AI observability stories
Only 8% of organisations have agentic AI in production, highlighting the governance gap Harness aims to close with its new tools.
Governance features aim to help security teams prove AI controls to boards and regulators as shadow AI and agentic risks spread.
The deal targets demand for governed, self-service AI environments as operators seek to turn GB200 hardware into usable services.
Rising demand for AI security helped Saviynt top USD $300 million in annual recurring revenue as enterprises seek control over non-human identities.
The release aims to help teams catch failures earlier as AI takes a larger role in coding, operations and incident response.
Enterprise demand for AI projects is driving Acceldata to expand in Europe, as firms seek sovereignty controls without lengthy data migrations.
The expanded deal aims to help customers ground AI in their own data while easing governance and cost concerns across Microsoft tools.
Security teams face higher breach costs as ThreatDown expands visibility over unsanctioned AI tools and machine accounts in one console.
The restructure puts sales and customer delivery under new leaders as enterprise buyers demand stronger governance, support and reliability from AI agents.
Growing pressure on software teams to govern AI output and costs has prompted IBM to add multi-agent tools and analytics to Bob.
Engineering teams from Nine, Xero and Canva will show how real-time data tools are being used to support AI and observability in production.
Enterprise buyers are demanding clearer returns and tighter controls as global AI spending is forecast to jump to USD $64 billion in 2026.
Businesses are being warned that rushed AI rollouts can waste spend and add risk unless teams define clear goals and checks first.
Governance concerns are rising as companies embed AI deeper into critical workflows, from factory floors to defence operations and customer service.
The move could help IT teams track staff use, audit access and compliance risks across large Gemini Enterprise roll-outs without bespoke tools.
Governance gaps are emerging as enterprises push autonomous AI from pilots into real-time edge systems across Asia-Pacific.
AI and cloud teams are turning to observability tools as Datadog claims Gartner's top execution ranking for the sixth straight year.
The ranking underscores rising demand for observability tools as AI workloads add strain to increasingly complex production systems.
ServiceNow customers now have a limited first year to decide how to deploy its AI oversight tools before broader access expires.
As AI moves into production, firms are struggling to track access, costs and policy compliance across agents and workflows.