KYA: A Framework-Agnostic Trust Layer for Autonomous Systems with Verifiable Provenance and Hierarchical Policy Composition

KYA (Know Your Agents) is an open-source trust and governance framework for autonomous systems that enables verifiable authorization, policy compliance, and post-hoc auditability across multi-agent environments. The system demonstrates strong security performance, detecting 89% of adversarial attacks while maintaining sub-millisecond latency and supporting 15+ agent frameworks.

KYA addresses a critical infrastructure gap in autonomous systems governance. As AI agents proliferate across enterprise and decentralized environments, the ability to establish trust boundaries, enforce policies, and prove compliance retroactively becomes essential. This framework tackles three distinct but interconnected problems: determining whether actions were authorized, verifying policy conformance, and creating auditable evidence trails for post-incident investigation.

The timing reflects broader industry maturation around AI safety and governance. Early autonomous systems focused on capability and speed; production deployments now demand accountability mechanisms. KYA's composition algebra—which only tightens policies rather than loosening them—mirrors lessons learned from access control systems in traditional infrastructure. The hierarchical, multi-tenant design acknowledges that modern organizations run heterogeneous agent fleets across different risk profiles and operational contexts.

For developers and enterprises, KYA reduces friction in deploying autonomous systems to regulated environments. The 89% adversarial detection rate against established attack frameworks (PyRIT, Garak) provides meaningful security assurance. Performance benchmarks—sub-millisecond scoring and 1,800 ops/sec throughput—indicate production readiness without operational bottlenecks. The framework's agnosticism toward underlying agent implementations (15+ supported frameworks) maximizes adoption potential.

The open-source Apache 2.0 release via PyPI signals confidence in the design and invites community scrutiny. Key questions remain: how does KYA perform against novel attack vectors in multi-step reasoning chains, and can its trust models adapt as agent capabilities evolve? The framework represents infrastructure-level thinking about autonomous systems governance rather than point solutions.

• →KYA provides framework-agnostic trust, governance, and auditability for multi-agent autonomous systems across 15+ supported frameworks.
• →Detects 89% of adversarial attacks while maintaining sub-millisecond latency and 1,800 ops/sec throughput at production scale.
• →Hierarchical policy composition algebra ensures policies can only be tightened (not loosened), preventing authorization drift.
• →Unified trust scoring (KYP) treats human users, AI agents, and service accounts through equivalent schemas for consistent governance.
• →Open-source Apache 2.0 release on PyPI reflects mature design suitable for regulated enterprise and decentralized autonomous deployments.