AI Monitoring (AIM) stories
The launch could help firms move AI projects past pilot stage by turning existing integrations into governed tools for agents without rebuilding them.
The platform aims to help large firms monitor and control autonomous AI as regulation tightens and deployments move into production.
It gives IT teams a way to track agent activity, enforce access rules and watch AI spending as deployments move beyond pilots.
Gaps in oversight leave most firms unable to see what AI is doing inside mobile apps, despite broad adoption and formal governance policies.
Enterprises face rising costs and governance gaps as thousands of AI agents begin operating alongside staff across multiple systems.
More than half of engineering teams are now using AI to write code, but weak oversight is leaving security, dependency and performance risks in production.
More firms are using AI daily, but AvePoint found unauthorised access incidents remain widespread as governance trails behind adoption.
The funding will help banks and insurers automate lending, claims and onboarding while keeping AI decisions auditable and compliant.
Marketers are increasingly worried that AI answer engines are shaping first impressions before customers reach their websites.
It could cut customer service AI deployment from weeks to hours, while keeping human approval and oversight before agents go live.
Four in 10 US workers admit using AI to create bogus expense receipts, highlighting growing fraud and oversight risks for employers.
Governance gaps are leaving firms exposed, with only 19% meeting the readiness bar as AI-related infrastructure incidents spread across organisations.
Rising AI data volumes are forcing observability vendors to rethink pricing and storage as Tsuga wins fresh backing to keep telemetry in-house.
Enterprise security teams could gain faster defences as Cato Networks folds OpenAI's cyber tools into workflows to tackle newly disclosed flaws.
Many companies are deploying autonomous software faster than they can govern it, leaving thousands of agents able to act without approval.
Security teams are being offered new tools to track shadow AI and block prompt injection as enterprises rush to deploy agents and models.
Security teams can now map shadow AI use in hours, as the free tier shows prompts, users and risk across popular tools.
Companies under pressure to govern AI and share sensitive data could use proof-based controls without replacing existing cloud systems.
More than half of Singapore respondents lacked full visibility of employee AI use, heightening fears over shadow tools, data leaks and breaches.
The Canadian asset manager will use Bloomberg's MAC3 to spot hidden risks and unintended exposures across equities, bonds and alternatives.