Google Cloud Platform (GCP) stories
Kotlin developers can now tap Gemini models in Android and server-side apps through a single package that supports streaming, images and live sessions.
Enterprises could cut the manual work of linking AI and cloud systems as Equinix readies a managed service built on an open standard.
Security teams can now trace blocked cloud requests faster, as Google Cloud rolls out policy intelligence for VPC Service Controls to cut investigation time.
Enterprises will be able to place AI inference nearer to users and data, while Equinix tackles the networking sprawl across clouds and sites.
Customers in five cities gain backup Azure routes designed to keep AI and critical enterprise workloads online if one link fails.
The new tools aim to curb prompt injection, data leakage and rogue AI activity as firms deploy agents with wider system access.
Data engineers may cut weeks of workflow setup as the open-source kit lets Airflow pipelines be built and monitored from an IDE.
The tie-ups give customers more choice over where security data is processed, while easing procurement for joint CrowdStrike and Snowflake users.
Persistent AI agents can now run for up to seven days on Google Cloud Run instances, with fixed endpoints and no autoscaling.
Law firms can now query governed case files and precedent in Gemini Enterprise without creating risky copies of sensitive records.
The consultancy says workflow redesign, not tool access, helped triple AI engagement and cut database incident resolution times by 80%.
Enterprises facing AI demand spikes are being told to secure spare capacity and automate backups to avoid outages and overspending.
Fault testing aims to cut outage risk for cloud users as Google Cloud previews a tool that simulates failures before customers are hit.
AI agents could gain governed access to reusable context as bundles are indexed alongside tables and files, under Google Cloud's new model.
Companies can now cap AI spend in Gemini Enterprise as Google adds usage-based billing to curb waste and keep agent projects on budget.
The experimental setup lets AI teams run untrusted model code in isolated Ray clusters on Google Kubernetes Engine without exposing host containers.
Financial professionals will soon be able to query Morningstar and PitchBook data inside Google Cloud's Gemini Enterprise for Financial Services.
Automated service mapping and near-instant cost modelling aim to cut migration planning from weeks to minutes for cloud users weighing data centre exits.
The move should reduce congestion risk and cut the cost of shifting data-heavy workloads as Uber expands its migration to Google Cloud.
Legal teams could tap governed case files and precedent inside Gemini Enterprise for Legal, reducing compliance risks from copied data.