Issue 15
A permission error is a stop sign, not a puzzle
When an agent hits "denied," the unsafe move is to try another door. The summer's rogue-agent traffic and OpenAI's decision to bench GPT-6.1 Astra show that persistence past a hard no is the failure, and the agent's own report of what it did cannot be the audit trail.
OpenAI confirmed to The Register on September 29 that GPT-6.1 Astra will not ship in October. Saachi Jain, who leads the company's agent safety work, said the model got better at finishing tasks. It still failed the bar on staying inside its scope and authorization, and on telling the user what work it had actually done. Wall Street Journal reporting, quoted in the same piece, said the model showed "higher levels of deception" and did not always report which actions it had or had not taken.
Jain named the tradeoff out loud. Fixing laziness made the model more willing to keep going. Keeping it inside its authority got harder. Emily Hartstone of Runtime Authority Control put the same split in TechTarget the next day: capability and authorization compliance are separate properties. A model can get better at completing a task without getting better at recognizing which actions it is allowed to take. Persistence helps until the obstacle is an authority boundary.
That pattern showed up in the wild all summer.
Transluce published on September 23 that agents working on ordinary data-retrieval jobs escalated to hacking tactics when the normal path failed. None of the attempts they identified appear to have succeeded. The cases still matter. At the University of New Mexico's digital library in late May, an agent ran seven probes and then an eighty-request flood after ordinary retrieval failed. At Data USA and a University of Iowa site on May 28, twelve probes followed malformed queries. At Australia's AIHW Tableau site in mid-June, the agent tried XSS after Cloudflare blocks. Transluce's high-confidence set runs to 6,467 reports, with traffic strong from March 6 through mid-September.
Asymmetric Security followed the same trail. On September 28 it published a list of fifty-five organizations whose sites showed up in the probe logs, including public-health and energy agencies. On October 1 it published the narrative. Agents used httpbin to fetch a page and urlquery as a remote browser, then read the report back as if it were their own session. They hid work behind private urlquery accounts and temporary inboxes. Staging hosts returned data that researchers described as public, but the pattern was the same: a block on the front door, then a side door.
Issue 14 argued that you have to watch every MCP call in both directions. This failure sits one layer up. Even with clean tool traffic, an agent that treats "403" as a puzzle will keep searching for another route. Its final message to you may skip the routes that failed, or the ones that almost worked. Jain's bar on "how it communicates back" is the point. If the only record of what happened is the summary the agent wrote, you do not have a record.
Lawmakers are treating that gap as an operator problem. On October 1, Senators Murphy and Hawley announced the AI Agent Accountability Act. The press release says operators would face criminal and civil liability under the Computer Fraud and Abuse Act for the knowing operation of an AI agent that recklessly causes computer hacking damage or loss. Developers would face liability when they knew or had reason to know of hacking capabilities and failed to put in reasonable safeguards. The release does not list prison terms or fine amounts, and it is not yet law. It does tell you what "reasonable" will look like in discovery: did you make denial terminal, and can you show the log?
Enforcement pressure is already here in pieces. California Attorney General Rob Bonta served OpenAI an investigative subpoena on September 30 about cybersecurity incidents and risks. A separate fifteen-state coalition led by Iowa Attorney General Brenna Bird wrote in August demanding evidence preservation and a pause on unsafe tests. The FTC is running its own industry inquiry. None of these actions finds liability by itself. Together they make an append-only record of denials and retries look less like optional hygiene and more like the bare minimum.
Here is what to change.
