Abnormal AI

Abnormal AI is a cybersecurity vendor that uses machine learning to detect email-based threats such as phishing, business email compromise (fraudulent messages that impersonate executives or vendors to redirect payments), and account takeover. For compliance and risk teams, it matters because email remains a primary entry point for fraud and data breaches, and vendors in this category often handle sensitive message content, so their data handling, model transparency, and incident reporting practices fall within third-party risk reviews.

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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