1
AI Data Governance
Define what data can and cannot be used with AI toolsPrevent PHI, financial, and internal data from being exposedEstablish clear usage policies across your organization
Practical AI Implementation
Useful AI workflows without unnecessary risk.
Identify real opportunities, reduce manual work, and implement secure AI solutions that fit your people, tools, and business goals.
Secure AI governance
Protect data, manage risk, and control AI usage.
We help businesses create practical guardrails for AI tools, vendors, users, and sensitive information.
2
Vendor & Platform Risk Management
Evaluate how AI providers store, process, and retain your dataWork directly with vendors to validate security standardsAlign with HIPAA, NIST, and internal policies where required
3
Controlled AI Access
Configure user access and permissionsRestrict uploads and interactions with sensitive systemsImplement guardrails around AI usage
4
Multi-Platform AI Strategy
Support ChatGPT, Microsoft Copilot, Claude, and other toolsRecommend platforms based on security and business needsEnsure consistent governance across AI tools
Implementation approach
Start small, measure value, then expand
The goal is not to add AI everywhere. The goal is to find specific processes where AI can help and deploy them responsibly.
Document use casesPilot with a small groupReview security impactCreate staff guidance
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Ready For Technology That Works The Way It Should?
Talk with a Raleigh-based team about your systems, security, compliance needs, and next steps.