Cloud Storage stories
The upgrade gives enterprise users a live workspace for visual tasks, cutting back-and-forth in Gemini Enterprise while keeping edits synced.
Systems that polled AOMEI's update servers at the wrong moment could have pulled malicious files in the brief April-to-July tampering window.
Developers can now provision object, analytics and vector storage from Vercel without leaving the platform, with AWS billing unchanged.
Enterprises are increasingly prioritising governance, security and integration as they move AI agents beyond pilots and into production systems.
Firms face greater risk of exposed footage unless they keep surveillance video and AI analytics on site, Synology says.
Only 16% of respondents said their most significant data loss incident was blocked before data left, highlighting gaps in DLP controls as AI use grows.
BigQuery users could cut data movement and pipeline lag as Google Cloud adds federated access to Iceberg tables in Databricks, Snowflake and AWS.
New payments data can now be pushed from raw logs into a fraud review queue each day, using Google Cloud services and Airflow.
Many managed service providers are watching backup revenue slip as hidden cloud fees and vendor price changes squeeze storage margins.
Businesses can query data across rival clouds without moving it into Google Cloud first, as the preview aims to speed AI agents and cut duplication.
Finance teams can now reconcile millions of invoices in BigQuery without code, as Alteryx keeps PDFs in Google Cloud Storage and flags duplicates.
Active data makes up just 4.4% of enterprise storage, raising costs, security exposure and AI search quality concerns for firms.
The new software aims to curb token waste and improve answer quality as enterprises connect AI models to sprawling, unstructured file stores.
Nearly all surveyed organisations in Australia had an AI tool accessing sensitive data beyond its remit, exposing weak real-time controls.
The hire is aimed at speeding Nile's push to simplify enterprise networking as AI deployments raise demands for security and resilience.
Customers can now refresh test environments with recent production data in separate AWS accounts while keeping control of encryption and audit trails.
Many firms still lack the controls to trace or halt AI agents, leaving unauthorised API calls and data changes to go unnoticed for hours or days.
The tie-up could help small firms spot cash-flow risks and growth opportunities faster, while keeping owners in control of any action.
Almost all surveyed firms had AI rules on paper, but 98.8% reported tools or agents accessing sensitive data beyond their intended scope.
Businesses could reduce storage bills as CTERA's new tool flags inactive files for archiving while keeping them available for AI and analytics.