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AI Governance
AI governance is the practice of making model use accountable: knowing which systems use AI, what data reaches them, who approved that, and what evidence exists. The NIST AI Risk Management Framework is the reference most regulated teams work from. These articles cover putting it into practice.
7 articles · Cybersecurity & Compliance
Cybersecurity Audit Readiness for AI-Driven Workflows
AI workflows are the new audit weak point. Generic chatbots can't answer what auditors actually ask: who accessed this PHI, who triggered this action, where's the evidence. Here is the audit-readiness architecture we engineer for SOC 2, HIPAA, and CMMC.
11 min
The Secure AI Development Lifecycle for Regulated Industries
AI builds break compliance audits when security is treated as a wrapper around the model. Here is the SDLC we run inside HIPAA, CMMC, and SOC 2 environments — controls baked into every phase from data ingestion to inference logging.
12 min
Stop Pasting CUI Into ChatGPT: A Defense Contractor's Guide to Secure, Compliant AI
Pasting CUI into a public LLM directly conflicts with DFARS 252.204-7012, NIST SP 800-171, and federal control expectations. Here is the federal-first 30-day path to a local, audit-ready AI stack — for US Federal and DIB teams.
10 min
The CMMC 2.0 AI Paradox: How Innovation Could Kill Your Certification (and How to Fix It)
AI thrives on data. CMMC exists to protect it. The contractors who reconcile the two with local LLMs and FIPS-validated boundaries will own the next decade of DoD pipeline. Federal-first. SDVOSB Pending — UEI: YY2DR3KSENH7.
10 min
Shadow AI Is Quietly Killing Your Security: How to Audit and Reclaim Your Data Privacy
Nearly half of GenAI users access models through personal accounts you cannot monitor. Here is the 3-step Shadow AI audit we run for federal, DIB, healthcare, and financial services teams — and the secure-by-design system that replaces it. SDVOSB Pending.
9 min
The NIST AI RMF Awareness Gap: Why Federal, DIB, Healthcare, and Financial Teams Are Already Behind on Compliance
Across U.S. Federal agencies, the DIB, healthcare, and financial services, AI adoption is moving faster than governance. If you are deploying AI into sensitive workflows without a formal NIST AI RMF, you are already behind. Federal-first — SDVOSB Pending.
10 min
Why "Plug-and-Play" AI Is a Liability: Using the NIST Framework to Build Secure Agents
Every "GPT wrapper" promising 3-click automation is also a 3-click data leak. Here is how the NIST AI RMF — Govern, Map, Measure, Manage — turns brittle templates into hardened, audit-ready agents for federal, DIB, healthcare, and financial teams.
11 min
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Cybersecurity & Compliance