Google Cloud Platform (GCP) stories
The new workflow could cut model migration from months to hours, easing the testing burden for businesses running multiple AI features.
Defenders could gain a faster edge against AI-driven attacks as Google Cloud ties Gemini, Wiz, CodeMender and Mandiant into one platform.
The move could help organisations curb cloud admin account abuse by revoking elevated access automatically after approved sessions end.
Developers can now improve Chinese, Japanese and Korean search in AlloyDB without external tokenisers, cutting preprocessing overhead for PostgreSQL users.
Security and staffing gaps are slowing enterprise rollouts, with networking now emerging as a key bottleneck for agentic AI projects.
The move could help IT teams track staff use, audit access and compliance risks across large Gemini Enterprise roll-outs without bespoke tools.
Exposed serverless apps can let attackers steal tokens, read secrets and take over cloud projects if weak code is left unpatched.
The update gives enterprises managed access to Anthropic's models with built-in failover, data residency and compliance controls for production AI use.
The move expands its cloud delivery network in Asia-Pacific as demand for AI and transformation projects drives hiring for engineers.
Most fixable flaws in live AI cloud systems are still exposed, with Orca finding 99.9% remain unpatched across major platforms.
Developers can now isolate AI-generated code and user scripts inside Cloud Run, reducing the risk of exposing credentials or host data.
Developers can now run accelerator-heavy AI workloads on managed GKE Autopilot without handling node setup or low-level network allocation.
A 24-hour failure at a key Amazon Web Services region could wipe out GBP £1 billion in revenue for exposed UK companies, the report says.
Most organisations must upgrade their systems to run agentic AI in production, as cloud costs, governance and energy use climb.
The controls are helping network teams filter routes, steer traffic and preserve appliance state without third-party virtual networking tools.
Enterprises can now buy and register third-party AI agents through Google Cloud Marketplace for use inside Gemini Enterprise.
Demand for production-ready AI agents is pushing Google to reframe Cloud Run as a platform for long-running, data-driven workloads.
As fleets of autonomous agents move into daily use, teams are wrestling with crashes, credentials and recovery that model demos never cover.
Yet only 8% of investors in Singapore said AI drove their last major decision, underscoring demand for human validation.
The top ranking signals growing demand for university AI that can manage sensitive data, automate admin work and scale across campus systems.