Astrix Agentic AI Security is a commercial agentic AI security solution by Astrix Security. Oso is a commercial agentic AI security solution by Oso. Features, integrations, deployment and the company behind each one, side by side.
What our shortlists say about the one we picked.
Best for: Teams with sprawling service accounts and agents
Start here if your agent problem is really a service account and API key problem, because Astrix treats an agent as one more non-human identity to inventory and limit. It is cloud-delivered for mid-market and enterprise teams. Cisco acquired Astrix in 2026, so ask how the roadmap and licensing will change before you sign a long term.
From Best Agentic AI Security Solutions for Business, Fall 2026
Reviewed by Nika (Nikoloz) Kokhreidze.
Secures AI agents, MCP servers, and non-human identities with discovery & ITDR
Security platform for monitoring, controlling, and auditing AI coding agents
See more solutions in this category, or build a security stack from your picks.
Need the answer fast? Best Agentic AI Security Solutions for Business picks CrowdStrike Falcon Guardian, Rubrik Agent Cloud, Silverfort AI Agent Security and 5 more.See the shortlist
Based on what each listing shows: deployment, company size, price and open source.
Oso fits if you are a small business.
Common questions when comparing Astrix Agentic AI Security vs Oso for agentic AI security.
Astrix Agentic AI Security: Secures AI agents, MCP servers, and non-human identities with discovery & ITDR. Built by Astrix Security.
Oso: Security platform for monitoring, controlling, and auditing AI coding agents. Built by Oso.
The table above shows where their features, integrations, deployment and company size fit differ.
Astrix Agentic AI Security is made by Astrix Security. Oso is made by Oso. The vendor behind a product decides its roadmap, support, and longevity, so check each company's profile before you commit.
Often, yes. Astrix Agentic AI Security and Oso are both Agentic AI Security products. Use the table above to see where features, deployment and company size fit differ.