AI Safety stories
Governance gaps are slowing enterprise adoption as most technology leaders say AI deployment is outpacing controls, according to a cited IBM study.
Corporate boards are being urged to slow AI roll-outs, as executives warn that poor governance and weak oversight could erode trust and security.
AI-enabled attacks are forcing Asian firms to contain breaches faster, as Singapore urges micro-segmentation and tighter lateral movement controls.
The ranking could help Google win enterprise AI contracts as buyers demand secure, governed tools rather than standalone chatbots.
Hackers are exploiting vulnerabilities in hours or minutes, leaving many organisations compromised before defenders spot the breach.
Oracle is targeting a common blocker to AI adoption by adding governance, human checks and audit trails to its agentic app builder.
Security teams face faster, harder-to-trace intrusions as AI is now being used to write attack code and run deception during breaches.
As enterprises push AI into production, weak data pipelines, governance gaps and rising energy costs are emerging as the real bottlenecks.
The new canvas is aimed at easing a chip design review bottleneck as AI-generated RTL outpaces human engineers' ability to check it.
Weak public trust and tighter oversight are pushing Australian and New Zealand firms to add live AI security controls before systems go into production.
Poor governance is leaving many AI agents stuck out of production, while those that run can expose firms to legal and security risks.
The rollout puts image generation inside Meta's most-used apps, as the company broadens its AI tools for chats, stories and advertising.
New oversight is set to shape AI rules, but businesses say success will hinge on practical guidance, skills and sustained investment.
Boards are being pushed to rethink data platforms and cyber controls as AI adoption exposes Australian firms to faster attacks and stricter governance demands.
Australian firms are increasingly using AI in day-to-day operations, with leaders saying data quality and human oversight now matter more than pilot projects.
Public confidence may decide whether generative AI delivers up to USD $76 billion for New Zealand by 2038, TUANZ said.
As AI spreads through core business functions, executives warn weak oversight could expose firms to deepfakes, fraud and costly incidents.
Many workers are being left to learn AI on their own, with junior staff far less confident than senior leaders, a survey shows.
The Singapore startup is seeking stronger public-sector and industry links as it pushes its autonomous delivery software into buildings and logistics.
Users will now be able to track moles, UV exposure and skin changes over time as the app shifts towards preventive care and referrals.
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