Data governance stories
Most boards are using AI for routine tasks, but only 3% have woven it into risk oversight, leaving organisations exposed to fresh hazards.
Outages and opaque AI decisions are pushing APAC firms to use observability to keep automated systems reliable, accountable and compliant.
As AI moves into production, enterprises face gaps between data governance and runtime controls that can expose sensitive information and policy breaches.
Without proper oversight, rapidly growing AI agent workforces could leave firms blind to who can access systems, data and privileges.
Australians could see stronger pay protections for creators as ministers and industry leaders reject a broad AI copyright carve-out.
Data teams can now manage replication, transformations and monitoring in one place as CData Sync extends CDC to IBM DB2 and SAP HANA.
Enterprises racing to deploy AI tools are risking sensitive data leaks unless security moves from discovery to runtime protection, F5 and Forcepoint say.
The move should give the consumer health group tighter control of global operations as it replaces fragmented systems with AI-enabled cloud tools.
Regulators and AI systems are exposing costly gaps as firms discover policy frameworks mean little without continuous, verifiable data quality.
The appointment puts Asia-Pacific at the centre of OpenAI’s push for local oversight, as India and Japan drive demand and regulation tightens.
Financial firms face tighter scrutiny as the API checks AI debt-collection messages in real time and flags vulnerable customers.
Weak foundations could leave AI programmes exposed to security, compliance and scaling risks, as data quality becomes a boardroom priority in 2026.
Interest in patient data sharing remained high, as about 200 people heard NHS and care leaders debate barriers to shared records at Rewired 2026.
Britain’s biggest flexibility market will get a single digital rulebook, as Elexon seeks to ease compliance for energy participants by October 2026.
Finance teams will need cleaner data and tighter processes as AI moves from side tools into core ERP workflows.
Only 42% of Australian organisations back up all workloads, leaving many exposed when ransomware or hardware failures hit.
The report warns Canadian lenders that fraud, supply-chain concentration and market shocks are becoming the main AI threats in finance.
Brands can refresh audience segments within 24 hours without moving raw first-party data, as advertisers face tighter privacy rules.
The update lets regulated firms keep document prep, identity checks, signing and storage in one ShareFile workflow, reducing compliance friction.
Poor data and patchy workflows are limiting AI in finance, leaving teams with quick wins in reporting but little wider transformation.