Runtime Governance and Trust for Every Agent Action.

OpenBox AI is an AI Trust Platform designed to make autonomous agent behavior governable at enterprise scale. The core problem it addresses is the absence of verifiable oversight across agent actions: without real-time visibility, consistent policy enforcement, and cryptographic proof of decisions, organizations cannot safely deploy agents into production systems. OpenBox positions itself as the layer that transforms agentic liability into managed, auditable execution.

The platform spans the full agent lifecycle under a framework it calls Shift-Everywhere governance, covering development-time scanning for sensitive data and secrets in AI-generated code, runtime enforcement of identity and authorization, and continuous monitoring for drift, cost, and latency. At runtime, OpenBox assigns decentralized identities to agents, applies OPA-based policy guardrails, and emits tamper-proof Proof Certificates that record how each decision was reached. It integrates via a single SDK into existing workflow engines including Temporal, Mastra, LangGraph, and LangChain without requiring architectural changes.

OpenBox's distinguishing architecture is its Zero Blindspot Trust layer, which combines cryptographic verifiability, protocol-aware runtime governance, and a modular design so teams can adopt components incrementally. The trust lifecycle runs through five continuous phases: assess, authorize, monitor, verify, and adapt, with human-in-the-loop approval triggers and policy suggestions derived from observed patterns. The platform targets engineering-heavy enterprises that need to prove AI compliance to regulators and stakeholders and want to ship agents faster without surrendering governance over what those agents do once deployed.