This is part of an early experiment with using Google NotebookLM to create extended content from articles and guides. Pretty impressive, is seems NotebookLM will be valuable.

Your offshore dev team just delivered flawless documentation and clean code—suspiciously fast. Meet the "botty shops": AI-powered consultancies masquerading as human developers. With Builder.ai's $1.5B collapse as a warning and regulations tightening, CTOs who can't spot these algorithmic imposters risk catastrophic technical debt and compliance nightmares.

A startup's jaw-dropping demo just secured your term sheet—but six months later, you discover it's vaporware built with ChatGPT and duct tape. As AI investment hits fever pitch, many investors need more technical depth to spot sophisticated fakes. Here's the diligence playbook that separates transformative AI from expensive theater.

Your strategy decks, internal wikis, and Slack threads aren't just company assets—they're AI training gold. While you sleep, your expertise might be teaching someone else's model for free. After Anthropic's landmark fair-use victory, the race to harvest professional knowledge is on. Is your intellectual property already being monetized without you?

After three decades in cybersecurity, I've learned that security disasters start with innocent misuse of exciting technologies. Right now, AI presents a unique challenge: it's easy, cheap, and viral. Unlike traditional shadow IT, AI tools learn from your data—creating systematic data leakage risks that most mid-enterprise organizations aren't prepared to handle. This guide shows you how to identify shadow AI usage, implement controls with existing tools, and turn potential security nightmares into productivity wins.

Security leaders must embrace agile transformation rather than resist it. Successful cybersecurity innovation focuses on three areas: security-as-a-service, scalable automation, and DevSecOps. Companies leading in these areas gain competitive advantage.