Agentic AI Logging
Facilitates structured logging of Agentic AI calls to MCP servers, enabling continuous security monitoring and automated remediation.
About
This tool provides a practical guide and demonstration for building observable AI agents with Realm.Security's MCP server and structured logging. It tackles the crucial challenge of ensuring continuous security monitoring for AI agents, specifically exemplified through a Phishing Triage Assistant. By enabling structured logging of agentic AI calls, it allows for seamless integration with Security Information and Event Management (SIEM) systems for real-time security monitoring and Security Orchestration, Automation, and Response (SOAR) platforms for automated incident remediation.
Key Features
- Supports automated remediation through SOAR integration
- Includes an AI agent client built with LangGraph
- Provides an MCP server implementation with client-side logging
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- Enables continuous security monitoring via SIEM integration
- Demonstrates structured logging for Agentic AI calls
Use Cases
- Building observable Phishing Triage Assistants
- Enhancing security monitoring for AI agent deployments
- Automating responses to security incidents originating from AI agent activities
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