All news in category “Vendor and Hyperscaler Watch”

🚀 Claude Fable 5 is now available in Microsoft Foundry, powering agents across GitHub Copilot and the Foundry Agent Service to tackle long-running, multi-stage tasks such as complex refactoring, research synthesis, and document-heavy workflows. Foundry adds enterprise-grade security, governance, and operational controls to help organizations evaluate, deploy, and scale autonomous systems in production. Anthropic and Microsoft combine safeguards, guided guardrails, and observability to support responsible use while enabling powerful multimodal reasoning and continuous agent improvement.

🤖 Microsoft has integrated Anthropic’s Claude Fable 5 into Foundry, bringing Mythos-level capabilities to GitHub Copilot and Foundry Agent Service with enterprise-grade safeguards. The model excels at long-running, multi-stage tasks—code refactors, deep research, and document-heavy workflows—while Foundry adds governance, observability, and deployment controls. Combined with Microsoft IQ, Fable 5 can reason across organizational data and applications to support production-grade autonomous agents.

🛡️ Google details how Google Security Operations pairs with Google AI Threat Defense to detect, investigate, and contain AI-accelerated attacks across cloud and enterprise environments. The post explains three specialized agents — Detection Engineering, Triage and Investigation, and Threat Hunting — that translate threat intelligence into custom detections, autonomously investigate alerts, and proactively hunt stealthy compromises. These agents use diverse telemetry, simulated events, and AI-driven automation to reduce time-to-detection and speed remediation, addressing gaps where patching is impossible or delayed.

🚀 GKE Inference Gateway uses prefix caching and model-aware routing to reduce accelerator idle time and speed up LLM inference. By matching request prefixes to pods that already hold the KV cache, it avoids repeated recomputation and lowers latency compared with naive round-robin load balancing. Independent benchmarks show 15.7% higher throughput, 92.8% faster time-to-first-token, and 62.6% lower inter-token latency. Snap reports 75–80% prefix cache hit rates in production integrations.

🔍 Storage Insights datasets now include activity insights that provide near-real-time visibility into object and bucket operations across your Google Cloud Storage estate. These BigQuery-linked views expose object-level writes, updates, deletes and errors, bucket-level aggregates and regional traffic patterns to support cost optimization and faster troubleshooting. The feature is generally available and customizable by org, folder, project, or specific buckets, enabling queries, Looker visualizations, and integration with other Storage Intelligence capabilities.

🔍 Today AWS announced the preview of AWS FinOps Agent, a frontier agent designed for FinOps practitioners and engineering teams to answer cost questions, surface optimization opportunities, and automate investigations of cost anomalies. The agent can generate cloud cost reports, surface rightsizing and Savings Plans recommendations from AWS Cost Optimization Hub and AWS Compute Optimizer, and create Jira tickets. It can post anomaly findings to Slack and run recurring FinOps workflows on a defined schedule. The preview is available in US East (N. Virginia) and covers cost and usage data from most Regions; it is offered at no additional charge during the preview.

🚀 AWS has launched general availability for metal-48xl and metal-96xl sizes across several M8 and R8 EC2 instance families powered by custom sixth-generation Intel Xeon Scalable processors and the latest AWS Nitro cards. These new sizes offer up to 43% better compute performance per vCPU over prior generations and deliver up to 600 Gbps network bandwidth or up to 300 Gbps EBS bandwidth depending on the variant. Selected sizes support Elastic Fabric Adapter (EFA) for lower latency in tightly coupled clusters and the metal sizes are initially available in the AWS US East (N. Virginia) region.

🚀 Amazon CloudWatch now accepts metrics via the OpenTelemetry Protocol (OTLP) and supports Prometheus Query Language (PromQL) for querying. You are billed per GB ingested, with 15 months of storage included. Custom OTel metrics and AWS-vended metrics across 70+ services are queryable together, and a Prometheus-compatible API enables integration with Grafana and other tools. EKS customers can enable Container Insights with OpenTelemetry from the console or via CloudFormation, CDK, or Helm.

🔒 AWS Backup now supports Amazon EKS in the AWS European Sovereign Cloud (Germany) Region, providing fully managed, policy-driven data protection and recovery for EKS clusters. The service includes automated scheduling, retention management, immutable vaults, and cross-Region and cross-account copies. Customers can protect entire clusters, namespaces, or individual persistent volumes without agents, replacing custom scripts or third-party tools.

🔒 The article argues that sovereignty in Europe demands verifiable control, not just contractual promises. It emphasizes integrity, accountability, and transparency, and describes the Sovereign Cortex with T Security — a partnership with Deutsche Telekom and Google Cloud — as a practical response. The post underscores placing meaningful control with trusted local partners and treating sovereignty as a design principle.

🚀 Amazon EMR Serverless now supports interactive sessions with Spark Connect, enabling development and execution of Apache Spark applications from managed notebooks like SageMaker Unified Studio and common IDEs such as Jupyter and Visual Studio Code. You can monitor and debug active and completed sessions in the EMR console and obtain granular cost and usage visibility for individual sessions. The Spark Connect client-server model keeps your development environment decoupled from the Spark driver, enabling ad hoc exploration, iterative debugging, and incremental PySpark development. Spark Connect support is available in EMR release 7.13 in all regions where EMR Serverless is offered, with the SageMaker experience in supported regions.

🔍 AWS Cost Explorer introduces Analyze with Amazon Q, enabling one-click, contextual cost explanations for any configured report. Amazon Q Developer provides analysis of cost trends, top drivers, anomalies, and optimization suggestions using your exact filters and time period. The feature adapts explanations to historical, forecast, or mixed-date views and supports follow-up questions while preserving conversation context. It is available in all commercial AWS Regions at no additional charge.

🛡️ We’re adding Knostic’s AgentMesh to VirusTotal’s Crowdsourced AI lineup to analyze Visual Studio Code extension (.VSIX) files. This integration complements Code Insight and other AI contributors to help developers, platform engineers, and security teams assess extension security and detect supply-chain threats prior to installation. The collaboration highlights the growing importance of securing IDE extensions.

🔒 Apple announced at WWDC 2026 an Apple Intelligence-powered capability that can automatically detect and update weak, duplicate, or compromised passwords in Safari and the built-in Passwords app. The feature, arriving with iOS 27, uses on-device and Private Cloud Compute foundation models co-developed with Google to perform agentic actions that update eligible accounts to strong credentials. Apple emphasizes privacy-first design, saying personal data handled in the cloud is not stored or accessible to Apple.

🛡️ This monthly AWS Security Blog digest highlights May 2026 posts on AI security, network protection, identity management, compliance guides, and supply chain defense. It summarizes new capabilities, hands-on samples, and workshops that demonstrate practical controls — from Cedar-based policy for agentic AI to URL category filtering in Network Firewall and post-quantum readiness checks.

🔍 AWS Compute Optimizer now detects idle resources for Amazon DynamoDB provisioned tables, Amazon ElastiCache (Redis and Valkey), Amazon MemoryDB, Amazon DocumentDB (provisioned and serverless), Amazon WorkSpaces, and Amazon SageMaker endpoints. It analyzes utilization metrics over a configurable lookback period and evaluates service-specific signals like consumed capacity, cache hits, active connections, and CPU utilization. Recommendations include detailed utilization metrics and estimated savings, viewable in the console and in the Cost Optimization Hub across AWS Organizations.

🚀 Amazon MSK Express Brokers now support automatic topic creation for Kafka Streams, removing the need to manually pre-create topics for stateful operations. This enhancement lets customers deploy Kafka Streams applications on Express Brokers without additional setup, simplifying operational workflows. The capability is available today in all regions where MSK Express Brokers are offered and requires no extra configuration to start using.

🆕 Amazon DocumentDB now supports engine minor versions, beginning with 5.0.1, adding new aggregation operators ($rand, $pow, $dateToParts, $dateFromParts), an active connections metric, and granular command-level performance metrics in CloudWatch. You can specify 5.0.1 when creating clusters or upgrade existing 5.0.0 clusters via the Console or AWS CLI. Upgrades are one-way; moving from 5.0.0 LTS to 5.0.1 exits the LTS track, so remain on LTS if you prioritise minimal upgrades.

🔍 Amazon CloudWatch Logs Insights now supports 23 new query commands and functions to enhance log querying, parsing, transformation, and analysis. The update adds hash functions (md5, sha256), string and conversion utilities (strcontains, split, toNumber, toInt), IP utilities (ipv4ToNumber, isPrivateIP), analytics functions (rate, count_over_time, histogram), and expanded parsing capabilities (parse CSV, XML, multi). Queries can now use “limit any N” and up to 10 stats commands, and these features are available in all commercial AWS Regions.

📈 AWS announces target coverage analysis in Savings Plans Purchase Analyzer, a feature in AWS Billing and Cost Management that helps plan Savings Plans purchases against a chosen coverage percentage. The analyzer uses historical usage to recommend purchase amounts and supports customization like custom lookback periods and excluding expiring Savings Plans. Users can compare estimated cost, coverage, utilization, and savings across targets and view recommendations via interactive charts or the Purchase Analyzer API.