Most US companies with EU operations are going to fail their first EU AI Act audit — not because their AI is dangerous, but because they have no documentation proving it isn’t. The EU AI Act entered into force in August 2024. Prohibitions on unacceptable-risk AI apply from February 2025. High-risk obligations — the ones […]

Your cloud AI vendor says your data “stays in-region” — but when their model processes your prompt, generates a response, and logs that interaction, do you actually know where each of those events occurs, on whose infrastructure, and under whose legal jurisdiction? Most IT directors don’t. That’s not an accusation — it’s a gap the

Most banks deploying AI in 2026 are one examiner visit away from a serious conversation they are not prepared to have. The gap between what financial institutions are running and what regulators expect has widened faster than most compliance teams anticipated. Model risk management frameworks that were written for statistical credit models are now being

Most healthcare AI pilots fail compliance review not because the AI is dangerous, but because the IT team didn’t know what questions to ask before the vendor signed a BAA and data started flowing. HIPAA ai compliance in the context of AI tools is genuinely different from traditional SaaS compliance. The rules haven’t changed, but

Your regulators already know more about AI compliance than your legal team does — and they’re going to find out exactly where your deployment falls short before you do. That’s not a hypothetical. The OCC, FDA, FINRA, and state insurance commissioners have all issued guidance on AI use in the past eighteen months. HIPAA enforcement

Your developers are already using AI to generate production code, and your approval process has no idea what to do with it. Vibe coding — the practice of describing intent to an AI and accepting the generated output with minimal review — is not a future risk to plan for. It is happening in your

Your business teams are already building AI apps without you — the question is whether they’re doing it inside a guardrail system you designed or outside one you don’t know exists. The instinct for most IT directors is to lock everything down and route all enterprise AI app development through a central approval queue. That

Your team built something impressive in an afternoon, and IT just killed it in a meeting. That’s the story behind most vibe coding projects in the enterprise right now. A business analyst or a developer with AI tools spins up a working application — real logic, real UI, real data connections — in hours instead

The AI app that took down your customer portal last quarter wasn’t built by engineering — it was built by someone in sales operations who learned prompt engineering on YouTube and shipped it to 200 users without telling anyone. This is the business team AI app problem, and it’s not a future risk. It’s already

Most no-code tools are sold to founders but abandoned by IT — and that gap is exactly where enterprise deployments go sideways. The market for an app maker without code has matured fast. There are genuine workhorses in this category now, not just demos. But every tool has a ceiling, and in regulated environments, that