Google Cloud stories
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 ranking could help Google win enterprise AI contracts as buyers demand secure, governed tools rather than standalone chatbots.
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.
Security teams can now spot hidden AI workloads in live Kubernetes clusters, as Google's new tool also creates immutable ML bills of materials.
Carmakers could cut warranty costs and breakdowns as the open-source system unifies telemetry, maintenance and service data in one stack.
A single benchmark score may be hiding sharp failures when users phrase data queries more vaguely, Google Cloud says.
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.
Access to Google Cloud's code-optimisation agent now expands after early tests showed gains in forecasting, routing, chip design and research.
Customers running databases and analytics can now tap higher network and storage throughput, as Google Cloud makes its C4N machines generally available.
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.
The ranking boosts Google Cloud's bid to win more AI infrastructure spend as firms look for cheaper, scalable systems for training and inference.
Banks and insurers face tighter resilience checks as four cloud providers come under joint UK supervision for the first time.
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.