AI Governance
Your code talks to AI all day. Now you see every word.
Every model your systems call is a door your data can walk out of. AI Warden watches each one in real time, so sensitive data stays in, risky calls surface, and you can prove exactly what happened.
Agent Intelligence
The other half of trustworthy logging
Code Logging makes your code's logs trustworthy. AI Governance does the same for the AI your code calls: seen, governed, and on the record.
Keep sensitive data in
PII, credentials, and secrets are caught before they ever leave in a prompt.
See every AI interaction
Every call your systems make to a model, in one place you control.
Enforce your policy in real time
Your rules applied to live activity as calls happen, not after the fact.
Policy that understands more than keywords
You describe what's acceptable in plain language, and AI Warden applies it to live activity, catching the subtle risks, not just the obvious patterns.
Every decision is recorded, so you always have an answer to “what did our AI do, and why?”
Built for the federal AI mandate
M-26-14 asks agencies to govern the AI they use and show they can see and control it. AI Warden is how you demonstrate that, with a federal rule-set ready out of the box.
- Demonstrable visibility and control over AI use
- Sensitive-data protection on every AI interaction
- A complete, audit-ready record of AI activity
- A federal rule-set aligned to the mandate, ready to go
Governed AI vs leaving it to chance
Calling a model API captures nothing, and your existing logs record that a call happened, not what went through it. Neither can see, decide, or prove what your AI did. AI Warden does all three on every call.
Before you route anything through us
We are asking to sit in the path of your production AI traffic. You should not have to file a security questionnaire to find out what that means.
What happens to our provider keys?
LogRite holds your provider credential envelope-encrypted, storing only the last four characters for identification. Your developers get a relay key instead, so the real key never reaches an application, and nobody can quietly route around the rules by using it directly.
Do we have to send you our logs?
No. Keep your evidence in LogRite if that is easiest, or send it to the Splunk or Datadog you already run. Rule sets also export as files you can version in your own repository, so your rules are never trapped in our platform.
Which AI providers do you support?
OpenAI, Anthropic, and Groq today. LogRite sits in front of them as a drop-in relay, so adopting it is a change of base URL and key rather than a rewrite of how your services call models.
How do we roll this out without breaking production?
You start in observation mode. LogRite evaluates everything against your rules and shows you what it would have caught, while changing nothing. You review a week of real findings from your own systems, tune the rules that are too broad, and then decide framework by framework what starts enforcing.
See what your AI is really doing
Book a demo and watch AI Warden bring your AI usage into view, and keep it inside the lines.