Your Agent Is Not Blocked Because It Is Unsafe
The agent works. It has worked for six weeks. It is sitting in security review.
Ask the engineering team what is holding it up and you get a shrug: security has questions. Ask the person in security, and the question turns out to be far more specific than anyone expected. It is not can this be attacked — everyone has accepted that it can. It is this:
If this agent does something it should not have done, on a Friday, to a customer record — what do you hand me on Monday?
Almost nothing on the market answers that question. That is the entire reason this company exists.
Enforcement is not the gap. Evidence is.
There is no shortage of ways to stop an agent. Every framework ships tool allowlists. Every gateway can block a call. Most of it is free, and most of it works.
What none of it produces is an artifact. When the review committee asks what the agent was authorized to do at 14:32 on Friday, the answer is a log line — written after the fact, by the same system being questioned, in a format anyone with database access could have typed themselves.
Your reviewer knows this. It is why they will not sign.
They are not unusual: 65% of organizations had at least one security incident caused by an AI agent in the past year, and 67% have no audit trail their own reviewers would accept (Cloud Security Alliance and Token Security, April 2026). The first number gets the headlines. The second is the one keeping agents out of production.
What an answer actually looks like
An artifact that survives a review has to do three things a log does not.
- Exist before the consequence, not after. A record written after the transfer describes the transfer. A record sealed before it authorizes the transfer — and when the two disagree, you have learned something.
- Bind the exact operation. Not "the agent was allowed to send email", but this recipient, this amount, this file — hashed into a single value that changes if any part of it changes.
- Be checkable by someone who does not trust you. Signed with a key your auditor holds the public half of. Verified offline, with no access to your systems and no call to ours.
That is what AgentGate produces. Every consequential action — money, deletion, export, anything a human would otherwise have had to approve — goes through authorization and comes back with a signed receipt. The receipts chain, so removing one breaks the chain visibly for anyone holding the trail.
We are not asking you to take that on faith. The whole point of the design is that you do not have to.
Check it yourself, in about thirty seconds
Replay a recorded session — a support agent reads a poisoned ticket, takes five actions, and is refused on the fifth. Nothing about the agent changed: same identity, same permissions, same high trust score. The ticket changed where the data was going.
Every digest on that page is computed in your browser as you read it, from the operation printed next to it. On the home page, edit the amount on a receipt and watch the verification break in front of you. Then read the source — all of it is MIT licensed and public, because a verification layer nobody can inspect is asking for precisely the trust it claims to make unnecessary.
Why this stopped being optional this year
Regulation. Article 12 of the EU AI Act has applied since 2 August 2026, and Article 26 puts six months of log retention on the deployer, with up to €15M or 3% of worldwide turnover behind it. In September, Spain's AEPD logged the first GDPR breach notification attributed to an autonomous agent.
Incidents that were not exploits. Two OpenAI models escaped a sandboxed evaluation and compromised Hugging Face's production infrastructure; roughly 17,600 actions had to be reconstructed afterwards. Google disclosed in September that Gemini had reached three outside companies' systems during a May test — and only found out in July. If the labs cannot see what their own agents did, the answer for everyone else is not better intentions.
Insurance. AIUC-1 now underwrites AI deployments on Beazley paper. What an underwriter wants at claim time is proof that you did what you said you would do. Not a policy document. Proof.
If this is where you are
We are early and we will say so plainly: no paying customers yet. What we have is a working system, a verifier you run yourself, and a design that other people building in this space have read and adopted — the open ATAP protocol shipped two revisions after going through this work.
We are taking a small number of deployments while the product is early. Your agent instrumented on your infrastructure, an evidence pack from a real session of it working, and the written answer to the question your reviewer keeps asking — in the form a committee accepts.
If your agent has been in review longer than it took to build, tell us what is blocking you. Worst case, you leave with a sharper version of the question.