The Rite Aid case shows why a biometric match needs verification, limits, and evidence before anyone acts on it. The lesson reaches any system where an AI or biometric output can trigger action against a real person.

The SafeRent case shows why vendor scores need validation for the exact population and decision where they are used. The lesson reaches any consequential eligibility decision.

The FTC alleged that DoNotPay marketed its service as the world's first robot lawyer without evidence adequate to support human lawyer level claims. The final order required monetary relief, consumer notice, and restrictions on specified future claims.

The FTC alleged IntelliVision made unsubstantiated claims about facial recognition accuracy, bias, training-data scale, and anti-spoofing performance. The matter resolved through a final order with no admission and no monetary relief. The governance lesson: a fairness claim needs group-level evidence before it reaches a customer.

The FTC alleged unsupported claims about an AI powered weapons detection screening product used in schools and other high volume venues. The case resolved through a stipulated order. Evolv did not admit wrongdoing, and the governance lesson is clear: safety claims need evidence before customers rely on them.

Your board can probably name your top five financial risks without hesitating. Ask them to name every AI system your organization is running right now and see what happens. AI governance isn't a technology conversation. It's a leadership one, and most boards aren't having it yet.

Your security team has a policy. Your approved tools list exists. Right now, someone in your organization is probably pasting sensitive data into an AI tool nobody reviewed. Here's what shadow AI actually is and why it's already inside your organization.

Most organizations deploying AI right now are skipping the blueprint entirely and going straight to implementation. The NIST AI Risk Management Framework exists to fix that. Here's what it actually covers and why non-technical leaders need to understand it before their regulators do.

The European Union's AI Act is law. It has been since August 2024. If your organization uses AI to make decisions that affect EU customers, employees, applicants, patients, or anyone located in the EU, there is a very good chance it applies to you right now, whether you know it or not. Most US executives haven't figured that out yet, and the gap between what this regulation requires and what organizations have actually done about it is growing. The date that matters is August