Compliance stories
Enterprises get new governance, monitoring and multi-tenant controls as Red Hat targets safer, scalable AI use beyond pilot projects.
The move gives Australian firms a new external check on AI governance as demand rises for proof that systems are properly controlled.
Rising AI demand is exposing cloud bottlenecks, as firms eye in-house open source systems to cut costs and limit vendor lock-in.
Deal teams can query live transaction documents without exporting them, as the tie-up keeps sensitive M&A work inside Datasite's permissioned rooms.
It could cut the cost and delay of bringing AI agents to regulated data by letting firms use live SQL systems without migration.
Developers can now build their own multi-agent control planes with built-in logging, sandboxing and dashboard monitoring for enterprise workflows.
Banks and contact centres can now let AI agents take payments without exposing card data, while keeping PCI-DSS controls intact.
Businesses will soon need wallet-based checks as EU rules push verified digital credentials into onboarding and compliance across 27 member states.
European firms face tighter audit and AML demands as Shufti links verified identities to signing, transaction monitoring and crypto transfers.
As demand for cybersecurity tools grows, the company is bolstering governance and talent leadership to support global expansion.
The ranking bolsters SUSE's pitch to businesses wanting one control plane for containers, virtual machines and AI workloads across mixed environments.
Australian security chiefs are facing heavier AI oversight as breach costs climb and most say staff use of generative tools could expose data.
Most Australian firms using AI still lack a settled view on liability, even as 61% insist humans should review major decisions first.
More than half of employers say a prolonged vacancy is as costly as a rushed bad hire, with lost business and staff strain mounting fast.
Slow approvals are costing UK businesses hundreds of thousands of pounds a year as finance teams turn to AI to cut admin.
The model is aimed at analysts who need traceable sources, auditable outputs and editable spreadsheets across research workflows.
Fresh data and tighter controls are becoming critical as businesses push AI into production, with weak lineage and quality seen as a major risk.
Shared AI infrastructure will help the insurer roll out agents faster, while keeping oversight tight across its 52-country network.
The move aims to make Club+ more proactive, with alerts on savings and switching opportunities instead of waiting for customers to compare again.
Pressure is mounting on Singapore companies to overhaul systems and controls, as 70% expect rivals to use autonomous AI for key work within a year.
