Agen Observability vs KeyRunner: Side-by-Side Comparison (2026)

Agen Observability: Discovers, monitors, and governs AI agent & MCP access to enterprise systems. built by Agen.co. Core capabilities include Automated discovery and inventory of all AI agents, copilots, and MCP connections, User monitoring to track which employees are using which AI agents, MCP observability to detect unauthorized or homegrown MCP servers..

KeyRunner: Governed runtime securing AI agent API calls with credential injection & PII redaction. built by KeyRunner. Core capabilities include Pre-execution policy enforcement with RBAC before every API call, Runtime credential injection from external vaults without exposing secrets to agents, PII, PHI, and card data redaction from API responses before reaching the agent..

Both serve the Agentic AI Security market but differ in approach, feature depth, and target audience.

Agen Observability differentiates with Automated discovery and inventory of all AI agents, copilots, and MCP connections, User monitoring to track which employees are using which AI agents, MCP observability to detect unauthorized or homegrown MCP servers. KeyRunner differentiates with Pre-execution policy enforcement with RBAC before every API call, Runtime credential injection from external vaults without exposing secrets to agents, PII, PHI, and card data redaction from API responses before reaching the agent.

Agen Observability is developed by Agen.co. KeyRunner is developed by KeyRunner. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Agen Observability and KeyRunner serve similar Agentic AI Security use cases: both are Agentic AI Security tools, both cover Agentic AI Security, MCP Security, RBAC. Review the feature comparison above to determine which fits your requirements.