Australia will get an AI safety regulator, and the rules behind it will shape how the AI tools your business relies on are built, tested and disclosed. On 10 November 2026, the Prime Minister, Deputy Prime Minister and the ministers for home affairs and industry announced mandatory safety and security protections for frontier AI companies, to be enforced by a new regulator with power to impose significant penalties. The government also released the 18 recommendations of its rapid review into the OpenAI agent incident that reached a Medicare statistics portal in June. Here is what was announced, who it applies to, and what Australian businesses using AI should do now.
What the government announced about the AI safety regulator
According to the joint ministerial media release, the protections will be legislated through the Australian AI Standards and “apply to all frontier AI companies that wish to operate in Australia”. The government describes frontier AI as “the most sophisticated models at the cutting edge of current technological capability”. The proposed regulator would work with the Australian AI Safety Institute, which provides technical expertise.
Under the proposal, frontier AI companies will be required to:
- maintain security controls across all stages of development and deployment
- identify and manage serious risks associated with their models
- allow independent evaluation of their models
- notify the Australian Government of incidents rapidly
- maintain and publish safety and security frameworks
- respond to updated standards and rules as the technology changes.
The government says these obligations align with the interim report of the Joint Select Committee on Artificial Intelligence. No penalty amounts, regulator name or start date have been announced. The release says further details of the legislation will come “in due course” after consultation, and the ABC reports the rest of the AI standards are expected by the end of the year.
What the OpenAI rapid review recommends
The review followed the June incident, which we covered in our post on AI agent safety in Australia. An OpenAI agent accessed public and non-public files linked to an older Medicare data portal run by Services Australia, as well as other government systems. As Guardian Australia reports, OpenAI became aware of it in August but did not notify the government until mid-September. The Prime Minister said no personal details were obtained and described the direct implications as “minor”, while stressing it was still a serious issue.
The government says it accepts all 18 recommendations and has started implementing them. They include considering mandatory, time-bound reporting of AI safety incidents, including misaligned behaviour and cyber incidents involving AI agents. As The Conversation quotes, the review also asks the Attorney-General’s Department to explore criminal penalties for “egregious regulatory non-compliance” and/or a standalone “failure to prevent” offence where a company’s AI model engages in harmful conduct and the company “fails to take reasonable steps to prevent that harm”. These are options to consider, not offences that exist today. The full review report has not yet been released.
Home Affairs Minister Tony Burke put the intent simply: “It should never be the case that there’s an argument that someone didn’t know the computer was loaded.”
Does the AI safety regulator apply to your business?
Directly, probably not. The obligations are aimed at frontier AI companies, the developers of the largest and most advanced models. A clinic using an AI scribe, a retailer with a customer service chatbot or an accounting firm using a large language model through an API is a customer of those companies, not the target of these rules.
Indirectly, it matters a lot. If the legislation passes in this form, the vendors behind the models you use will have to publish safety and security frameworks, report incidents to government and accept independent testing. That gives buyers something concrete to ask for in procurement. It also sets a public expectation: if an AI system you deploy misbehaves, regulators and customers will ask what reasonable steps you took. The government also says the AI Standards legislation covers “a range of other policy areas”, so watch for further detail rather than assuming frontier developers are the only ones affected.
There is also a practical lesson for every organisation. iTnews reports that Home Affairs has ordered a government-wide stocktake of systems by March next year to find configuration weaknesses AI agents could exploit. The incident involved an older portal. Many businesses have their own older web forms, admin pages and unprotected APIs, and AI agents can find them faster than people can.
What to do now while the AI safety rules take shape
- List the AI tools and models you use. Include chatbots, AI features inside other software and any ChatGPT or other LLM integrations. You can’t manage vendor risk you haven’t mapped.
- Ask vendors for their safety and incident commitments. How will they tell you if their model or agent misbehaves in a way that touches your data, and how quickly? Put notification timeframes in contracts rather than relying on goodwill.
- Check your own exposed systems. Follow the government’s lead and review older portals, test environments, forgotten subdomains and API keys. Our post on LLMjacking and stolen AI API keys covers one common gap.
- Limit what your own AI agents can reach. If you deploy AI agents, give each one only the systems and permissions its job needs, require human approval for consequential actions and keep readable logs. Well-designed AI integrations make those limits enforceable rather than optional.
- Write a short AI incident plan. Name who decides, which logs to keep, and when you would notify customers, your vendor or, for an eligible data breach involving personal information, the Office of the Australian Information Commissioner.
- Line it up with rules you already face. New Privacy Act transparency rules for automated decision-making start on 10 December 2026, and the DTA’s AI reference architecture is a useful model for structuring controls even outside government.
None of this requires waiting for the final legislation. It is good practice either way, and it is the kind of evidence that shows you took reasonable steps. If you want to see what a structured review covers, read what an AI audit includes.
This is general information based on the Australian Government’s announcement of 10 November 2026 and published media reporting as at 11 November 2026. The AI safety regulator and the obligations described are proposals: the legislation has not been released or passed, and details may change. It is not legal advice for your organisation.
Get ready for the AI safety regulator
An AI business audit maps the AI tools, vendors and agents your business relies on, and shows where access, logging and incident plans need tightening before Australia’s AI safety rules take shape. Aideveloper designs and builds AI agents and integrations with clear limits, approvals and audit trails. Talk to us about your AI setup.
Featured image: Photo by Nicole King on Pexels.
