Agen Observability vs Neo: 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..

Neo: Agentic AI control platform for SecOps to govern autonomous AI tools at runtime. built by Neo. Core capabilities include Lightweight endpoint agent for AI tool discovery and inventory, Real-time policy enforcement at application runtime, LLM-assisted policy authoring and deployment..

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. Neo differentiates with Lightweight endpoint agent for AI tool discovery and inventory, Real-time policy enforcement at application runtime, LLM-assisted policy authoring and deployment.

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

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