How legal and compliance teams use AI, how to do it well, and what it means for your job. Written for people who review the contracts and manage the risk, not people who build models.
Developers built an open-source AI to replace their CEO as a joke. The real lesson: AI can do PM tasks, but not the judgment behind them.
Employees are disabling intrusive corporate AI and building their own tools instead. Here's what the data says actually works to manage shadow AI.
Employees are running long-lived AI agents from the CLI. Here is what persistent AI compute is and a practical framework IT can use to govern it.
From terminal coding agents to ngrok tunnels, here are the real shadow AI tools employees use to build software outside IT, and what it costs when it breaks.
Shadow AI is employees building software and agents without IT approval. Here's what the data says about how widespread it is and what it costs.
AI copilots let one developer do what used to take a team. Here is what the research actually shows and what it means for build vs buy.
Employees are running local LLMs and AI wearables outside IT's view. Here's what shadow AI actually costs and exposes, with real breach data.
Employees are shipping real apps with AI coding tools, often insecurely. Here's how IT governs shadow AI software without killing the speed.
Employees are bypassing API costs with free Claude proxies and rogue bots. Here's how to govern shadow AI without killing the speed that makes it valuable.