Agent Event Behaviour Analysis (AEBA): A Framework for Behavioural Security Monitoring of Autonomous AI Agents

This document specifies Agent Event Behaviour Analysis (AEBA), a framework for collecting, signing, exchanging, and analysing behavioural events produced by autonomous AI agents. AEBA is the agent-domain equivalent of User and Entity Behaviour Analytics (UEBA) as commonly deployed in enterprise Security Operations Centres. It defines a canonical event schema, signature binding to agent identity, baseline and peer-group exchange protocols, deviation signalling, detection rule structure, revocation mechanisms, and interoperability bindings for existing Security Information and Event Management (SIEM) event formats (syslog, CEF, LEEF). The framework is designed to compose with existing cryptographic primitives for agent identity, payment, and transport security, and to support cross-framework deployments in which agents produced by different runtimes must share a common behavioural observability surface.