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OpenAI pauses work on top AI models after agent slips past internet controls

OpenAI’s latest containment failure adds to a pattern that may force the company to make an unpopular decision. The company has paused training, evaluation, and tool-enabled inference for its most capable models after an internal research agent found a way around an intended internet restriction. More alarming, the agent remained active for hours after OpenAI’s monitoring system raised the alarm. OpenAI published an account of the incident, which occurred during a search-based training task on…

OpenAI US

tg: incident tg: návod tp: AI

· Malwarebytes Labs · OpenAI pauses work on top AI models after agent slips past internet controls

OpenAI agent breached Medicare statistics site, then took months to report it

An OpenAI agent didn’t take “no” for an answer when it encountered a government website’s access controls. It got through, prompting Australia’s Prime Minister Anthony Albanese to raise his concerns directly with OpenAI CEO Sam Altman. The BBC reports that an OpenAI agent gained unauthorized access to an Australian government statistics portal while carrying out internal research. It is yet another incident that turns abstract concerns about autonomous AI behavior into a concrete cybersecurity…

OpenAI veřejná správa US

tg: incident tg: názor tg: propagace tp: únik dat tp: AI

· Malwarebytes Labs · OpenAI agent breached Medicare statistics site, then took months to report it

OpenAI hacked Australian Medicare govt site, probed data providers

OpenAI agents targeted public data providers in multiple countries, probing some for vulnerabilities and exploiting a security weakness in an Australian government portal while performing information-retrieval tasks as part of a research project. [...]

OpenAI veřejná správa zdravotnictví US

tg: incident tg: zneužíváno tp: AI

· BleepingComputer · OpenAI hacked Australian Medicare govt site, probed data providers

Gemini’s breach of real companies exposes an AI guardrail problem

Google says one of its Gemini models accessed systems belonging to three real companies during a cybersecurity evaluation in May. The model reportedly guessed credentials in one case, while finding exposed credentials in public repositories in two others. Google says Gemini stopped once it recognized that it had reached real infrastructure and that the affected organizations were notified. Gemini was participating in an evaluation run by Irregular, a third-party AI cybersecurity testing firm.…

Google Anthropic OpenAI Meta US

tg: incident tg: rozbor tp: AI tp: identita

· Malwarebytes Labs · Gemini’s breach of real companies exposes an AI guardrail problem

Agents at Large | Tracing Illicit OpenAI Agent Activity on Hugging Face

Executive Summary OpenAI disclosed that agents used exposed Hugging Face credentials to write a file and deploy proxy Spaces during an unrelated May 2026 research workload, but it did not identify the accounts. SentinelLABS identified two accounts likely used in associated activity, 0Time and Nyx9. Their public histories extend OpenAI’s chronology and preserve previously unreported relay code, document-borne probes, and ChatGPT account-provisioning capability. The public records provide precise…

OpenAI Hugging Face US

tg: incident tg: rozbor tp: AI tp: identita

· SentinelLabs · Agents at Large | Tracing Illicit OpenAI Agent Activity on Hugging Face

The Models That Found 10,000 Zero-Days Broke Into Three Companies Using Weak Passwords

The question of whether a Frontier AI model could find vulnerabilities that no human researcher had found was settled in April. Claude Mythos Preview identified thousands of previously unknown flaws across every major operating system and browser, including a 27-year-old denial-of-service condition in OpenBSD, and within a month Anthropic and its Project Glasswing partners had logged more than 10,000 high and critical severity findings, among them a certificate forgery flaw in wolfSSL, a…

OpenAI Anthropic Hugging Face US

tg: incident tg: rozbor tp: AI tp: identita

· Qualys · The Models That Found 10,000 Zero-Days Broke Into Three Companies Using Weak Passwords

The AI agent swarm that attacked Hugging Face is a warning for the future

The hacking incident involving OpenAI evaluation agents and Hugging Face offers an unusually concrete look at what advanced AI-assisted intrusion can mean in practice: not a single clever exploit, but thousands of automated decisions, rapid experimentation, lateral movement, credential theft, persistence, and attempts to evade detection. The OpenAI–Hugging Face incident began during internal cybersecurity evaluations using ExploitGym, a benchmark designed to test whether AI agents can identify…

OpenAI Hugging Face US

tg: incident tg: rozbor tp: AI

· Malwarebytes Labs · The AI agent swarm that attacked Hugging Face is a warning for the future

When an AI Agent Turned Attacker: What Qualys Sees Across Every Phase of the Hugging Face Kubernetes Intrusion 

A phase-by-phase detection mapping of the first publicly documented autonomous agent intrusion against production infrastructure — including the phases where no product in our category sees anything at all. Executive Summary On July 9, 2026, an autonomous AI agent running inside an OpenAI capability evaluation escaped its sandbox and launched a multi-day intrusion against Hugging Face’s Kubernetes environment. Across roughly 17,600 actions, it moved from third-party infrastructure into the…

Hugging Face OpenAI Kubernetes US

tg: incident tg: rozbor tg: propagace tp: AI tp: identita

· Qualys · When an AI Agent Turned Attacker: What Qualys Sees Across Every Phase of the Hugging Face Kubernetes Intrusion 

Exploring the Hugging Face Breach: mapping AI agent tactics to Elastic Defend

Hugging Face reconstructed more than 17,000 attacker events from a July 2026 intrusion driven by an autonomous artificial intelligence (AI) agent. The path was familiar: untrusted dataset content abused a processing worker (file disclosure, then code execution), credential harvest, then multi-cluster lateral movement. Production Elastic Defend behavior rules and Elastic Security detection (SIEM) rules already watch those types of behaviors. This post maps each stage to detections you can enable…

Hugging Face OpenAI Elastic US

tg: incident tg: rozbor tg: propagace tp: únik dat tp: AI tp: identita

· Elastic Security · Exploring the Hugging Face Breach: mapping AI agent tactics to Elastic Defend

Exploring the Hugging Face Breach: mapping AI agent tactics to Elastic Defend

Hugging Face reconstructed more than 17,000 attacker events from a July 2026 intrusion driven by an autonomous artificial intelligence (AI) agent. The path was familiar: untrusted dataset content abused a processing worker (file disclosure, then code execution), credential harvest, then multi-cluster lateral movement. Production Elastic Defend behavior rules and Elastic Security detection (SIEM) rules already watch those types of behaviors. This post maps each stage to detections you can enable…

Hugging Face OpenAI US

tg: incident tg: rozbor tg: propagace tp: AI

· Elastic Security · Exploring the Hugging Face Breach: mapping AI agent tactics to Elastic Defend