AI Safety stories
Businesses struggling to turn AI pilots into measurable returns are the target of HCLTech Pulse, aimed at mid-market firms with complex tech needs.
Traditional email filters are failing as AI-crafted scams now look legitimate enough to fool staff and drive up fraud losses.
The first stage of SYD1 now has an anchor customer, as Australia's AI data centre market moves from planning to deployment.
Operators could use the new framework to spot faults faster, test changes safely and automate telecoms network decisions as complexity rises.
Editors facing EU transparency rules can now flag AI-made text, images and audio before publication, with fines possible for non-compliance.
Hundreds of attempted uploads were stopped as a regional investment bank moved to curb analysts' use of public AI tools for sensitive data.
It targets companies that have outgrown pilots, offering one accountable partner to scale AI safely across operations and modernise systems.
Criminals are increasingly using AI for ransomware and credential theft, while flaws in test models are exposing production systems and data.
Most AI projects stall because firms lack the standards and monitoring needed to keep models trustworthy, auditable and scalable in production.
Without trusted customer data, autonomous agents can misfire at machine speed, putting consent, offers and records at risk across Asia Pacific.
Autonomous systems are now creating fresh avenues for code theft, remote execution and runaway cloud spending, Mandiant says.
Enterprises face mounting risks from AI outages and hidden governance costs as Forrester says day-to-day operational needs now outrank frontier fears.
Australian firms face rising cyber risk, with 80% hit in the past year and only 2% confident their recovery plans can withstand frontier AI threats.
Engineering teams face a governance gap as AI agents begin handling production changes, prompting tighter controls over access, audits and permissions.
The consultancy aims to help customers turn fragmented data estates into governed AI systems that can move from pilot projects into production.
Growing alarm over AI safety has intensified after another former Google DeepMind engineer warned the technology could escape human control.
The model is already being piloted by customers as Salesforce pushes AI deeper into CRM workflows with fewer errors and more control.
Alert-led security teams risk falling behind as AI now needs to be built into the SOC's core to stop attacks earlier and preserve sovereignty.
The hire signals FIOR's push to win governments and big enterprises worried about control, resilience and security in autonomous AI systems.
Most US companies lack full trust in AI, with governance and accountability systems struggling to keep pace with adoption.