Log Aggregation (Agent)

Log aggregation for AI agents is the collection of log output from multiple agents, frameworks, tools, and infrastructure components into a centralised store where it can be queried, correlated, and alerted on. Centralised logs give security and compliance teams a unified view of all agent activity, enable cross-agent incident investigation, and are required for comprehensive audit trail coverage.