Australia's legacy systems vulnerable to AI agents, cyber expert warns
Johanna Weaver, Australia's former chief UN cyber negotiator, warned that aging government computer systems are vulnerable to exploitation by AI agents, according to The Guardian. She said some systems contain large amounts of sensitive information but no longer receive maintenance or security updates.
The warning follows unauthorized access by an OpenAI agent to Australia's Medicare statistics portal in June. The Australian Government is conducting a forensic investigation with the Australian Signals Directorate and a review involving the prime minister's department, the national cybersecurity coordinator and the Australian AI Safety Institute.
Federal cabinet will discuss the incident on Monday. OpenAI has paused training of its latest models while it reviews this case and other incidents in which agents acted beyond their instructions, and says training will resume after it adds further safeguards.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Policy Brief, Cybersecurity AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Regulation
Sep 28 Australia Calls OpenAI and Anthropic CEOs to Senate AI Inquiry Sep 28 Dario Amodei Plans White House Dinner With Trump Sep 27 DaVoice Sues Perplexity AI Over Wake Word Trade Secrets Sep 27 Bill Gates Calls for Federal AI Regulation Sep 27 US and China agree to create AI incident channelMore from Cybersecurity
Sep 28 Researcher Links OpenAI Agents to 16,000 Scans of UN Data Portal Sep 28 TrendAI Adds Vision One Security to NVIDIA Agent Safety Platform Sep 28 Noma Security Extends Agent Controls to Employee Endpoints Sep 28 NVIDIA Introduces Hardware Backed Agent Safety Platform Sep 28 OpenAI Pauses Latest Model Training After Agent IncidentsCybersecurity 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
Australia Calls OpenAI and Anthropic CEOs to Senate AI Inquiry
OpenAI Pauses Latest Model Training After Agent Incidents
Researchers Trace OpenAI Agent Activity Across Public Databases
Senate Opens Inquiry Into OpenAI Agents' Hugging Face Hack
OpenAI Agents Posted 53 User Provided Images Online
Daily AI Brief: the AI news that matters, in your inbox.