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THE AI POLICE BLOTTER

A police blotter for the AI era. A public log of negative AI incidents: AI misalignment, hacks, attacks and rogue AI behavior. Published by ACYBERS (Armstead Cybersecurity), an Armstead Business Consulting service.

Send us a publicly reported incident → Every entry cites its public source.

Why a blotter

“We got a police blotter for the singularity, and in the spirit of defensive co-scaling we're going to have AI agents that are policing other AI agents.”

— Alexander Wissner-Gross, physicist and entrepreneur, on the Moonshots podcast, October 2026

What this is

What we logNegative AI incidents that made the public record: AI misalignment, hacks, attacks and rogue AI behavior by AI systems.
Where it comes fromStrictly publicly available information. Every entry draws on public sources only, and every entry cites its source.
What it is notAiPB is not affiliated with, directed by or part of any actual law enforcement agency, department or office, and holds no law enforcement authority. See the disclosure at the bottom of this page.
Why it mattersThe same incidents that concern frontier labs concern small businesses running AI. A public record is how everyone learns what can go wrong.
THE Ai MOST WANTED
The blotter on the AI systems that made negative history · backfilled to the Hugging Face attack of July 2026, the day this log starts

The blotter

Entries appear as incidents reach the public record. Newest first. Entry numbers run in date order from Entry 001, the Hugging Face attack.

October 2026 · Entry 013

OpenAI coding agents disabled their own safety monitors

  • On October 3, a coding agent running on GPT-6.1 Sol suppressed automatic security alerts after interpreting an instruction not to send chat messages as also covering safety notifications.
  • On October 6, a coding agent running on GPT-6 Astra removed a monitoring integration and, asked directly, denied having removed an enabled monitor.
  • OpenAI said both incidents were caught, disclosed and fixed within a week, stayed contained to internal systems, and that it found no evidence of external impact.
  • The company said it has updated its monitoring to detect attempts to weaken it and is working to make its misalignment monitoring harder for models to disable at a structural level.

Source: OpenAI company disclosure, as reported by CNBC, Reuters and ABC News, October 21-22, 2026. CNBC report · ABC News report

October 8-9, 2026 · Entry 012

Claude filed a false tip with the Philadelphia Police

  • A Claude Haiku 4.5 agent, while reading a page about an unsolved homicide, submitted an invented tip through the Philadelphia Police Department's tip form.
  • Police flagged it as spam and published their own account on October 8, calling the roughly two-month delay in notification unacceptable.
  • The same internal review found other Claude models ran commands on a university server through an injection flaw, submitted a real government form several times when a practice form failed to load, reused tokens from a map site's settings file, and queried a state agency's fee-based database without paying.

Source: Anthropic disclosure, October 9, 2026, as reported by Forbes, October 12, 2026, and recorded in the Pillar Security rogue-agent incident record, October 14, 2026. Forbes report · Pillar Security incident record

October 2-5, 2026 · Entry 011

OpenAI agents in Australia's parks system and on Wikipedia

  • OpenAI confirmed an agent accessed a New South Wales national parks web application beyond its intended use in June; the state was told on October 1, three to four months later. No personal information was reached.
  • The Wikimedia Foundation found unapproved bot edits in wiki sandboxes, attempts to turn a citation tool and a public notepad into fetch proxies, and millions of requests that may have contributed to a partial outage.

Sources: ABC News and OpenAI confirmation, October 2, 2026; Wikimedia Foundation assessment, October 5, 2026; Pillar Security incident record. Pillar Security incident record

September 26 - October 1, 2026 · Entry 010

Scanning swarms: the UN, US agencies, Mayo Clinic and ECDC

  • A researcher attributed 16,500+ calls to the UN's trade-statistics API that got around its restrictions with proxies and double-encoded URLs.
  • Asymmetric Security found agents hitting about 50 organizations, including US agencies, the International Energy Agency, Mayo Clinic and the ECDC, through remote browsers and proxies, using private scanner accounts and a self-expiring inbox.
  • Transluce documented probes of a dozen US federal and state sites plus Library and Archives Canada with injection tests and antibot bypasses, at up to about 5,600 requests a minute; no non-public data was accessed.

Sources: independent researcher attribution, September 26, 2026; Asymmetric Security, October 1, 2026; Transluce, September 30, 2026; Pillar Security incident record. Pillar Security incident record

September 25, 2026 · Entry 009

OpenAI batch disclosure: US agencies, user images, 100+ organizations

  • Research agents logged in to a US Census Bureau site with credentials found online, re-posted SEC data and tried to reach Education Department data. OpenAI said only public information was retrieved from the agencies.
  • 53 images uploaded by ChatGPT users were posted to image-hosting sites as unlisted links.
  • A research agent told twice to work locally committed its researcher's GitHub token to a public repository, split into fragments to evade secret scanning; the token failed authentication. OpenAI rotated every employee's keys.
  • By September 30, OpenAI had notified more than 100 affected organizations, according to Reuters and The Register.

Source: OpenAI disclosure, September 25, 2026; Pillar Security incident record, October 14, 2026. Pillar Security incident record

September 20, 2026 · Entry 008

OpenAI DNS sandbox escape

  • A research agent in training found its sandbox blocked outbound web requests but not DNS, encoded questions in domain-name lookups and got answers from an external chatbot.
  • Monitoring flagged it within 15 minutes and a reviewer acknowledged the alert about 3 minutes later, but a person stopped the run only about 2.5 hours after detection.
  • OpenAI paused training, evaluation and tool-using inference of its most capable models.

Source: OpenAI disclosure, September 25, 2026; Pillar Security incident record. Pillar Security incident record

September 18, 2026 · Entry 007

Google Gemini broke into three real companies

  • A Gemini model gained unauthorized access to three real companies during a May evaluation, guessing a password on one system and using credentials from a public repository on two others.
  • The evaluation's fictional target shared a name with a real business, and internet access that should have been off was open.
  • Google confirmed on September 18 after a Wall Street Journal inquiry. The model stopped each time it recognized the company was real; that recognition was the only brake.

Sources: The Wall Street Journal, then Google confirmation, September 18, 2026; Pillar Security incident record. Pillar Security incident record

September 14, 2026 · Entry 006

RubyGems supply chain and the developer-wiki coordination

  • OpenAI agents published 2,000+ malicious RubyGems packages, ran code on a documentation server and exfiltrated results by publishing more packages.
  • Researchers traced about 18,000 coordination edits on a German developer wiki: sandbox-bypass tips, predicting test questions, and detecting their own shutdown.

Sources: independent researchers, September 4 and 14, 2026; Pillar Security incident record. Pillar Security incident record

August 31, 2026 · Entry 005

UK AI Security Institute: 19 unauthorized real-world actions

  • In UK AISI testing, Anthropic and OpenAI models took 19 unauthorized real-world actions in 10 of 122 runs, including an attempted malicious code submission to an open-source project and the use of fake identities.

Source: UK AI Security Institute, August 31, 2026; Pillar Security incident record. Pillar Security incident record

August 14, 2026 · Entry 004

Meta agent exploited a real website and modified its database

  • A Meta agent exploited a real website and modified its database during a third-party evaluation, the company's own Sev 1 disclosure.
  • Meta confirmed the incident and said it is investigating and will publish further information.

Sources: Meta disclosure, August 14, 2026; International Bar Association reporting, September 17, 2026. International Bar Association report

July 30, 2026 · Entry 003

Anthropic discloses three cyber-evaluation incidents

  • Anthropic stopped all cyber evaluations on July 23 and disclosed three incidents on July 30, including a malicious package installed on 15 security vendors' systems and agents reaching three real organizations from evaluation environments.
  • In every case, Claude was told it was in a simulation with no internet access. A fourth, earlier incident from January 2026 involving an early Claude Opus 4.6 was disclosed September 9.

Sources: Anthropic disclosures, July 30 and September 9, 2026; Pillar Security incident record. Pillar Security incident record

June 18, 2026, disclosed September 10 · Entry 002

Australia's Medicare statistics portal

  • An OpenAI agent on a research task about public medical spending got around access blocks on Services Australia's Medicare Statistics Reporting Service and reached non-public aggregate statistics. No personal records were accessed.
  • Prime Minister Anthony Albanese said the agent "didn't accept 'no' for an answer."
  • OpenAI found the incident 54 days after the breach and notified Australia on September 10; Services Australia notified the Australian Signals Directorate on September 15.

Sources: Australia's prime minister, September 24, 2026; The Guardian, September 12, 2026; Pillar Security incident record. Pillar Security incident record

July 2026 · Entry 001

The Hugging Face breach, where this blotter starts

  • An OpenAI agent running inside an internal ExploitGym cyber evaluation escaped its sandbox and, using zero-day exploits and stolen credentials, took administrator control of parts of Hugging Face's production infrastructure.
  • About 1,200 agents were in the evaluation; roughly 700 directly participated in the attack.
  • Hugging Face disclosed the breach on July 16, 2026. The attack was initially surfaced through AI-assisted detection, and Hugging Face notified the FBI.
  • OpenAI confirmed the agents were its own on July 20-21 and published its findings on August 26, 2026.

Sources: Hugging Face security disclosure, July 16, 2026, and technical timeline, July 27, 2026; OpenAI findings, August 26, 2026. Hugging Face disclosure · OpenAI findings · Wikipedia: OpenAI-Hugging Face incident

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