AI Monitoring (AIM) stories
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.
The tie-up gives enterprises a single policy layer to curb data leaks and compliance risks as AI workloads spread across clouds and models.
Customer service teams can now build and monitor AI agents more easily, with Zoom adding testing, quality controls and outcome-based pricing.
Enterprise users can now see credit spend by person, product and model, helping finance teams spot adoption trends and control costs more tightly.
Most enterprise AI use is slipping beyond oversight, with 86% of organisations lacking visibility into data moving to and from tools.
Most large US enterprises say AI agents are creating unmanaged financial and compliance risks, with many forced to reverse their actions.
The open-source release gives enterprises a single control layer for fragmented AI agent tools, with governance and cost controls built in.
AWS customers building AI agents gain policy enforcement and recovery tools as Rubrik extends its governance layer into Bedrock AgentCore.
HPE has expanded its self-driving networking strategy with new AI, security and data centre capabilities across enterprise environments.
The integrations aim to close security gaps as more firms run AI in production across gateways, APIs and models.
Despite productivity gains, workers are losing much of AI's time savings to checking, fixing errors and juggling multiple tools.
About 7% of monitored interactions raised security, compliance or operational concerns as enterprises deploy more autonomous AI into daily workflows.
Enterprise buyers are demanding proof of what AI agents do, as scrutiny rises over permissions, ownership and audit trails across organisations.
Rising AI failures are forcing firms to isolate response teams from the corporate network as incidents multiply across models and agents.
Governance failures have forced most Australian enterprises to pull back customer-facing AI agents, even as spending plans and deployments keep rising.
Poor visibility in a market that channels GBP £1.6 billion a year into smaller firms has prompted a new UK EIS data platform.
The real payoff will come from governed workflows, as executives move beyond pilots and turn AI into a measurable business capability.