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AI Security & Governance
The guardrails that keep regulated data from showing up in a public AI model.
Whether or not you've officially deployed AI, your employees are already using it. The question is whether your guardrails can keep PHI, PII, CUI, or client-confidential data from leaking into a prompt history you don't control. We deploy data loss prevention for AI tools, configure Purview for AI-aware classification, and write the incident-response plan for the day something slips through.
What’s included
The specifics.
- ✓DLP policies for ChatGPT, Gemini, Claude, Copilot and common AI browser extensions
- ✓Microsoft Purview data classification + sensitivity labels
- ✓Endpoint controls (managed browser, extension allowlists)
- ✓Conditional access for AI tools
- ✓AI-incident-response plan + tabletop exercise
- ✓Quarterly drift review
Who needs this
Any organization with a compliance regime — HIPAA, HITRUST, CMMC, SOC 2, GLBA, PCI. Also any professional-services firm where client confidentiality is the product.
FAQ
AI Security & Governance — common questions.
Can you actually block employees from using personal ChatGPT?+
On managed devices, yes — via managed-browser policies and DLP rules. On personal devices, you control it through policy and training. We help you decide how far to push technical blocks versus written policy.
What happens if a breach involves an AI tool?+
That's part of the incident-response plan we build. It includes the technical steps (revoke, audit, log-pull), the notification steps (clients, regulators), and the documentation for your compliance auditor.
Is this separate from our existing cybersecurity engagement?+
Yes and no. It layers on top of the security baseline. If you're already a Mako Cybersecurity client, AI governance is a scope-add, not a rebuild.
Questions about ai security & governance?
Twenty minutes, real conversation, no pressure.