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LoadingAI RISK & GOVERNANCE
Govern AI with frameworks that fit
We build custom risk frameworks and controls aligned to the NIST AI Risk Management Framework, shaped around how your organization actually uses AI.
Govern · Map · Measure · Manage
Every organization uses AI differently, so a copied policy rarely survives contact with reality. We start from the NIST AI Risk Management Framework and build controls around your real systems, data, and obligations, the way a model touches patient records or moves money, not a generic checklist.
This work matters most for healthcare and other governed entities, where the cost of getting it wrong is measured in regulatory exposure and trust. We map your AI use against the standards that apply to you, identify where the genuine risk lives, and put governance in place that holds up to scrutiny while still letting your teams move. We reference HIPAA, HITRUST, SOC 2, and PCI DSS where they apply, and we are clear about what is alignment versus formal certification.
Outcomes
- Governance grounded in the NIST AI RMF
- Controls that match your actual AI usage
- Clear risk visibility across models and data
- Defensible posture for healthcare and governed entities
Aligned with
NIST AI RMFHIPAAHITRUSTSOC 2PCI DSS
How we govern AI risk
AI RMF alignment
Custom risk frameworks
AI system risk assessment
Healthcare and governed-entity controls
Standards mapping
AI red teaming and adversarial testing
Service FAQ
What framework do you base AI governance on?
We structure governance on the NIST AI Risk Management Framework and its four functions of govern, map, measure, and manage, so your program rests on a recognized standard rather than ad hoc rules. We then build controls around your real systems, data, and obligations rather than copying a generic policy. We are clear about what is alignment versus formal certification.
Why not just adopt a standard AI policy template?
A copied policy rarely survives contact with reality, because two AI deployments rarely carry the same risk. We build controls around how your organization actually uses AI, the way a model touches patient records or moves money, not a generic checklist. That protects what makes your work different.
Do you handle AI governance for healthcare and regulated work?
Yes. This work matters most for healthcare and other governed entities, where the cost of getting it wrong is measured in regulatory exposure and trust. We design safeguards for regulated work where AI touches protected health information and the room for error is small. We map your AI use to HIPAA, HITRUST, SOC 2, and PCI DSS where they apply.
Do you test our AI for vulnerabilities before attackers find them?
Yes. We run structured attacks against your AI to surface prompt injection, jailbreaks, and data leakage before attackers or auditors do, then feed every finding back into your controls. The NIST Generative AI Profile calls for this testing. We also examine your models, data flows, and integrations to rank where the genuine risk lives.
Govern your AI before it governs you
Tell us how your organization uses AI and we will build the risk framework that keeps it safe, accountable, and ready for the standards you answer to.