AIR vs Manifold: Side-by-Side Comparison (2026)

AIR: Platform for securing, governing, and monitoring AI agent add-ons at runtime. built by AIR Security. Core capabilities include AI add-on scanning for hidden risks, excessive permissions, and malicious behavior, Agent configuration and permission analysis, AI posture management with continuous risk assessment..

Manifold: Runtime security platform for monitoring AI agents on enterprise endpoints. built by Manifold. Core capabilities include Runtime visibility into AI agent behavior on endpoints, Agentless deployment, Detection of unauthorized system access by AI agents..

Both serve the Agentic AI Security market but differ in approach, feature depth, and target audience.

AIR differentiates with AI add-on scanning for hidden risks, excessive permissions, and malicious behavior, Agent configuration and permission analysis, AI posture management with continuous risk assessment. Manifold differentiates with Runtime visibility into AI agent behavior on endpoints, Agentless deployment, Detection of unauthorized system access by AI agents.

AIR is developed by AIR Security. Manifold is developed by Manifold. The vendor behind a product decides its roadmap, support, and longevity, so check each company's profile before you commit.

AIR integrates with Multiple vendors of EDR, MDM, Agent platforms, SIEM, IDP, DSPM, VM, CSPM, LLM Gateways, SASE, Oath, SAML, SCIM, API, webhooks. Manifold integrates with OpenTelemetry. Check integration compatibility with your existing security stack before deciding.

AIR and Manifold serve similar Agentic AI Security use cases: both are Agentic AI Security tools, both cover Agentic AI Security, Runtime Security, AI Observability. Review the feature comparison above to determine which fits your requirements.