As autonomous agents move into production, Reign gives you runtime authorization, human sign off on high risk actions, and an audit trail for every decision.
Agents chain actions and call tools. A pre-deployment review cannot see what they will do at 3am. The controls built for the model era, one-time reviews, static policies, after-the-fact log analysis, assume a human is in the loop for every consequential step. Autonomous agents remove that assumption, so the control point has to move to runtime.
Every agent action is cleared against policy before it executes. High risk calls escalate to a person for sign off. The agent keeps its speed on the actions policy allows, and a human keeps authority over the ones that matter.
Reign records a tamper evident record of every decision with reason codes, regulator ready. Not just what the agent did, but what it was allowed to do, what was blocked, what was escalated, and why. An auditor can reconstruct any decision without a forensics project.
Reign runs inside your trust boundary, across banking, capital markets and life sciences. The control point and the evidence stay under your ownership. See Reign deployment options for the topologies.
Built on open foundations
Member and contributor in the open standards behind governed AI. The Linux Foundation, FINOS, and the Agentic AI Foundation.



A working session on governing your AI agents at runtime, with your risk and engineering teams.
Runtime authorization, human sign off on high risk actions, and an audit trail for every decision.