We turn AI governance from a liability into a competitive advantage — with frameworks built from real implementation, not theory. If your organization deploys AI in a regulated environment, we build the governance infrastructure that lets you move fast and stay defensible.
Founder & Managing Member
Rydan Advisory LLCMost governance consultants advise from the outside. Danielle Johnson built AI governance programs from the inside — designing processes, navigating stakeholder politics, writing the policies, and sitting in the rooms where real decisions about risk get made.
"I help organizations build AI governance programs that actually hold up under scrutiny. I have done it inside a company. Now I do it for them."
Danielle is a GRC professional with deep expertise in AI governance, cybersecurity frameworks, and federal compliance. She most recently built an AI Authorization to Operate (ATO) process grounded in NIST AI RMF and led compliance across SOC 2, UK Cyber Essentials, and ISO 27001 at a growth-stage technology company.
She also runs Rydan Advisory — a consulting practice focused on federal compliance frameworks including FISMA, CMMC, CJIS, IRS 1075, and NIST 800-53 — and is the creator of the AI Authorization Framework (AIAF), a proprietary eight-stage AI governance and ATO methodology.
We design and implement your complete AI governance infrastructure using the AIAF methodology — from AI governance committee standup to production deployment and continuous monitoring.
Continuous compliance management across CMMC, CJIS, IRS 1075, and FISMA — evidence management, gap remediation, audit preparation, and POA&M oversight.
A structured gap analysis against the AIAF framework — producing an ATO Readiness Score, prioritized remediation roadmap, and executive briefing. Often converts to a retainer engagement.
The AI Authorization Framework is a stage-gated AI governance and ATO methodology developed from direct operational experience. It synthesizes five industry frameworks — NIST AI RMF, EU AI Act, OWASP LLM Top 10, EdSafe SAFE, and federal ATO doctrine — into a single, executable process with named owners, defined outputs, and stage-gate conditions.
The result is not a policy document. It is an operational system that engineering, legal, product, and security teams can actually run together.
Request the AIAF Framework OverviewAI products serving teachers, schools, and districts face FERPA, COPPA, and an active regulatory environment. AIAF's EdSafe SAFE integration and student data scoping address the specific governance obligations of edtech AI.
Federal contractors and govtech organizations face overlapping obligations from CMMC, CJIS, IRS 1075, and FISMA. AIAF's ATO model is directly compatible with federal authorization frameworks.
Financial services, healthcare, and regulated enterprise sectors face AI-specific requirements from OCC, SEC, and state regulators. AIAF's documented authorization chain satisfies the governance evidence requirements emerging from sector regulatory guidance.
Practical perspectives on AI governance, federal compliance, and the regulatory landscape — written for the practitioners making real decisions in regulated environments.
Most AI governance programs fail before they start. Not because the frameworks are wrong, but because organizations treat governance as a documentation exercise rather than an operational system. Here is what that looks like in practice and how to build something that actually holds up.
Read articleThe NIST AI RMF tells you what to care about. It does not tell you what to do on Monday morning. A practitioner's guide to operationalizing the framework in a real organization.
Coming soonFederal ATO doctrine has governed security authorization for decades. Adapting it for commercial AI deployment is one of the most underused governance tools available to regulated organizations.
Coming soonMore insights on AI governance, federal compliance, and the AIAF framework — published when there is something worth saying.
Start with a 30-minute discovery call. We will assess your current AI governance posture, identify the highest-priority gaps, and determine whether a retainer engagement or readiness assessment is the right first step.
Or reach us directly at info@rydanadvisory.com