New Zealand organisations must notify individuals when their personal information is collected indirectly under new privacy legislation that takes effect May 1, 2026.
Sydney financial services firm Fortrend Securities must pay $A13,500 in damages after deliberately disclosing a former employee's confidential medical certificate to a client.
The Australian Securities and Investments Commission will not publish firm-level data on compliance breaches, reversing its April proposal following industry pushback about regulatory maturity and reporting burdens.
If the expression “May you live in interesting times” describes your role, you may be a security and risk management (SRM) leader. Between resource constraints caused by rapid-fire tariff announcements, pressure to expand your purview and a perpetual need to catch up with the latest cybersecurity threat, your best bet is to prioritize initiatives that align with the organization’s broader objectives.
Poor governance and data management practices, not technological limitations, are the primary reasons artificial intelligence initiatives struggle in organisations, according to new research that challenges recent claims about widespread AI project failures.
RegGenome, a UK-based regulatory technology company, has secured a contract with the Asian Development Bank to deploy AI-powered compliance analysis across 14 Pacific Island nations.
A new study has found Microsoft Purview can reduce the likelihood of a data breach by 30 per cent. The Forrester Consulting study, commissioned by Microsoft, also reported a 355 per cent return on investment over three years for a composite organisation.
The global Intelligent Document Processing (IDP) market exceeded $US8 billion in 2024, growing 14.5% as generative artificial intelligence transforms how organisations automate compliance and data workflows, according to Infosource's annual State of the Global Intelligent Document Processing Market report.
OpenAI’s latest research paper diagnoses exactly why ChatGPT and other large language models can make things up – known in the world of artificial intelligence as “hallucination”. It also reveals why the problem may be unfixable, at least as far as consumers are concerned. The paper provides the most rigorous mathematical explanation yet for why these models confidently state falsehoods. It demonstrates that these aren’t just an unfortunate side effect of the way that AIs are currently trained, but are mathematically inevitable.
