Two weeks ago Anthropic announced Claude Mythos , an AI model so powerful at finding software vulnerabilities that releasing it publicly would be reckless. They restricted it to twelve trusted partners. A Discord group walked through the door in 24 hours. Here's what happened, and what nobody is saying about it.

Every AI vendor in 2026 has a slide that says they offer 'agent governance.' Very few of those slides mean the same thing. Here are the four questions that separate real governance from a dashboard.

Most leaders describe their AI adoption as 'experimenting.' It's the safe answer, but it's rarely the honest one. Here's a practical three-level check for where your business actually is.

Vendor marketing either understates the cost of building agents or overstates it by modeling a hypothetical enterprise. The real cost of a five-agent portfolio at mid-market scale sits somewhere in the middle, and the gap between the two is where most budgeting mistakes happen. Here's the honest version.

Lovable, the Swedish vibe-coding platform valued at $6.6 billion, spent 48 days sitting on a flaw that exposed thousands of users' source code, credentials, and chat histories. Their response made things worse. But the deeper question is who owns security when an AI platform builds your software; is the one every business leader needs to answer.

Microsoft 365 E7 is the biggest licensing change since E5 launched in 2015. Most coverage focuses on whether it's worth $39 more than E5. The more important question, for any business running on Microsoft, even the ones that never upgrade, is what this announcement signals about agent governance becoming table-stakes infrastructure.

Founders ask me every week which AI tools they should adopt. The vendor list is overwhelming and the temptation is to pilot everything, which reliably produces a dozen half-adopted tools and no wins. You probably need two tools. Not twenty.

Claude Skills and Managed Agents shipped with less fanfare than a model release, but together they've changed the PM job more than any tooling shift of the last decade. The artifact of product thinking used to be a PRD that engineering translated. Now it's often a skill file that executes directly.