AI Governance Platform for IT Teams and MSPs
See it. Govern it. Prove it. ShadowLock gives IT and security teams the visibility, controls, and audit trail to run a real AI governance program, not a policy document nobody enforces.
A policy document is not a governance program.If you can't see it, you can't enforce it. If you can't prove it, you can't pass an audit.
Every IT and security leader has the same story: leadership asks "do we have an AI policy?" The answer is yes, on paper. The follow-up, "how do you know it's being followed?", is where most organizations have no answer.
ShadowLock turns AI governance from a document into a working program. Set policies once, enforce them across every endpoint, and produce audit-ready reports on demand.
What real AI governance looks like
Visibility
Know which AI tools are in use, by whom, on what data.
Policy enforcement
Block, allow, or audit any tool by org, user, or data type.
Auditability
Every interaction logged with the evidence auditors expect.
User education
Customizable block pages explain why and point to alternatives.
AI governance FAQ
What is an AI governance platform?
An AI governance platform is software that gives IT and security teams the ability to see, control, and audit how AI tools are used inside an organization. The best platforms cover three pillars: visibility into AI activity, enforcement of acceptable-use policies, and audit-grade logs for compliance.
Why do we need an AI governance platform if we already have an acceptable use policy?
A written policy without enforcement is just a hope. AI governance platforms turn the policy into reality: detecting when employees use unsanctioned AI tools, blocking sensitive data from being pasted, and producing an audit trail when something goes wrong. Without a platform, you have no way to know whether the policy is being followed.
How is AI governance different from traditional DLP?
Traditional DLP was built for the email and file-transfer era. It does not understand clipboard pastes into browser-based AI tools, does not know the AI tool catalogue, and produces alerts that lack AI-specific context. AI governance platforms are purpose-built: they know the tools, classify on paste, and report in language auditors understand.
Does ShadowLock support multi-tenant AI governance for MSPs?
Yes. ShadowLock's partner → organization → device hierarchy is built for MSPs from day one. Each client org has its own policies and dashboard while the MSP retains rollup visibility. Onboard a new client in minutes, not days.
What does an AI acceptable use policy look like?
A strong AI acceptable use policy defines: which tools are approved, what data can never be submitted to AI tools (PHI, customer PII, source code, credentials), what data can be submitted to approved tools only, how violations are handled, and where employees can request access to new tools. ShadowLock offers a free policy template; see our resources.
Run AI governance, not AI hope
Free 14-day trial. Policies live within an hour of agent install.