Microsoft's Agent Factory and the governance gap in autonomous AI
Microsoft just released their Agent Factory framework, and it's forcing a rethink of how we approach AI governance. These aren't the AI tools…
Questions to Ask When Everyone Else Is Guessing
Every six months, the rules change. Old playbooks don't work anymore. The only way through is to ask better questions. Here are nine questions that matter for anyone building with AI
When founders prototype with AI, product counsel must prototype with law
OpenAI's GPT-5 made "vibe coding" the new normal. When business leaders go from concept to working prototype in minutes, legal guidance needs to happen at prototype speed, not policy-document speed.
The Perplexity problem: when AI assistants challenge web infrastructure assumptions
AI systems won't fit our old categories, and our legal frameworks haven't caught up yet.
How systematic privacy governance becomes competitive advantage for AI deployment
EDPB guidance demonstrates how structured privacy governance approaches for LLM systems create competitive advantages while ensuring regulatory compliance.
Building Real Moats for AI Startups
Organizations can't engineer moats from a business plan. Defensibility emerges from solving real problems—discovering unique workflows, building proprietary datasets, and integrating so deeply into operations that switching becomes prohibitively expensive.
Memory architectures that let AI agents learn from experience
The architectural shift to persistent, structured memory is happening now. Teams building these systems need to classify the memory types their agents require and define the associated governance policies upfront.
Documenting AI risk with NIST's four functions
The NIST AI RMF shifts AI risk management from abstract principles to a structured, operational process...When AI is ubiquitous, trust matters. The RMF provides a tool for building that trust through continuous improvement.