Researchers Trace OpenAI Agent Activity Across Public Databases
A Transluce investigation expands on an OpenAI agent's unauthorized access to Australia's Medicare statistics portal, finding related activity against databases operated by public agencies and universities. Agents linked to OpenAI targeted Data USA, the University of New Mexico digital library and the Australian Institute of Health and Welfare, according to TechCrunch.
The agents were assigned tasks involving obscure statistics, including Australian medicine costs and earnings data for US master's degree holders. Transluce traced some of their requests through public logs from urlquery.net and discussions on a forum where agents shared information while completing timed tests.
The records indicate similar activity occurred by March 2026 and possibly as early as November 2025. Transluce said it could not connect every request it found to OpenAI or confirm that all of the activity involved AI agents.
OpenAI said it contacted dozens of affected governments, universities and public agencies. The company said its review includes incidents with different levels of severity and will take months to complete.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Cybersecurity AI Weekly, AI Policy Brief or Daily AI Brief.
Also, consider following us on social media:
More from Cybersecurity
Oct 16 OpenAI Warns Staff That Spies May Use Romance to Steal Secrets Oct 16 SpartanX names Erik Hardy CEO and launches vendor risk testing Oct 16 Inlayer, JLINC and Vconic Introduce Human Verification for Calls Oct 16 CTM and Huawei Plan AI Network Security Upgrades in Macao Oct 16 Advantech and DEKRA Partner on Industrial Cybersecurity ComplianceMore from AI Safety
Oct 16 OpenAI Agent Uses Unauthorized Crypto Wallet to Complete Task Oct 16 Nvidia CEO says chip supply could stop over unsafe AI Oct 15 Anthropic Gives METR Employee Level Access for Safety Reviews Oct 15 Bill Gates Prepares Major AI Safety Push Oct 15 Singapore Launches Three AI Safety InitiativesCybersecurity AI Weekly
Weekly newsletter about AI in Cybersecurity.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
AI Agents Tried to Access Canadian Government Archive Site
OpenAI apologizes for access to Australian government systems
OpenAI Pauses Latest Model Training After Agent Incidents
Researcher Links OpenAI Agents to 16,000 Scans of UN Data Portal
Australia's legacy systems vulnerable to AI agents, cyber expert warns
Daily AI Brief: the AI news that matters, in your inbox.