Ai Governance

10 articles on ai governance.

Glean Enterprise AI: Why Its $300M ARR Growth Is About More Than Search

Glean enterprise AI reached $300M ARR in 15 months. See what its permissions-first model reveals about adoption, risk, pricing, and rivals.

AI safety PR campaign claims followed Jacob Coxon’s Anthropic exit. Separate verified funding ties, media dynamics, and speculation.

AI agent management starts with measurable outcomes, not activity. Use this practical framework to deploy safer, more valuable agents.

AI agent management is a new operating skill. Learn why automation creates oversight work and how businesses can deploy agents safely at scale today.

Build an AI rollout strategy that earns trust, proves business value, redesigns workflows, and keeps human judgment at the center.

Sensitive AI workflows do not disappear with a warning. Learn how teams can use AI for real work while reducing privacy and security risk.

AI workflow discovery helps agents analyze business context, identify costly process gaps, and propose safer automations worth building first.

Chinese AI models can cut inference costs, but token prices are not the whole story. Evaluate privacy, licenses, hardware, and task-level results.

AI adoption in marketing teams needs more than tool access. Use pilots, role-based training, governance, and metrics to turn AI into ROI.

AI model security is becoming a core competitive issue as OpenAI, Hugging Face, Moonshot AI and Google DeepMind raise new stakes.