Third-party agent components represent external AI services, MCP servers, and agentic endpoints that your application integrates with but doesn't control directly.
In Akto's Agentic inventory, these are clearly marked with the "Third-party" access type, helping you distinguish them from your internal agent components. This categorization is crucial for maintaining visibility over your application's external agentic dependencies and ensuring proper security monitoring of all third-party AI integrations.
Third-party agent components include:
External MCP Servers: Model Context Protocol servers hosted by third parties (e.g., GitHub MCP, Slack MCP, external database connectors)
Third-Party AI Models: OpenAI, Anthropic, Google, or other LLM providers accessed by your agents
External Tools: Agentic components and services invoked by your AI agents that you don't control
Managed Agent Services: SaaS-based agentic platforms and frameworks
Monitoring third-party agent components is essential for:
Security Visibility: Understanding what external services your agents can access
Data Flow Tracking: Identifying where sensitive data is sent outside your system
Compliance: Meeting regulatory requirements for third-party integrations
Risk Management: Assessing the security posture of external dependencies
Supply Chain Security: Protecting against compromised third-party services
Navigate to Agentic Discovery > Collections
Filter by access type: "Third-party"
Review all external agent components and their permissions
Analyze data flows to and from third-party services
Apply appropriate security policies and monitoring
Akto automatically detects and categorizes third-party components based on traffic analysis and endpoint patterns, giving you complete visibility into your agentic application's external dependencies.
Last updated