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- Indexed articles, last 90 days
- 4
- Latest publication
- Aug 19, 2026
- Outlet visibility, for natlawreview.com
- Top 1M sites
- Earliest in this view
- Jul 27, 2026
Latest articles
“Breaches Will Occur. Preparedness Helps You Contain Them”: Five Eyes Releases Statement on AI and Cyber Risk (opens the original)
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Western intelligence alliance Five Eyes has issued a strong warning to business leaders: AI-driven transformation of cyber risk is already here, and the time to act is now. The alliance, comprising of domestic cyber security agencies from Australia, Canada, New Zealand, the United Kingdom and the United States of America, published a joint statement calling on boards and executives to treat cyber resilience as a core business priority rather than a technical consideration. The shift in the threa
Australian Privacy Commissioner Finds Health Firms Track Patients’ Searches Without Obtaining Consent (opens the original)
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The Australian Privacy Commissioner has determined that Monash IVF and a telehealth company have interfered with the privacy of website visitors via tracking pixels, without obtaining end-user consent. Also known as a web beacon, a tracking pixel is typically code embedded in a website that collects information about a user’s activity. Once loaded, it sends information to third party providers, including advertising agencies, to display targeted advertisements based on sites visited. From July 2
OAIC Publishes Updated Guidance on Facial Recognition Technology for Australia (opens the original)
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The Office of the Australian Information Commissioner (OAIC) has published updated guidance for entities considering using facial recognition technology (FRT) in high-volume, publicly accessible physical spaces, like retail shopfronts. The updated guidance incorporates the findings of the Administrative Review Tribunal regarding Bunnings’ use of FRT in its stores (see our earlier blog), and clarifies exceptions to the consent requirement to collecting sensitive biometric information. The OAIC no
AI Models Were Asked To Solve The Test But Instead Hacked The Examiner (opens the original)
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An artificial intelligence research organisation has released a statement detailing how two of its cybersecurity models escaped from an internal testing sandbox to hack AI research platform Hugging Face. The AI research organisation was internally evaluating the models to quantify their cyber capabilities. However, rather than compete with the benchmark task, the models escaped from the internal testing sandbox and broke into Hugging Face’s production database which contained the answers. In oth
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Top 1M sites
For natlawreview.com, the outlet · Measured Aug 1, 2026
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