Defending from reserves only delays the pain. It doesn't fix the fundamentals. When reserves run low, the correction hits harder than it would've if they let it adjust early.

IBM's 2025 Cost of a Data Breach report found something worth sitting with. 13% of organizations reported breaches of AI models or applications. 97% of those reported lacking proper AI access controls. Most people read that and nod. "Yeah, we need better access controls." Then

An open-source AI agent with 135,000+ GitHub stars triggered the first major AI agent security incident of the year. Multiple critical vulnerabilities. Over 21,000 exposed instances. Employees had connected it to Slack and Google Workspace. The interesting part isn't the

Netskope's 2026 report: 47% of workplace generative AI usage happens through personal accounts. Prompts to AI apps grew sixfold in twelve months. From 3,000 to 18,000 per user per month. Your DLP tool is not stopping this. The reason is mechanical. DLP inspects traffic flowing

Here is a question I ask governance vendors when I meet them at conferences. When you log an event, what policy do you store it against? The current policy, or the policy that was in force at the exact moment of the event. Most answer "the current policy." That answer is the

When a vendor hands you an audit report, you have two choices. Trust the vendor. Or verify the report yourself. Every procurement team I've spoken with in the last year has moved firmly toward the second one. And most AI governance tools are not built for it. The test is

The AI governance audit most companies will actually fail first isn't a regulator visit. It's the cyber insurance renewal. Questionnaires in the last six months have quietly shifted. They used to ask "do you have an AI policy." Now they ask five things in sequence: → What AI

A CISO told me last quarter that the worst part of preparing for an audit isn't the audit itself. It's the 3 AM panic two weeks before, when somebody on your team admits they don't know which version of the AI policy was active when an incident happened in March. You can have

Your AI security tool is watching the wrong door. Most companies bought DLP, prompt filtering, output monitoring. All built for the world where employees paste sensitive data into ChatGPT. That world is already three years old. In 2026, employees aren't pasting. They're

The first AI governance audit your company will fail isn't from a regulator. It's the cyber insurance renewal questionnaire. Six months ago these forms asked "do you have an AI policy." Now they ask five things in sequence: What AI tools do your employees use. How is the

A founder asked me last week: "We're going into the EU. Do we need a separate compliance person for the AI Act?" The honest answer is no. You need a tool that maps your existing controls to the AI Act's specific requirements, then tells you which ones you actually cover and

Most B2B procurement conversations now include this question: "Can our auditor get evidence of your AI controls without us having to give them admin access?" If the answer is no, the deal slows down. If the answer involves a screenshot from your dashboard, the deal slows down

Counterintuitive thing about building an AI governance product: the more we built, the more obvious it became that we couldn't use AI inside the product itself. Here's why. The job of a governance platform is to produce evidence that holds up in front of a regulator. When the

Three questions worth asking once a quarter: 1. What am I doing because I want to? 2. What am I doing because I think I'm supposed to? 3. What would I stop doing tomorrow if nobody was watching?

"We have an AI policy." Six different things often hide behind that statement. Sales has been told to be careful with AI. Engineering has a different rule about Copilot. Legal has a separate policy about contract tools. Marketing has unofficial guidance about Jasper. HR is

Annual AI training doesn't work. Not because companies do it badly. Because human memory doesn't hold a policy that was reviewed once in January when the same employee uses ChatGPT 200 times in February. The retention research on compliance training is brutal. Six weeks after a

Two years ago, enterprise procurement asked vendors three questions about AI: "Do you use AI in your product?" "What data do you collect?" "Are you SOC 2 compliant?" Today the questions are different: "Show me your AI usage policy and prove your employees acknowledge it."

Three founders this month have asked me whether they should build AI governance internally or buy a tool. The framing is wrong. The question isn't build vs buy. The question is: how much of your engineering team's quarter do you want to spend on something that isn't your