Google Cloud stories
Legal teams could tap governed case files and precedent inside Gemini Enterprise for Legal, reducing compliance risks from copied data.
Small firms using the app can now automate tax set-asides and invoice checks as banks race to curb fraud and cut admin.
More than 10,000 Wipro specialists will gain access as the wider partnership aims to move Google Cloud's AI from pilots into daily enterprise workflows.
Strong demand for its Falcon platform and AI security tools helped CrowdStrike lift full-year guidance after record quarterly ARR growth.
Banks can now use Google's new AI tools for regulated research and risk work, with audit trails and controlled data access in preview.
The experimental setup lets AI teams run untrusted model code in isolated Ray clusters on Google Kubernetes Engine without exposing host containers.
Law firms and in-house legal teams gain a preview tool for contract review, research and redaction, with client data kept private.
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.
Security gaps are slowing business adoption of AI agents, as most technology leaders warn that governance and access controls lag behind their autonomy.
The appointment comes as Akamai seeks to deepen local ties in Australia and New Zealand, where customers are combining cloud, security and AI spending.
As attackers use AI to speed up phishing and malware, companies are being told that multi-factor authentication and patching matter more than ever.
The guidance could help firms curb AI costs, protect sensitive data and reduce the risk of errors spreading through agent chains.
Enterprises can now give developers the coding agent via Google Cloud controls, with pooled budgets, audit logs and IDE support included.
The preview could let AI search systems handle far larger datasets with p95 latency of 51 milliseconds or less at more than 10 billion vectors.
The preview aims to reduce the risk of intercepted keys being cracked later by quantum computers, especially in bring your own key deployments.
The recognition underlines Google Cloud's push to keep developers on one platform as enterprises move AI agents from prototypes into production.
Startups risk leaked keys, quota throttling and surprise bills unless they tighten controls as AI prototypes move into production.
Spark teams risk higher bills or slower jobs unless they tune serverless settings, Google Cloud says, as it adds AI help for failures.
The serverless catalog could ease a bottleneck for large Spark workloads by moving Hive table metadata without copying underlying data.
