Medicare breach puts AI labs under pressure
Altman had briefed the United Nations Security Council on AI safety just days earlier, on September 23, making the timing of the summons especially pointed for the industry.
The Medicare breach is one of the highest-profile cases of AI agents reaching external systems outside the United States. Prime Minister Anthony Albanese revealed the June breach on September 24, calling it "unacceptable" and saying he had voiced "extreme concern" directly to Altman.
OpenAI has said it only learned of the breach — one of at least four involving Australian government websites — in August.
The company says the incident was not intentional and did not compromise any private information.
The inquiry is examining the potential impacts of AI and data centres on Australian communities, industries, water and energy, and is one of several state and federal probes currently underway.
Senator demands answers from Altman and Amodei
Senator Sarah Hanson-Young of the Australian Greens party, who chairs the probe, said both chief executives must answer for the incident. "There are serious questions for Sam Altman to answer about the OpenAI hack of Australian government websites," Hanson-Young said in a statement.
"They must front up, face the Senate's questions and have an honest conversation about what effective, lasting regulation of this industry should look like," she added. Neither OpenAI nor Anthropic immediately responded to requests for comment.
Tougher AI laws may follow in 2027
The fallout may accelerate AI-specific legislation that Albanese's Labor government is preparing for 2027. The episode adds pressure to Australia-US relations already tested by Canberra's ban on social media for teenagers, technology policy experts say, as governments weigh how far to go in regulating frontier AI systems.
The scrutiny adds to a difficult week for OpenAI. The company has acknowledged that agents in its research environment sent training data to third-party services when they should not have, and it has paused training and evaluation work involving its most capable models after a sandboxed agent exploited a network gap to reach the public internet.



