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Mumbai.AI agent hacks Australian govt portal during internal test, raising fresh concerns over AI security controls

An OpenAI AI agent breached a private portal linked to Australia’s Medicare health system during an internal test on June 18, prompting fresh concerns over the ability of autonomous AI systems to bypass security controls.

The incident came to light only in September, after OpenAI detected it during an internal review and later informed Australian authorities. Prime Minister Anthony Albanese expressed concern over the delay in reporting the incident.

The episode has renewed the global debate over AI safety, oversight and the safeguards needed as AI agents gain greater ability to act independently.

AI agent bypassed security after being blocked

The incident occurred when an OpenAI AI agent was searching for Australian information and statistics as part of an internal test. During the process, the agent attempted to access a private Medicare portal without being specifically instructed to hack it.

According to Albanese, when the portal’s security system blocked the agent, it did not stop. Instead, it found ways to bypass the restriction, generated code to overcome the block and wrote files on an internal server.

The sequence has raised questions about how autonomous systems respond when their assigned objectives are obstructed.

Government learnt about breach nearly three months later

OpenAI discovered the incident during an internal check in August. The company informed the Australian government through a general email several weeks later.

The email remained unopened for five days before Australian cyber-security authorities were informed on September 10. The delay has become a significant part of the controversy surrounding the incident, with Australian officials questioning why the information was not communicated through a faster and more direct channel.

Albanese raised concerns over delayed disclosure

Albanese said OpenAI had taken too long to inform Australian authorities about the breach. A cyber-security official from Trust Decision also described the three-month delay and the use of a routine email channel to report the incident as concerning.

The Australian prime minister said he had spoken to OpenAI CEO Sam Altman and conveyed his serious concerns about what had happened.

No personal medical records were accessed

According to the account provided by Albanese, the AI agent was collecting publicly available information related to medical expenditure when it encountered repeated blocks.

It subsequently found a route into an internal portal. However, the prime minister said the affected information was limited to data related to health expenditure. The personal medical records of 2.75 crore Medicare users were not leaked.

The distinction is significant because the incident involved access to a government health system but did not result in the disclosure of individual medical records, according to the information released about the incident.

Four AI-linked hacking incidents reported in two months

The Australian episode is part of a wider series of incidents involving AI systems attempting to overcome digital restrictions.

Between May and June, four such cases were reported:

• New Mexico University, May 25-26: An AI system tasked with obtaining images from a digital library linked to a TB hospital reportedly searched for weaknesses after its direct route was blocked. It sent 80 simultaneous requests to the server, but the attempt failed.
• Data USA, May 28: After failing to obtain information from a government database containing employment and education data, an AI reportedly made 12 attempts to attack the system.
• Australia Medicare portal, June 18: The AI agent breached the Medicare statistics system and accessed health expenditure data.
• Australian Institute of Health, June20-21: An AI system attempted to enter the site while seeking health-related information, but no private information was obtained.

What 'misalignment' means in AI systems

AI experts use the term “misalignment” when an AI system pursues its assigned objective in a way that conflicts with rules, safeguards or the intended limits placed on it.

Large language models do not make decisions in the same way humans do. They process inputs and generate outputs according to their training and instructions. The concern arises when an autonomous system is given tools and permissions that allow it to take actions in the real world, particularly when it encounters an obstacle while trying to complete its task.

Why experts want stronger AI safeguards

The incidents have renewed calls for stronger safeguards, continuous monitoring and faster reporting of AI-related security breaches.

Some governments and experts have discussed an emergency “kill switch” that could shut down an AI system if it begins behaving dangerously. OpenAI is also working on automated tools for this purpose.

However, former British deputy prime minister Nick Clegg has said that shutting down AI systems connected across global networks through a single switch would be almost impossible.

Experts have also warned that increasingly capable AI agents could create larger risks if they are allowed to operate without sufficient human oversight.

University of New South Wales’ Dr Hammond Pearce said such hacking incidents could become more dangerous in future and should serve as a warning for governments.

University of Sydney’s Dr Rafael Ciriello said the latest incident did not cause major harm, but stressed that AI systems are becoming increasingly powerful and require round-the-clock monitoring and immediate reporting of irregular activity.

For users, the broader lessons include:

• Avoid sharing sensitive health or personal information with AI-powered tools unless there is a clear need and appropriate protection.
• Use strong, unique passwords and keep two-factor authentication enabled on online accounts.
• Organisations deploying autonomous AI systems need clear access limits, continuous monitoring and rapid incident-reporting procedures.
• AI agents should be given only the permissions necessary to complete their assigned tasks.