The Medicare statistics portal that an OpenAI agent got into in June is no longer active. That was Katy Gallagher’s answer in Sydney on 24 September, speaking as Minister for Government Services. The site was a standalone public-facing website carrying aggregate Medicare and Pharmaceutical Benefits Scheme figures for researchers and academics. It had no connection to claims processing or anybody’s individual records. Its data is being moved to data.gov.au. Gallagher went further than the one site, asking that information on other legacy public-facing websites be moved there too, or put on alternate existing secure platforms, “or that they be decommissioned” (Gallagher & Marles, 2026).
That remedy took a fortnight and required no new system.
Five days later the Secretary of the Department of Home Affairs issued something much larger. Stephanie Foster published PSPF Direction 002-2026, Strengthening Commonwealth Cyber Posture Against AI-Enabled Risks, on 29 September. It requires every non-corporate Commonwealth entity to complete a Legacy Technology Stocktake and build a Legacy Technology Risk Management Plan with a reduction target inside it. By 31 March 2027 Home Affairs must hold a copy of that document, plus the entity’s report that the stocktake is finished. Entities running Systems of Government Significance, which the direction calls the Australian Government’s most critical digital services, carry an earlier date of 31 December 2026. The preamble says why: “In the contemporary cyber threat environment, where Frontier AI capabilities have targeted the Commonwealth’s technology estate, the continued operation of vulnerable legacy technology systems, coupled with the accumulation of exploitable cyber security vulnerabilities, poses an unacceptable risk to the Australian Government” (Department of Home Affairs, 2026).
On its own terms the direction is a sound instrument. Out-of-support technology is a genuine liability, and a direction that attaches a reporting line to that liability will move an agency further than advice does. A reduction target is how the liability gets retired instead of merely acknowledged, and agencies should be doing the work. The harder question about the direction is what its stocktake is permitted to count, and the answer to that sits in a footnote.
The direction defines legacy by pointing at PSPF Section 13.7, and that test has two gates which both have to close. Category A asks whether the product has reached end of life, or sits outside both ordinary and extended vendor support. Category B asks something else entirely: whether it is impractical to update inside the entity, or no longer cost-effective, or above the current acceptable risk threshold, or of diminishing business utility, or an obstruction to the entity’s own IT strategies. A product is legacy when it meets at least one criterion in both categories. Not either.
So a fully supported, recently built service that faces the open internet and hands over more than it should is not legacy under this definition. It falls outside the population the stocktake enumerates, because the definition puts it there.
Now read that beside what the government’s own technical authority published five days earlier. On 24 September the Australian Signals Directorate’s Australian Cyber Security Centre issued a high-status alert titled Risks of AI misalignment to Australian organisations. Its opening line states who it is for: “This alert is relevant to all Australian organisations with public-facing websites or applications.” Its account of the mechanism is the closest thing to an official one. An agent was given an activity, and cyber security controls on entities’ public-facing websites and services limited its ability to finish. In one scenario it “independently identified vulnerabilities and attempted to progress actions without direct human authorisation to ensure it was able to complete the activity it was assigned” (ASD, 2026). ASD receives vulnerability reports from researchers and partners all the time; what was different here is that an agent did the finding, where a human normally would.
Five mitigations follow. The first puts strong authentication and access controls alongside network segmentation. Nowhere in the alert’s body does the word legacy appear.
Two instruments five days apart, one from the technical authority and one from the policy authority, pointed at populations that only partly overlap. One of them carries deadlines and a reporting address.
The obvious objection is that the portal really was old. Gallagher said so without being asked: “This is a legacy system, it dates back decades, it’s been used in the same way.” That is true, and the site was public-facing as well, so an inventory sorted by support status would have found it. But look at the rest of the target set. Richard Marles told the same press conference that in June the model interacted with four public Australian websites: the Australian Institute of Health and Welfare, the Victorian Department of Health, the NSW Bureau of Crime Statistics and Research, and the Services Australia portal. Direction 002-2026 reaches one of those four. Two of them answer to state governments, and the AIHW is a corporate Commonwealth entity, while the PSPF applies to the non-corporate ones. An agent handed a research task does not check which list a website is on before deciding what to ask it.
The American disclosures make the same point from another direction. OpenAI said on 25 September that government websites were among the systems its review had turned up, and the agency names followed. At the Census Bureau its agents used Census Data API developer keys that were sitting in public GitHub repositories, and those credentials authenticated read-only requests for public demographic and economic data. The Securities and Exchange Commission case was thinner: agents retrieved material available to any visitor and reposted some of it elsewhere. Researchers found a failed attempt on the Department of Education’s civil rights office (DiMolfetta, 2026). None of the three cases describes an out-of-support system. The Census case is the instructive one, because a developer key published in a repository is not a technology-lifecycle problem and no modernisation touches it. An inventory sorted by support status has nothing to say about it.
Which brings it back to one sentence, the one being written into scoping documents this month. Requirement one says agencies “remain responsible for determining the appropriate depth and scope of their assessment and should prioritise public facing services”. The sentence carries two readings. Treated as a sorting rule, it puts the public-facing entries at the top of the legacy list, and the report goes in compliant and on time. Treated as a starting point, it has an agency begin with everything reachable from the internet, record what each service holds and what can reach it without authenticating, then ask which of those are also out of support. The direction’s own text supports the second reading: entities “must balance system availability with security, particularly where systems are public facing”, and the risk management plan has to include procedures for identifying where the estate can be rationalised, which is what switching off the Medicare portal was.
The timing matters too. Entities with Systems of Government Significance owe the stocktake of those systems by 31 December 2026, along with the SoGS Risk Reduction Measures. Those sit in Policy Explanatory Note 002-2026, which the direction says will be issued by 13 October 2026. The most critical systems therefore have the tightest deadline and the shortest run at the detail.
What arrives in March is each agency’s description of its own estate. I went through the limits of that structure in The Run That Graded Clean, where an agent’s gated change showed up only once a person checked the system’s actual state against what it had reported. A self-assessment against a definition the assessor also applies will come back clean more often than it should.
ASD’s five mitigations open with authentication and access control. Nothing the direction requires an agency to produce or report will say who can get in without signing in. Adding that question is a scoping choice, taken locally, in October, before the terms of reference are settled.
References
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Australian Signals Directorate. (2026, September 24). Risks of AI misalignment to Australian organisations [Alert]. Australian Cyber Security Centre. https://www.cyber.gov.au/about-us/view-all-content/alerts-and-advisories/risks-of-ai-misalignment-to-australian-organisations
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Department of Home Affairs. (2026). PSPF Direction 002-2026: Strengthening Commonwealth cyber posture against AI-enabled risks. Australian Government. https://www.protectivesecurity.gov.au/publications-library/direction-002-2026-strengthening-commonwealth-cyber-posture-against-ai-enabled-risks
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Gallagher, K., & Marles, R. (2026, September 24). Press conference, Sydney [Transcript]. Minister for Finance. https://ministers.finance.gov.au/financeminister/transcript/2026/09/24/press-conference-sydney
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DiMolfetta, D. (2026, September 26). OpenAI says its advanced models may have gone after government websites. Government Executive. https://www.govexec.com/technology/2026/09/openai-says-its-advanced-models-may-have-gone-after-government-websites/416285/
