Behavioral Baselines

Behavioral baselines are reference profiles of how a system, user, or AI model normally operates, such as typical request volumes, data access patterns, or output characteristics. Security and monitoring teams compare live activity against these baselines to spot drift, misuse, or compromise that would otherwise go unnoticed. For enterprise AI governance, they matter because regulators and internal audit increasingly expect organizations to show that AI systems are monitored for behavior changes after deployment, not just tested before launch.

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ResearchUS2026-11-09

46% of Security Teams Cannot Define Normal AI Agent Behavior

A survey by Abnormal AI found that 46 percent of security professionals cannot establish safe behavioral baselines for AI agents. Also, 53 percent have not defined normal baselines for machine identities (non-human accounts used by software and AI systems). Without these baselines, organizations cannot reliably detect when an agent is acting outside its authorized scope. The findings expose a foundational gap in continuous monitoring, incident response, and identity governance programs.

Abnormal AI AI agents machine identity behavioral baselines agentic AI continuous monitoring incident response identity governance