Agen Observability vs Oso: 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..

Oso: Security platform for monitoring, controlling, and auditing AI coding agents. built by Oso. Core capabilities include Policy-based authorization engine, Role-based access control (RBAC), Relationship-based access control (ReBAC)..

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. Oso differentiates with Policy-based authorization engine, Role-based access control (RBAC), Relationship-based access control (ReBAC).

Agen Observability is developed by Agen.co. Oso is developed by Oso. The vendor behind a product decides its roadmap, support, and longevity, so check each company's profile before you commit.

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