AI agents are taking unintended actions and operating beyond IT’s sight. Here’s how to close the security blind spot.

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By 2026, AI agent sprawl has become a critical security risk in SaaS environments. Research shows 80% of organizations deploying autonomous AI cannot confidently say what their agents are doing, and 8 in 10 report unintended agent actions including unauthorized data access and credential leaks. Traditional SaaS security tools and human-in-the-loop approaches are insufficient because agents operate under their own identities, bypassing user-level access controls. The recommended governance framework involves three pillars: building a comprehensive agent inventory across all platforms (Bedrock, Vertex AI, LangChain, etc.), enforcing scoped and time-bound permissions with unique agent identities, and implementing automated risk scoring to classify and remediate overprivileged or inactive agents.

Tackling the Uncontrolled Growth of AI Agents in Modern SaaS Environments

Why Not Use Traditional SaaS Security Tools?

Embed Governance & Visibility Early to Move Faster With AI Agents