Features, pricing, ratings, and pros and cons, compared head to head.
Agen Observability is a commercial agentic ai security tool by Agen.co. Caterpillar is a free agentic ai security tool by Alice. Compare features, ratings, integrations, and community reviews side by side to find the best agentic ai security fit for your security stack. Independent and vendor-neutral: our scores and rankings are earned, never bought — sponsored placement is always labeled.
Based on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
Startup and SMB security teams adopting Claude Skills or similar AI agents need Caterpillar because it's the only free CLI scanner that catches permission escalation and credential theft in agent code before installation. It installs via curl with zero API key friction and covers both the ID.RA risk assessment and PR.PS platform hardening that NIST CSF 2.0 demands. Skip this if your organization needs post-deployment agent monitoring or runtime behavior analysis; Caterpillar stops threats at the gate, not in production.
Discovers, monitors, and governs AI agent & MCP access to enterprise systems.
CLI scanner that detects security threats in AI agent skills before installation.
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Common questions about comparing Agen Observability vs Caterpillar for your agentic ai security needs.
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..
Caterpillar: CLI scanner that detects security threats in AI agent skills before installation. built by Alice. Core capabilities include Scan AI skill files and directories for security threats, Detect dangerous or excessive permission requests, Identify data exfiltration behaviors in skills..
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. Caterpillar differentiates with Scan AI skill files and directories for security threats, Detect dangerous or excessive permission requests, Identify data exfiltration behaviors in skills.
Agen Observability is developed by Agen.co. Caterpillar is developed by Alice founded in 2018-01-01T00:00:00.000Z. The vendor behind a product decides its roadmap, support, and longevity, so check each company's profile before you commit.
Agen Observability and Caterpillar serve similar Agentic AI Security use cases: both are Agentic AI Security tools, both cover Agentic AI Security, MCP Security. Key differences: Agen Observability is Commercial while Caterpillar is Free. Review the feature comparison above to determine which fits your requirements.
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