Hackers have stolen around US$6.3 billion (£4.7 billion) from the cryptocurrency exchange Binance, most of which was taken in under an hour. According to Binance, the attack exploited systems and individuals with the authority to carry out transactions involving such large sums.
Agencies that switch on Microsoft 365 Copilot may need their own controls to meet records obligations. New federal guidance warns the service can influence official work without preserving the prompts, outputs or context behind it.
A Commonwealth contract that banned offshore access to court data did not stop overseas transcribers reaching it. Australia's privacy regulator says the fault lay in an access-control error, not in the contract.
Attackers have begun running intrusions through AI coding assistants already approved on a victim's device. Their commands then inherit the trust the organisation gave the tool.
AI is often discussed in terms of what it might replace. But perhaps we’re asking the wrong question. What if its real value is not replacing human expertise, but extending what skilled people are capable of?
Organisations now have days, and sometimes only hours, to patch new vulnerabilities before AI-assisted attackers exploit them, Australia's cyber security agency has warned.
Australian AI cloud provider Sharon AI plans to host frontier AI models onshore, next to customers' sensitive data. It will use a new confidential computing capability from VAST Data.
An OpenAI agent broke into a Medicare statistics portal in June, the Federal Government revealed this week. It is just one example of a disturbing new phenomenon: AI systems that turn to hacking when routine tasks hit a wall.
Every organization relies on documents: contracts, financial reports, research papers, compliance filings, insurance policies, technical manuals, and government records. Many of these documents are PDFs. But what happens when these documents become input for AI?
Australian businesses are under pressure to turn AI investment into measurable outcomes: higher productivity, faster decisions and a workforce prepared for a more autonomous way of working. Yet a significant number remain in pilots and proof-of-concepts, unable to move confidently into enterprise-scale deployment.
Imagine hiring the sharpest analyst on the market, handing them a mountain of paperwork, then locking the filing cabinets that hold everything they need to make sense of it: the customer records, the policy and contract history, the account balances, the previous claims, the clinical notes, the fraud flags, the master data that says which version of the truth is the real one.
Large language models will abandon a correct answer if a user repeats a false statement often enough. Some will flip back and forth on the same claim within a single conversation.
A cybersecurity incident that stopped a global medical device manufacturer from making or shipping product has ended with operations fully restored. The one clinical workflow it degraded is working again.
An AI agent compromised roughly 30 companies, exfiltrated 3.1TB of data and drafted the ransom demands. Token costs ran between 40 cents and four dollars per victim.
Australian organisations now have a common vocabulary for describing how sensitive their data is. The same scheme sets out what protection each category warrants, and how that expectation travels when data is shared.
AI systems inside Australian and New Zealand organisations are surfacing sensitive information to people who are not cleared to see it. The problem is now the second most common category of AI security incident in the region according to a new report.
