AI governance is the system of policies, controls, and accountability that ensures AI systems operate safely, ethically, and in compliance. In production that means one place to set policy, enforce it at the moment AI acts, and prove afterward what happened. Reign delivers this as a runtime control and assurance layer.
REIGN · AI GOVERNANCE PLATFORM
Govern your enterprise AI at runtime
Reign authorizes every AI and agent action at runtime, records tamper evident evidence, and maps it to the frameworks your regulators use.
ProofSOC 2 Type II since 2018·21 years of regulated infrastructure·Linux Foundation member participating in FINOS and the Agentic AI Foundation
THE PROBLEM
Static AI policies and one-time reviews do not survive an audit
Agents act faster than governance committees can meet. A policy that was approved in a document, and a model that was reviewed once before deployment, say nothing about what your AI did this morning.
Reviewed once
A point-in-time approval that ages the moment the model, the prompt, or the tool chain changes.
Enforced on every action
A runtime control point that applies policy each time AI acts, and records the evidence as it happens.
HOW REIGN WORKS
How Reign governs AI in production
Authorize at runtime. Every AI and agent action is cleared against policy before it executes.
Enforce policy on every action. High risk actions escalate to a human for sign off; the rest proceed under continuous control.
Produce evidence by construction. A tamper evident record of every decision, mapped to the frameworks your regulators use.
Every model call and every agent action passes through a control point you own, where policy is applied at the moment of action and the full context is captured as evidence. The result is a continuous, regulator-ready record of AI behavior across the organization, from the first prompt to the production action to the audit.
Crucially, Reign governs outcomes, not just actions. It is not enough to check that an agent was allowed to call a tool. The outcome has to align with the business objective, the policy intent, and the risk tolerance behind it. That is the difference between AI you supervise nervously and AI you can depend on.
FRAMEWORK COVERAGE
Assurance packs regulators recognize, produced continuously.
EU AI ActSR 26-2OSFI E-23DORAISO 42001NIST AI RMF
See Reign regulatory alignment for the full framework map.
Built on open foundations
Member and contributor in the open standards behind governed AI. The Linux Foundation, FINOS, and the Agentic AI Foundation.
WHAT YOU GET
What you get with Reign
Human in the loop on high risk actions. High risk actions escalate to a person for sign off before they execute.
Deployed in your trust boundary. The control point and the data stay under your ownership, in your environment.
Evidence auditors accept in minutes. Audit-grade evidence produced continuously, not assembled as a reporting project.
What is an AI governance platform?
An AI governance platform is the system of record and control for AI inside an organization. It gives security, risk, and compliance leaders one place to set policy, enforce it at the moment AI acts, and prove afterward what happened. A capable platform covers four jobs:
Visibility. A live inventory of the models, agents, and tools in use, including the ones that appear without anyone filing a ticket.
Control. Policy that is enforced at the point of action, not described in a document and hoped for.
Evidence. A tamper-evident record of what ran, what it was allowed to do, and what it actually did, structured for an auditor.
Assurance. Continuous validation that AI behavior still matches the business objective, the policy intent, and the organization's risk tolerance.
Governance frameworks tell you what good looks like. An AI governance platform is what makes it real in production.
What to look for in an enterprise AI governance platform
Buyers evaluating platforms for a regulated environment should weigh five things:
Runtime enforcement, not just dashboards. The control point has to be able to stop or shape an action as it happens. If it can be bypassed, it is decoration.
Model and tool agnostic. Run any model from any provider, and swap one out under pressure without losing the workflow or the audit trail. Portability should be designed in.
Evidence by construction. The audit trail should be a byproduct of how the platform runs, captured as work happens, not a reporting project you launch when the regulator calls.
Deploys inside your trust boundary. In banking and life sciences, the data and the control point should stay under your ownership. Sovereignty is a requirement, not a feature.
Speaks your regulators' language. Evidence should map to the frameworks your examiners already reference, so the proof travels without translation.
Reign was built to meet all five.
AI governance platform, governance tools, and frameworks
These terms get used interchangeably, so it helps to separate them. AI governance frameworks are the standards and obligations that define expectations. AI governance tools tend to solve one slice, model documentation, bias testing, or cost visibility. An AI governance platform is the layer that unifies policy, runtime control, and evidence across every model and agent, and connects to the rest of your stack. Reign is a platform, designed to be the durable control point the other pieces plug into. For a side-by-side view, see our AI governance platforms comparison.
Built for regulated industries
Reign is built for the institutions where AI failure is not an option: banks, capital markets, insurers, and life sciences companies operating under real audit exposure. The evidence Reign produces is structured to align with the governance frameworks these institutions and their regulators already use. See Reign regulatory alignment for the detail, and Reign deployment options for how it runs inside your trust boundary.
FAQ
Frequently asked questions
BRIEFING
Book a 30 minute briefing
Talk to the Reign team.
A working session on governing your enterprise AI at runtime, with your risk and engineering teams.
Govern AI you can depend on
See how Reign governs every model and agent in your environment, with audit-grade evidence and no lock-in.