Google Cloud Platform (GCP) stories
As firms shift to autonomous AI agents, new guardrails aim to curb prompt injection and data leaks across Google Cloud deployments.
Banks must move beyond isolated pilots if they want agentic AI to deliver enterprise-wide gains, Google Cloud says.
The new tools could cut analysts’ manual threat-response work from days to minutes as Google Cloud pushes SecOps towards an autonomous SOC.
Platform teams can trim Kubernetes cloud bills by up to 70% without surrendering control, using recommendations before fixes are applied.
Customers gain broader visibility into AI risks as Wiz adds cloud, edge and coding-tool coverage, with Red Agent now in public preview.
Enterprises could query lakehouse data without moving it, as the database firm adds managed deployment, Arm processors and AI tools on Google Cloud.
The expanded tie-up aims to automate telecoms, retail and IT workflows while giving enterprises tighter oversight of AI agents across both platforms.
More than 175,000 customers could see faster service as EcoVadis rolls out Gemini Enterprise tools to automate internal work and boost productivity.
Estimators could save hours on preconstruction bids as AI turns digital plans into structured measurements in seconds.
Businesses using Gemini Enterprise can now keep AI answers aligned with approved data and rules, reducing errors in finance, operations and compliance.
Customers can keep existing workflows as web application and API protection moves inside Google Cloud, reducing latency and operational overhead.
Engineering teams can now keep decisions, fixes and costs in one place as CodeRabbit brings its AI agent into Slack.
More than 300 AI agents are now cutting turnaround times, routine HR queries and maintenance delays across the steelmaker’s global operations.
Customers in regulated sectors can now keep security data in-region as CrowdStrike brings real-time cloud threat detection to Google Cloud.
Security teams gain deeper visibility into AI agent behaviour as Exabeam extends monitoring across Google Cloud tools and workflows.
Enterprises using autonomous AI agents could get tighter controls as the tie-up adds governance and live monitoring to Google Cloud deployments.
It will help large customers move AI agents from pilots to production on Google Cloud, as adoption of enterprise generative tools slows.
Enterprises may soon design data systems for AI agents rather than staff, as Google Cloud adds real-time context, automation and cross-cloud access.
The rollout aims to help businesses run autonomous AI agents more securely, while easing data, networking and sovereignty constraints.
Customers will soon get faster, cheaper AI training and inference as Google Cloud adds new TPUs, GPU instances and networking.
