All news in category “Vendor and Hyperscaler Watch”

🔍 AWS Transform now provides a model-to-model migration custom transformation that evaluates generative AI workloads and generates a migration plan to Amazon Bedrock. The agent scans codebases to identify AI SDKs and models, collects migration requirements interactively, and maps models to Bedrock equivalents with cost comparisons and production-ready code changes. It preserves application architecture while recommending routing, caching, and Bedrock integrations for secure, consolidated deployment.

🔍 Amazon S3 Vectors now returns up to 10,000 similarity search results per query, a 100x increase from the prior limit. This larger topK helps applications retrieve a more comprehensive candidate set for multi-stage pipelines that perform reranking, aggregations, or deduplication. Use the latest AWS SDK and specify up to 10,000 results in QueryVectors; results are paginated so you can process the first page while additional pages are fetched. A small data-returned fee applies beyond the free 512 KB per query.

🛡️ Amazon Bedrock Guardrails now includes Automated Reasoning checks that use formal verification to mathematically validate AI model outputs. This capability targets hallucinations, policy violations, and ambiguous responses to improve trust and compliance. Available in Asia Pacific (Sydney), it complements existing regional availability and is accessible via the Amazon Bedrock console and SDK.

🔍 AWS Transform for mainframe now provides a connected, traceable reimagine workflow that takes organizations from portfolio assessment through code generation. The service identifies discrete business functions in z/OS COBOL and PL/I workloads, generates development-ready requirements, and produces traceable cloud-native code. Integrations with IDEs such as Kiro via MCP enable requirements and code to flow directly into developer environments with full auditability.

🛡️ Google has been named a Leader in the 2026 IDC MarketScape for Worldwide SIEM, reflecting investments in Google Security Operations that combine Mandiant expertise, automation, and integrated AI agents. The report highlights strengths such as agentic alert triage, vertical AI integration with Gemini, curated Mandiant detection content mapped to MITRE ATT&CK, and high-performance search over large data volumes. These capabilities aim to reduce analyst workload and accelerate detection and response.

🔐 AWS Sign-in now supports resource-based policies and resource control policies (RCPs) for the AWS Management Console. These policies let administrators restrict console sign-in to expected networks and are evaluated during sign-in and when the console session requests new credentials. Resource-based policies target individual AWS accounts while RCPs apply organization-wide via AWS Organizations. Administrators can combine these controls with AWS Management Console Private Access to manage allowed sign-in networks and account access across their environment.

🚀 Amazon Redshift has made RG instances, powered by AWS Graviton processors, generally available in Africa (Cape Town), Asia Pacific (Bangkok), and Mexico (Central). These Graviton-based instances deliver up to 4.2X better price-performance for data warehouse workloads, run up to 2.4x faster than prior RA3 instances, and cost 30% less per vCPU. Customers can provision rg.xlarge and rg.4xlarge nodes, upgrade from RA3, and benefit from built-in savings including incremental snapshot metering by unique data blocks and elimination of Redshift Spectrum scanning charges.

🔍 Google is updating Looker Explore with integrated AI assistants and a refreshed interface to help users surface insights faster. The release includes ad hoc Quick Starts powered by Gemini models, a Conversational Analytics-powered Insight Assistant for natural-language prompts, and automatic translation of user descriptions into Looker Expression syntax. The UI improvements include a resizable field picker, contextual data table menus, visual pivots, and a redesigned Merge Query workflow with smart joins and higher row limits.

📌 This blog explains a structured approach to enterprise storage migration using Microsoft tools. It emphasizes planning, assessment, and choosing the right migration path based on data volume, connectivity, and downtime tolerance. Key solutions covered include Azure Migrate, Azure Storage Mover, Azure Data Box, and a preview Azure Copilot Migration Agent. The post illustrates phased strategies, real customer examples, and guidance for regulated and AI use cases.

🔧 Google announces Brazos, a rack-mounted, closed-loop liquid-to-air cooling solution designed to enable high-density AI and HPC gear within traditional air-cooled data centers. Brazos separates the internal IT liquid loop from facility water, enabling one-rack-at-a-time deployment and avoiding costly chilled-water retrofits. The modular design features three cooling units, integrated rack manifolds, and hot-swappable FRUs for field serviceability, and it fits OCP ORv3 form-factor racks. Google plans to open-source Brazos specifications and encourage industry adoption through forums like the Open Compute Project.

🚀 AWS announces the public preview of AWS Blocks, an open-source TypeScript framework that provides backend capabilities without requiring developers to learn infrastructure tools. It runs a fully functional local environment with Postgres, authentication, and real-time messaging with no AWS account required, and the same code can be deployed to production AWS services with zero changes. Developers can also drop into AWS CDK at any time for direct resource configuration, and AWS Blocks supports SPA and SSR frameworks at preview.

🔗 Amazon Quick now connects to 16 additional tools including Adobe, Figma, WhatsApp, Snowflake, and Smartsheet, enabling teams to act on insights without switching context. The new connectors span productivity, design, analytics, financial intelligence, commerce, and communication, so teams can build cross-tool workflows inside Quick. Integrations are available in all AWS Regions where Amazon Quick is offered.

🔒 Palo Alto Networks and Databricks announce an integrated runtime security solution to protect agentic AI across the enterprise. The partnership embeds Prisma AIRS into the Databricks Unity AI Gateway to provide centralized governance, real-time inspection, and policy-driven enforcement for prompts, tool calls, and model interactions. This approach aims to prevent prompt injections, data exfiltration, and malicious tool usage while enabling faster, secure AI deployments.

📣 Cloudflare has made DMARC Management generally available and free for customers, offering a redesigned dashboard to simplify the path to full DMARC enforcement. The tool unifies visibility into SPF, DKIM, DMARC, and BIMI, surfaces sending source IPs, and integrates Cloudflare threat intelligence for investigation. It provides automated record analysis with pass/warning/fail statuses and plain-language recommendations, plus an SPF lookup audit to reveal and resolve the 10-lookup limit. DMARC Management requires Cloudflare DNS and is enabled from Email > DMARC Management in the dashboard.

🤖 Starting today, AWS Partner Central agents qualify every co-sell opportunity in real time and make actionable recommendations to accelerate AWS engagement and deal progression. Building on agents released March 16, 2026, the agent can act on the partner's behalf via conversation to enrich opportunity details, removing manual review delays. Each opportunity now receives an Opportunity Quality Score and is matched to a co-sell motion—AWS field-engaged, Agent-engaged, or Partner-led—with the score and motion recalculated in real time as recommendations are applied.

🤖 AWS Marketplace introduces AI-assisted product listing within the Partner Assistant chat to help Independent Software Vendors (ISVs) and Consulting Partners create optimized product listings using existing digital assets. The assistant imports content from websites, PDFs, case studies, and documentation, then generates, validates, and formats listing fields to meet AWS Marketplace requirements and improve search discoverability. Field-level recommendations and a quality score help partners align listings with best practices. Available via AWS Partner Central, the AWS Marketplace Management Portal, and programmatically through the Partner Agent MCP server; not available in AWS GovCloud (US) or China Regions.

🔒 Chainguard has launched Athena, an industry coalition announced on June 16 to protect open-source software from attacks facilitated by frontier AI models. Founding members include BNY, Cisco, Cloudflare, Docker, JPMorganChase, PwC and others. Athena pools vulnerability findings into a shared platform, applies private patches and provides mitigations to members before public disclosure. The initiative aims to coordinate upstream fixes and partner with the Linux Foundation for broader incident response support.

🛠️ Amazon RDS for SQL Server introduces memory-optimized X2m instances based on EC2 X2iedn. These instances deliver up to 64 vCPUs, 4 TB memory, 256K IOPS and a 32:1 memory-to-vCPU ratio while providing the Amazon RDS Optimize CPU feature to reduce SQL Server licensing by 50% or more for memory-intensive workloads. X2m instances are available via the RDS Console, AWS SDK, or CLI, support On-Demand pricing and qualify for the AWS Database Savings Plan; refer to Amazon RDS for SQL Server Pricing for specifics.

🚀 Amazon Web Services announces that S3 Vectors now reduces data-processed query charges by up to 80% for vector indexes containing more than 10 million vectors. This price improvement automatically applies with no changes required to customer applications and targets similarity search workloads used in AI, RAG, and semantic search scenarios. The reduction is effective today across all Regions where S3 Vectors is available, while AWS still recommends distributing vectors across multiple indexes for better query performance.

🔍 At Google Cloud, collaboration with customers guided a technical sprint in January 2026 with a major telecommunications partner to refine Model Armor, the runtime security service for generative AI. By embedding with the customer's developers and security teams, the Google Cloud Developer Advocacy group observed real-world workflows and identified friction points such as search-first documentation needs, tuning confidence levels to avoid false positives, clearer enforcement guidance, and IAM-related 403 errors during integrations. The team translated these findings into tested code samples, a confidence level matrix, explicit integration guides for Apigee, Gemini Enterprise Agent Platform, and GKE, and deeper technical documentation to improve operational utility and reduce deployment friction.