Governance is what stands between an autonomous agent and an expensive incident. As agents move from drafting text to taking actions — issuing refunds, editing records, calling APIs — the question stops being “can it do this?” and becomes “should it, and who approved it?”
These posts treat governance as a design requirement, not an afterthought. They cover scoping agent permissions to the least privilege a task needs, building audit trails that survive a compliance review, and the human-in-the-loop checkpoints that keep high-stakes actions reversible.
Topics include access control and permission models, audit logging and traceability, policy enforcement, regulatory and compliance considerations, and managing operational risk as agent autonomy grows. The argument running through them is that trust in an agent comes from constraints, not optimism — the systems that scale are the ones where every action an agent can take is bounded, logged, and accountable to a person who owns the outcome.