AI Security & Governance

Private by design. Governed by default.

Private AI environments, data-readiness audits, DLP guardrails, access control, and compliance-aware rollout — so you get the value of AI without putting sensitive data at risk.

The risk

Public AI tools were not built for your compliance obligations.

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Data leakage

Sensitive data pasted into public tools can leave your control entirely.

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Access gaps

Unmanaged plugins and accounts create invisible identity risk.

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Compliance exposure

HIPAA, SOX, and FINRA obligations don't pause for AI experiments.

Security-first

The controls enterprise buyers expect.

  • Private AI instances — your data never trains public models
  • Data-readiness audits before any production workflow
  • DLP guardrails and automatic data safeguards
  • Identity, access, and least-privilege design
  • Compliance-aware rollout for HIPAA, SOX, and FINRA
  • Ongoing monitoring and audit trails
🛡️

Identity · data boundaries · audit trails.

Framework alignment

We plan AI around the standards your auditors already know.

Our governance approach draws on widely recognized frameworks so your AI program is defensible from the first review.

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NIST AI RMF

Govern, Map, Measure, and Manage functions guide AI risk decisions.

SOC 2 principles

Security and operational controls inform monitoring and change management.

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ISO 27001 principles

Information-security management shapes policy, asset, and vendor handling.

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HIPAA / BAA

Healthcare workflows planned around PHI handling and BAA requirements.

Get started

Get AI value without the data risk.

Start with a data-readiness audit and a private, governed environment built for your compliance obligations.

30 minutes · no obligation · DFW-based team · 800-985-1365