Agen Observability vs Dreadnode Spyglass: 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..

Dreadnode Spyglass: AI red teaming platform for adversarial testing of deployed AI systems. built by Dreadnode. Core capabilities include Launch adversarial attacks against deployed AI systems, Execute operations via Strikes and Runs, Add custom targets, datasets, and scoring mechanisms..

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. Dreadnode Spyglass differentiates with Launch adversarial attacks against deployed AI systems, Execute operations via Strikes and Runs, Add custom targets, datasets, and scoring mechanisms.

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

Agen Observability and Dreadnode Spyglass serve similar Agentic AI Security use cases. Review the feature comparison above to determine which fits your requirements.