AI agents are spreading quickly across the enterprise, but oversight isn’t keeping up. The Gartner Market Guide for Guardian Agents talks about a growing gap as organizations deploy these systems faster than they can supervise them. Operating under human identities but at machine speed, AI agents can access sensitive data, interact with external content, and act in seconds. The challenge isn’t always malicious behavior. It’s often everyday missteps like misconfigured agents or workflows that drift from their original purpose.
DTEX Perspective
Gartner points to the need for new oversight models built for agentic AI. From DTEX’s perspective, closing this gap requires more than alert monitoring. It requires behavioral context across users, agents, applications, files, and data movement. DTEX Triage Guardian is designed to support this approach, helping security teams investigate AI-driven risk with autonomous triage, clear investigation insights, and built-in human review.
We believe in this Gartner report, you will learn:
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Why Gartner says AI agents are difficult to supervise at scale
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How internal behavior drives most AI-related risk
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Where risk emerges across agent workflows and data access
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Why behavioral context is critical to detecting meaningful shifts
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How autonomous triage helps teams keep pace with AI activity
Gartner explores the rise of Guardian Agents in this latest reprint. Download your copy now.
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