Trust & PolicyAvailable

Governance and audit-ready evidence for AI agents.

As teams put AI agents to work in regulated environments, RadMah Sentinel governs what those agents are allowed to do and produces a tamper-evident, audit-ready record of every action.

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Regulated enterprisesSecurity teamsCompliance teamsAI platform teamsAgent-framework companiesDevelopers shipping AI
The problem

The concrete issues these teams face

01

Agents act, then what?

When an AI agent takes an action, teams need a defensible answer to what it did, when and on what basis.

02

Evidence is scattered

AI outputs, policy decisions and reviews are spread across tools and hard to verify after the fact.

03

Prompts aren't governance

"We use prompts and log to a SIEM" does not survive a serious audit of autonomous behaviour.

The ITLOX answer

How ITLOX solves trust & policy

  • Govern what AI agents are allowed to do, with human review where it matters.
  • Produce a tamper-evident, audit-ready record of every agent action.
  • Give security, compliance and platform teams reviewable evidence.
  • Integrate with modern agent frameworks.

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RadMah Sentinel

A runtime control and evidence layer for AI agents in regulated environments: govern what agents are allowed to do and produce an audit-ready record of every action.

Use cases

What teams build with it

01

Regulated AI deployments

Put AI agents to work in healthcare, finance or government with governance and evidence in place.

02

Oversight & review

Route consequential agent actions for human review before they take effect.

03

Audit & assurance

Produce the reviewable record auditors and compliance teams ask for.

04

Platform integration

Add governance and evidence to an existing AI-agent platform.

How it works

A controlled, evidence-led flow

01

Govern actions

Define what agents may do; consequential actions can be routed to a human.

02

Record everything

Each decision and action is captured in a tamper-evident, audit-ready record.

03

Review & prove

Teams review the record to oversee, audit and improve autonomous behaviour.

Deployment & evaluation

  • Integrates with modern agent frameworks
  • Built for regulated environments
  • Controlled evaluation available
  • Available today — talk to ITLOX to evaluate

Evidence & proof

  • Tamper-evident record of every action
  • Human-review gates
  • Reviewable, audit-ready evidence
  • Built so regulated deployments can support audit and oversight

Next step

Bring one AI-agent workflow you need to govern and prove. We'll map the controls, the review points and the evidence path.