Behavioral AI extends security posture management beyond checking settings to understanding how configurations interact with actual user behavior and communication patterns. Static configuration checking answers whether something is configured correctly. Behavioral AI expands this by answering whether configurations are being used correctly.
Abnormal's behavioral AI operates through a three-layer framework that provides comprehensive security context:
Identity Awareness establishes baselines for individual users, understanding their typical communication patterns, login behaviors, and role-based activities across the organization
Context Awareness analyzes relationships between users, vendors, and applications to identify anomalies that deviate from established patterns of normal interaction
Risk Awareness correlates signals across all layers to assess the true threat level of configuration changes and user activities in real time
A mail forwarding rule might comply with policies yet represent a security incident if created by a compromised account. By analyzing how configurations interact with actual behavior patterns, Abnormal's Behavioral AI identifies situations where technically compliant settings create elevated risk. An email account with properly configured permissions becomes high-risk when combined with unusual login locations, mass file downloads, and recently created forwarding rules.
Abnormal's interconnected knowledge bases continuously analyze Microsoft 365 configurations against behavioral baselines:
PeopleBase tracks individual user behavior patterns and communication norms
VendorBase monitors external partner interactions and identifies supply chain risks
AppBase catalogs third-party application permissions and OAuth grant patterns
TenantBase maintains organization-wide configuration baselines and security policies
Together, these knowledge bases detect when technically compliant settings create elevated risk through correlation with user behavior patterns. This approach identifies security gaps that static configuration audits miss, providing continuous visibility into posture drift without requiring manual review cycles.