Security validation for AI systems that can take action.
Oxyne is building an agentic AI security validation platform for organizations connecting models to private data, authenticated applications, APIs, and tools.
Prompt testing alone cannot establish system security.
Once an AI system can retrieve enterprise data, preserve context, call tools, and modify real systems, its security boundary becomes the complete connected implementation. Oxyne exists to test reachable behavior across those boundaries and produce evidence security teams can independently review.
The platform combines recurring AI security testing with deeper, explicitly scoped red-team campaigns. Oxyne does not currently claim runtime enforcement, external certification, private deployment, or an available AI Assurance engine.
Test the implementation
AI security is shaped by applications, APIs, retrieval, sessions, tools, and permissions—not only model output.
Preserve the evidence
A finding should retain its transcript, explicit success criteria, validation reasoning, and remediation context.
State the boundary
Claims should distinguish reachable testing from internal inspection and inferred relationships from verified chains.
Show the method, not just the claim.
Oxyne publishes technical notes and reports about agentic attack surfaces and judge-scored validation.
See Oxyne on your own systems.
Book a 30-minute walkthrough — we'll scope a real assessment for your AI and web surfaces.