Agen Observability vs Pebblo: 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..

Pebblo: AI security platform enforcing access control & governance for AI apps/agents. built by Daxa.ai. Core capabilities include Permissions-aware data connectors with classification for enterprise data sources (Safe Connectors), Role-appropriate and compliant data retrieval from vector databases (Safe Retriever), Secure MCP agent data access with identity and policy control, including prompt injection protection (Safe MCP)..

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. Pebblo differentiates with Permissions-aware data connectors with classification for enterprise data sources (Safe Connectors), Role-appropriate and compliant data retrieval from vector databases (Safe Retriever), Secure MCP agent data access with identity and policy control, including prompt injection protection (Safe MCP).

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

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