Qlok, Inc. released QATI, a stateful pre-execution control layer that determines whether each consequential AI action is authorized at the moment it is about to execute.

Qlok, Inc. develops trust, security, and execution-control infrastructure for enterprise AI and quantum-resilient digital systems. Qlok’s current platform focus is QATI™, a pre-execution AI governance layer that validates AI-driven actions before they reach tools, APIs, infrastructure, data, or operational workflows. As AI systems move from answering questions to taking actions, enterprises need a control point that determines whether a proposed action should be allowed, denied, delayed, restricted, escalated, or routed to fallback before execution. QATI is designed to provide that control layer. QATI evaluates policy, authorization, context, risk, execution intent, system state, tool access, required approvals, and auditability. The platform is model-agnostic and built for enterprise environments where AI agents, copilots, automation systems, and orchestration tools interact with real systems. Qlok’s mission is to make advanced AI operationally trustworthy by governing AI before AI acts.

Founded 2025