Everything Shift Harness publishes on Security in the Era of AI lives under AI governance. Start here for AI acceptable use policy that CTOs and delivery teams can act on.
AI Enablement
Green CI and an agent's "done" summary answer one question: did the change pass the checks it ran against? Behavioral evals ask the other one, whether the agent stayed inside its grant, on the right base.
AI transformation
A rising touchless-invoice rate can still leave the CFO unable to say which invoices a person should have seen. The rules that replaced the human need an owner, change control and a boundary test.
AI Reliability
A support assistant starts routing customers to queues that no longer exist, and nobody touched its prompt. Every source it reads has an owner. The context it assembles has none.
AI Enablement
The same coding agent gives one team clean merges and another a pile of reopened tickets. The difference is rarely the model. It's the six parts around it, checked one ticket at a time.
AI Enablement
Five questions about last week will tell you more than your adoption dashboard managed all quarter. Ten failures that only show up at agent volume, each with the check that catches it.
AI governance
Every date in the Act reads like a filing deadline. Read it instead as a capability that has to be live inside your operating model by then, owned by a named role. Same calendar, different seat.
AI operating model
An agent shipped clean code that quietly broke a convention living in a wiki page it never opened. The instruction file is where a team's standards reach the code, or quietly fail to.
AI Security
Agent security debates fixate on attacks reaching the agent. The question that comes first: what is the agent allowed to do, and through whose identity? That standing authority is owned by no one and revisited approximately never.
AI governance
You funded the AI rollout. Per-developer output climbed, the demos got faster, and then the delivery numbers refused to move. The slowdown most teams blame on governance is usually the wrong governance, or its absence. Here is the version of the argument that holds up.
AI operating model
The cut was supposed to prove AI was working. The quiet rehiring is the proof that something else was. AI takes the task; it does not inherit the judgment, ownership, and review standard the seat also held.
AI Security
Connecting an MCP server is not enabling a feature. It is taking on a code dependency that holds execution and data rights nobody reviewed. You already govern packages and APIs as a supply chain. Your MCP fleet is the same risk under a new name.
AI Security
For two years teams filed prompt injection under "someone else's problem." That filing expired. The moment an agent reads content it did not author, every author of that content can rewrite its instructions.