Practical insights on AI governance, federal compliance, and responsible AI adoption — written for the organizations that cannot afford to get it wrong.
AI is no longer a technology decision — it's a governance decision. And in 2026, organizations that don't have senior AI leadership in place are already behind. Here's why the Fractional AI Officer model is the most practical solution available.
Read ArticleAs AI systems proliferate across federal environments, cybersecurity leaders face a new set of governance questions that traditional security frameworks weren't designed to answer. These seven questions will help you assess your organization's AI risk posture.
The AI governance advisory market is crowded with consultants who understand AI but not governance, and governance experts who don't understand AI. Here's how to find the right advisor for your organization.
Many organizations conflate AI governance with AI compliance — but they are distinct disciplines. Understanding the difference is critical to building a program that is both defensible and sustainable.
The Fractional AI Officer model is emerging as the most practical solution for organizations that need senior AI governance leadership but aren't ready — or able — to hire a full-time Chief AI Officer. Here's a clear explanation of what it is, how it works, and who it's for.
OMB's AI policy framework establishes clear expectations for federal agencies — from designating a Chief AI Officer to maintaining an AI use case inventory. Here's what your agency needs to know and do now.
The AI Auditing and Implementation Risk (AAIR™) credential is emerging as the standard for AI governance professionals. Here's why it matters, how it complements existing cybersecurity certifications, and what it signals to the organizations that hire you.
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