a structured cybersecurity program for agentic AI will accelerate high-agency AI initiatives by 20% and reduce critical incidents by more than 50%.“
Download the full report to implement five core workstreams into your agentic AI cybersecurity program, before your shadow AI agents become your biggest exposure.
Gartner, How to Secure Enterprise Agentic AI Ambition, Jeremy D’Hoinne, Dionisio Zumerle. Published January 2026.
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