Texas
AI governance for Texas organizations, built to national standards
CyberAI RedCell designs AI governance programs for organizations across the United States. For Texas enterprises, healthcare systems, utilities, and public-sector bodies, we bring that practice close to home.
Texas organizations are adopting AI at enterprise scale across energy, healthcare, financial services, and state and local government — while navigating a shifting mix of federal expectations, sector regulation, and emerging state AI policy. Governance is what turns that adoption from accumulating risk into a managed portfolio.
Our governance work is practical: AI system inventories, intake and risk-review processes, policies people can follow, and operating models aligned to NIST AI RMF and ISO/IEC 42001 that reuse the compliance evidence you already produce. We design for the organization you have, not the org chart of a governance textbook.
Engagements range from focused readiness assessments to full governance operating-model design, with executive briefings that bring leadership and boards along — because AI governance that lives only in the risk function does not survive contact with the product roadmap.
Relevant services
Where to start
AI and Cyber Advisory
AI governance operating models, secure adoption roadmaps, and executive advisory.
Cyber, GRC & Audit
ISO 42001 readiness and unified control mapping across frameworks.
Training
ISO 42001 and NIST AI RMF workshops for GRC and governance teams.
Common questions
Asked and answered
No. CyberAI RedCell serves enterprise and public-sector clients across the United States, delivering remotely and on-site. Our Dallas–Fort Worth base is a convenience for Texas organizations, not a boundary on where we work.
Primarily NIST AI RMF and ISO/IEC 42001, informed by the OWASP GenAI Security Project and sector obligations such as HIPAA or model risk management guidance. We build one control map that serves all of them.
A readiness assessment typically runs a few weeks; a full governance operating model is usually a quarter-scale effort, sequenced so early controls land while the model is still being designed.
Email info@cyai.io
Confidential, direct, and answered by a practitioner — wherever you are.