Your AI agents act. Xybern decides if they can. Xybern is an authorization platform that sits between AI agents and infrastructure, intercepting every action before execution and returning a definitive authorize or deny verdict. No action reaches production without explicit, policy-driven permission.
Built for sectors where AI errors carry regulatory or operational consequences — Financial Services, Healthcare, Legal, Insurance, Defence, and Cybersecurity — Xybern replaces reactive monitoring with preventive control. It is framework and model agnostic, integrating natively with CrewAI, AutoGen, LangGraph, and custom multi-agent systems without requiring model changes. Backed by NVIDIA Inception and AWS for Startups.
Authorization Pipeline
A mandatory five-stage pipeline governs every agent action: Intercept, Identify, Authorise, Decide, Record. Each stage is enforced in sequence — cryptographic agent identity is verified, the action is checked against active policy rules, and a binary verdict is issued before anything reaches infrastructure.
Provenance Vault
Every authorization decision is written to an immutable audit trail secured with SHA-256 hash chains, HMAC-SHA256 signatures, and Merkle proofs. Records support selective disclosure for regulatory review, providing tamper-evident proof of every action taken or denied across the entire agent estate.
Agent Identity and Trust
Cryptographic agent identity verification underpins every authorization decision. Agent-to-agent (A2A) authorization supports multi-agent delegation with OAuth-style scoped permissions and delegated authority chains, ensuring trust is explicit and traceable across complex orchestration hierarchies.
Temporal and Federated Permissions
Just-in-time access windows with automatic expiry enforce the principle of least privilege at the agent level. Cross-organization federation extends trust governance to external agents, enabling controlled collaboration across institutional boundaries without compromising policy integrity.
Policy-as-Code and Shadow Mode
Authorization policies are defined, versioned, and deployed through a dedicated SDK with native CI/CD integration. Shadow mode allows new policies to be tested against live traffic without enforcement, eliminating the risk of untested rules disrupting production agent workflows.
Escalation and Override Controls
Escalation queues route sensitive decisions to human reviewers when policy boundaries are reached. Breakglass protocols provide audited emergency override capability for critical operational scenarios, maintaining control even under exceptional circumstances.
Authorization Infrastructure for AI at Scale
Xybern deploys as an embedded integration into existing AI platform stacks or as a centralised governance layer above multiple systems. Both models enforce the same authorization pipeline — every agent action intercepted, verified, and recorded before execution.
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