Onyx is an agentic AI security platform that discovers, monitors, governs, and protects enterprise AI agents by providing centralized visibility, runtime oversight, and governance controls.
Published Oct 9, 2026
Agentic AI security overlaps multiple adjacent categories (prompt injection protection, AI posture management, runtime monitoring, and network/SASE enforcement), so competitors differ significantly by technical approach and enforcement locus.
Acquisitions and platform consolidation in related areas indicate that some functionality may be bundled into larger network/SASE or cloud security platforms over time. Buyers should consider product roadmaps and potential integration with existing platform vendors.
| Starting Price | Not publicly disclosed; engagement is demonstration-led | Contact sales | Contact sales |
| Primary Use Case | Enterprises requiring centralized discovery, governance, and runtime controls for AI agents | Teams focused on prompt injection and LLM input/output protections | Organizations seeking broader ML/AI security posture controls and model scanning |
| Key Strength | Focus on centralized visibility for agents; vendor documentation of compliance artifacts in a trust center | Established in discussions around prompt injection defense | Broad ML security feature set used in enterprise evaluations |
| Key Weakness | Limited independent public reviews; limited publicly available technical enforcement detail and ROI evidence | Pricing and deployment fit vary; may focus on LLM layer rather than full agent runtime | Can be feature-rich and potentially more expensive; may focus on ML supply-chain controls rather than agent runtime enforcement |
—
Based on vendor materials, Onyx emphasizes comprehensive visibility across agents, a staged lifecycle approach (discovery → governance → runtime protection), and documented compliance artifacts and BYOC deployment options.
Where competitors may have advantages: