AI Monitoring (AIM) stories
Faster agentic AI adoption is forcing tighter oversight, with new controls on permissions, monitoring and cyber-risk systems.
New controls and tests are being added as agentic AI systems spread, with Microsoft warning that risks now span tools, data and users.
The consultancy says workflow redesign, not tool access, helped triple AI engagement and cut database incident resolution times by 80%.
Businesses could slash AI spending as Glean says its desktop workspace used 81% fewer tokens than Claude Cowork in tests.
Rising AI deployments are helping drive broader platform use, with most customers now buying several Grafana products and costs falling.
Rogue behaviour in testing has heightened fears that autonomous tools are being handed sensitive systems without proper oversight or limits.
AI rollouts are pushing SRE and platform teams to monitor models, manage incidents and fill governance gaps in production.
It is aimed at firms that want AI agents to update records and trigger workflows without losing oversight or audit trails.
Security teams could gain clearer incident evidence as ClickHouse brings its trace data expertise to AI agent forensics alongside NVIDIA.
IT teams can now track AI models on Apple fleets to curb data leaks and token spend as businesses wrestle with shadow AI.
Organisations seeking tighter data control can now route AI workloads through a governed layer that spans seven Northern European markets.
The certification gives clients a formal benchmark on AI governance as scrutiny rises over how systems are built, monitored and deployed.
Only 5% of eligible workers are using generative AI well enough to boost productivity, according to NROC Security's latest quarterly study.
Fans were spared buffering as Seven used New Relic to scale 7plus Sport for AFL demand and meet strict geotargeting rules.
Enterprises can now keep AI workloads and sensitive data on the same private cloud, as Broadcom adds governance and security controls.
Local hosting in Sydney eases compliance worries for Australian firms using AI tools that may expose prompts, code and credentials.
Enterprises face a growing oversight gap, as Omnissa says 75% of managed devices carry unsanctioned AI tools before policies catch up.
Enterprise buyers are weighing governance and auditability more heavily as the AI vendor secures top marks across five analyst categories.
Most IT teams are finding AI in service management costs more in training, data cleanup and upkeep than they expected.
Australian knowledge workers are spending 6.5 hours a week on AI oversight, with the hidden burden linked to burnout and higher churn risk.