What is SIEM Integration?

Security Information and Event Management (SIEM) systems are the central nervous system of enterprise security operations. They collect logs from across the infrastructure — firewalls, applications, databases, identity providers — correlate events, detect anomalies, and generate alerts. If your AI agent logs are not in the SIEM, your security team is blind to agent-related threats.

SIEM integration for MCP proxy logs enables several critical capabilities. Correlation: an agent's tool call can be correlated with the user session that initiated it, the network traffic it generated, and the database queries it triggered. Anomaly detection: SIEM rules can flag unusual patterns — an agent making tool calls outside business hours, accessing tools it has never used before, or generating an unusually high volume of denials. Compliance dashboards: pre-built views showing policy enforcement metrics, violation trends, and audit readiness.

Without SIEM integration, agent security monitoring is reactive — you find out about problems when something visibly breaks or a compliance audit surfaces gaps. With SIEM integration, monitoring is proactive — your SOC team sees agent activity alongside everything else, and can detect and respond to threats in real time.

PolicyLayer's structured JSON logs are designed for direct SIEM ingestion. Each decision log entry contains the fields SIEM platforms need for indexing, correlation, and alerting — including tool name, agent identity, policy decision, matched rule, and timestamp. Organisations can create SIEM detection rules for PolicyLayer-specific events: repeated policy denials from a single agent, access attempts to sensitive tools, or policy evaluation errors that might indicate misconfiguration. Common SIEM platforms (Splunk, Datadog, Elastic Security, Microsoft Sentinel) can ingest PolicyLayer logs via standard log forwarding agents.