AI security, compliance, and governance.

What we do

Shadow AI detection.

We audit your environment for unsanctioned AI usage. Browser-based tools, personal accounts on work devices, SaaS applications that have quietly added AI features your team is using without anyone approving it. You get a clear picture of what's being used, by whom, what data is going into it, and where the exposure is. After the audit, we help you either block risky tools or replace them with approved alternatives your team will actually adopt. Blocking without replacing doesn't work. People find workarounds.

Acceptable use policies.

Clear, enforceable policies your team can actually follow. Which tools are approved, which data can go into them, what review is required before acting on AI output, and what happens when someone goes outside the lines. We write policies that are specific enough to be actionable. Vague policies get ignored. Specific ones get followed.

Data loss prevention for AI.

Technical controls that prevent sensitive information from reaching AI models. Data masking and redaction before it enters a prompt, content filtering tuned to your data, and DLP rules configured specifically for how AI usage works. Standard email and file sharing DLP rules don't catch AI-specific patterns. We configure controls that do.

Private and secure AI deployments.

When your data requires maximum protection, we deploy AI in private cloud environments where your information never leaves your control and is never used for model training. Zero data retention. This is the right approach for businesses handling protected health information, financial client data, or anything where sending data to a public model doesn't meet your risk tolerance. We right-size the deployment so you pay for the capacity you actually need.