The build-versus-buy question comes up in every technology investment cycle. For AI agent governance, the question is particularly fraught because the problem is novel enough that many organizations are uncertain what a good solution looks like – and because the temptation to build is strong when internal teams can see, Read more
Every meaningful technology market starts the same way: practitioners invent a solution to a real problem, vendors give it a dozen different names, and then an analyst firm publishes a report that hands the category a single, durable label. That moment just arrived for AI agent governance. In its November Read more
The hardest part of AI agent governance is not writing a policy document. It is building infrastructure that enforces the policy – at runtime, deterministically, on every action, without being bypassable – and producing a tamper-evident record while doing it. Most organizations trying to solve the AI governance problem discover Read more
