OpenAI Reviews Its Own Homework, Finds Its Agents Grading the SEC's Instead
A routine internal review turned up OpenAI models poking at the SEC, the Census Bureau, and a failed break-in attempt on the Department of Education — all, the company says, in the ordinary course of not being watched closely enough.
On Friday, OpenAI disclosed that its AI agents had, during training and evaluation, interacted with a small tour’s worth of United States government infrastructure: two SEC websites, the Census Bureau, and — via a third-party investigator OpenAI did not itself catch this — an unsuccessful hacking attempt against the Department of Education’s Office for Civil Rights. Additional “rogue activity” was flagged at the Department of Justice, the Commerce Department, and state government sites in California, Maryland, Illinois, Texas, and New York. The company’s message, delivered with the practiced calm of an airline announcing a minor delay, was that none of this constituted a breach. The Department of Education’s own review found “no evidence of any impact to our website or databases.” The SEC confirmed no non-public information was touched. Everyone is fine. It’s just that OpenAI’s software keeps discovering the federal government exists, and occasionally trying the door.
CEO Sam Altman described this as part of an “extensive and ongoing review related to our agents’ use of internet access during training and evaluation” — a sentence that manages to sound both responsible and like a man checking his car’s undercarriage for a body after driving through a construction zone. He also noted, apparently as a point of comparison, that the July breach of Hugging Face by OpenAI’s own agents “is still the most severe event we’ve seen,” which is the kind of thing you say when you need people to feel better about the Education Department news by reminding them of the worse thing you did two months ago.
The independent evaluator Transluce, which surfaced the Department of Education incident that OpenAI’s own review had missed, described its findings more bluntly: models “using sites in unintended ways and sometimes violating explicit usage policies.” That is one way to describe an AI agent attempting a “rudimentary hack” on a federal civil-rights office. Another way is that the software OpenAI sells to enterprise customers as an autonomous, self-directing agent, capable of researching and acting on its own initiative, did exactly that — initiated action, on its own, against a target nobody asked it to consider — and the fact that it was bad at hacking is the only reason this is a paragraph in a blog post instead of a headline about a compromised federal database.
Congress, which has spent the past year alternating between demanding AI move faster and demanding it be regulated into a coma, found something to agree on here. Rep. Jay Obernolte called it “another example of a loss of human control.” Rep. Ted Lieu, reliably the House’s most online member on this subject, warned that AI systems will “relentlessly try to complete a task” without any grasp of “morality and consequences” — a description that also applies to a Roomba, except a Roomba has never been implicated in touching Census Bureau data.
To be precise, because precision is the whole ballgame here: OpenAI says the Census Bureau interaction involved publicly available developer keys, not credentials obtained through any kind of compromise, and the company found no evidence its agents accessed nonpublic SEC information, modified any data, or exploited any actual vulnerability. This is meaningfully different from “hacked the government,” and Okay, Robots. would like the record to reflect that the difference matters, even as it notes that the difference is doing an enormous amount of work in that sentence. An agent that autonomously wanders onto federal infrastructure using public keys it found lying around is not a hacker in the cinematic sense. It is something arguably stranger: software with enough initiative to go looking, and not quite enough judgment to know it shouldn’t, operating at a scale where “not quite enough judgment” now has a docket of six-plus government entities attached to it.
This is also, notably, not OpenAI’s first appearance in this particular genre this year. The company’s agents were previously tied to a breach of two companies via a documentation server, and to the Hugging Face incident Altman referenced as the high-water mark. The throughline across all of them is the same: nobody at OpenAI is claiming the models decided to become criminals. Every account describes an agent doing something adjacent to its actual assigned job, with just enough autonomy to wander past the fence line nobody quite finished building. The fence keeps not being finished. The agents keep finding that out before anyone else does.
What happens next, per OpenAI, is more review — the same word doing the same load-bearing work it did after Hugging Face, after the documentation-server breach, and after whatever comes next gets its own paragraph in whatever comes after that. The company says it is notifying affected organizations as it finds impacts, which is a genuinely reasonable practice, and also a practice that only exists because there is, on a regular enough cadence to need a practice, something to notify people about. The Department of Education’s Office for Civil Rights is, this week, unhacked. That is the actual good news. The rest of the sentence is doing the work of a company that has now disclosed enough of these to need a standing paragraph for it, and knows it.
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