All news in category “Vendor and Hyperscaler Watch”

🔒 Kaspersky has released a major update to Kaspersky Embedded Systems Security, targeting the unique risks of legacy and resource-constrained devices. The Windows edition introduces a behavioral analysis engine plus Automatic Exploit Prevention, Anti-Cryptor, a Remediation Engine, BadUSB protection, a firewall, and a security status indicator. The Linux edition adds certificate-based allowlisting and Web Threat Protection to simplify safe updates and guard web-enabled embedded devices. Planned Q1 2026 improvements include MDR integration, BadUSB for Linux, and ARM support.

🔍 Google Cloud has extended VPC Flow Logs to cover Cloud VPN tunnels and VLAN attachments for Cloud Interconnect and Cross-Cloud Interconnect, giving operators fuller visibility into hybrid and cross-cloud traffic. New gateway annotations (reporter and gateway object) add directional context and gateway metadata while logs retain 5-tuple granularity for precise flow identification. Use these logs to find elephant flows, audit Shared VPC hybrid bandwidth, validate DSCP markings, and troubleshoot on-prem-to-cloud connectivity. Logs integrate with Flow Analyzer for in-context analysis, connectivity tests, and natural-language queries.

☁️ Azure announces networking enhancements focused on security, resiliency, and AI-scale infrastructure. The update highlights zone-redundant NAT Gateway V2, expanded throughput options including ExpressRoute 400G and higher-performance VPN gateways, and advanced security features such as DNS Security Policy with Threat Intel and JWT validation in Application Gateway. Improvements to AKS container networking, Private Link Direct Connect, and Virtual WAN forced tunneling aim to simplify secure hybrid and AI deployments.

⚠️ Microsoft has announced that WINS will be unsupported after the lifecycle of Windows Server 2025 on the LTSC channel, creating an effective sunset in 2034. The deprecated NetBIOS-era name service, long superseded by DNS, remains in place in many environments, especially industrial and OT systems. Administrators are urged to inventory dependencies, plan migrations to DNS, or isolate legacy workloads to reduce security and operational risk.

🔍 AWS Transform for mainframe adds data and activity analysis to extract detailed insights that drive the reimagining of legacy applications. The update provides automated code and data-structure analysis, activity analysis, technical documentation generation, business logic extraction, and intelligent code decomposition. An AI-powered chat interface lets users build flexible job plans—from full modernization workflows to analysis- or business-logic-focused jobs—so teams can prioritize and execute modernization more efficiently.

🔧 AWS Transform expands its .NET modernization agent into a full-stack Windows modernization agent that automates transformation of .NET applications and Microsoft SQL Server databases to Amazon Aurora PostgreSQL and deploys them to containers on Amazon ECS or Amazon EC2 Linux. The agent scans SQL Server instances in EC2 or RDS and .NET code in GitHub, GitLab, Bitbucket, or Azure Repos to produce editable modernization plans. It updates Entity Framework and ADO.NET data access code, migrates schemas and data, commits transformed code to a new branch, and supports supervised validation and deployment. Available in US East (N. Virginia).

🔍 AWS announced new AWS Transform for mainframe reimagine capabilities that add data and activity analysis, business logic extraction, and intelligent code decomposition to support migration to cloud-native architectures. The service provides a comprehensive reverse-engineering workflow including automated code and data structure analysis and technical documentation generation. An AI-powered chat interface lets users choose predefined job plans—full modernization, analysis focus, or business-logic focus—or compose custom workflows. These capabilities are available today in multiple AWS Regions including N. Virginia, Mumbai, Seoul, Sydney, Tokyo, Canada (Central), Frankfurt, and London.

🧪 AWS Transform for mainframe now introduces integrated test planning and automation to accelerate and de-risk modernization projects. The release includes automated test plan generation, test data collection scripts, and test case automation to stage environments, run functional tests, and validate results against expected outcomes. These tools reduce upfront planning and execution effort, cut dependency on scarce mainframe expertise, and support continuous delivery and regression testing. The new testing capabilities are available today in multiple AWS Regions.

🔧 AWS Transform is now generally available with expanded .NET modernization features that let customers convert .NET Framework and .NET code to .NET 10 or .NET Standard. New capabilities include automated UI porting from ASP.NET Web Forms to Blazor on ASP.NET Core and Entity Framework ORM porting. An enhanced IDE workflow via the AWS Toolkit for Visual Studio 2026 or 2022 provides an editable transformation plan, real‑time progress, repeatable iterations, detailed logs, and a Next Steps markdown for AI code companions.

🚀 AWS Transform Custom is now generally available, offering an agentic AI service to accelerate organization-wide code and application modernization at scale. The service automates repeatable transformations—version upgrades, runtime migrations, framework transitions, and language translations—often reducing execution time by over 80% while removing the need for specialist automation expertise. It provides out-of-the-box transformations for Python, Node.js, Lambda, AWS SDK updates, and Java 8→17, and supports custom transformation definitions using natural language, reference documents, and code samples. Teams can run autonomous transformations with a one-line CLI command, embed them into pipelines, and benefit from an agent that continuously learns from developer feedback and execution results. AWS Transform Custom is available in the US East (N. Virginia) region.

🚀 AWS Transform adds agentic AI capabilities to automate enterprise-scale VMware migrations, collaborating with migration teams to plan and move hundreds of applications and thousands of servers. The agent discovers on-prem environments using built-in discovery, third-party inventories, and unstructured data, maps dependencies, and generates prioritized migration waves. It also produces network designs, IP management options, multi-account deployment configurations, and supports diverse sources and targets while providing iterative progress updates and approval-ready reports.

🚨 CrowdStrike announced new cloud detection and response capabilities aimed at reducing mean time to respond (MTTR) and improving protection across hybrid and multi-cloud environments. The release highlights two headline features: Real‑Time Cloud Detections in Falcon Cloud Security and Automated Cloud Response Actions. CrowdStrike says streaming detections, an expanded library of real‑time IOAs and Falcon Fusion SOAR workflows — augmented by its agentic AI Charlotte AI — enable faster, cross‑domain triage and control‑plane remediation.

🔒 CrowdStrike and AWS announced new integrations and consumption options to accelerate cloud security operations. Falcon Next‑Gen SIEM correlates AWS telemetry with endpoints, identities, and third‑party telemetry, offering out‑of‑the‑box dashboards, embedded AI, and over 200 CloudTrail correlation rules. A Quick Start, Amazon Athena federated search, and pay‑as‑you‑go pricing in the AWS Marketplace are intended to speed onboarding, lower storage costs, and simplify investigations.

🔗 AWS and Google Cloud announced a jointly engineered multicloud networking solution that integrates AWS Interconnect - multicloud with Google Cloud’s Cross-Cloud Interconnect. The collaboration introduces an open API specification to automate private, high-speed connectivity and shifts multicloud setup from physical circuits to a managed, cloud-native experience. Customers can provision dedicated bandwidth in minutes via console or API, while the service enforces quad redundancy and MACsec encryption for secure, highly available links. The APIs are published openly for other providers and partners to adopt.

🔗 Google Cloud and Amazon Web Services have jointly previewed the Cross‑Cloud Interconnect for AWS, a managed, on‑demand service that provisions private, secure connections between Google Cloud VPCs and AWS VPCs in minutes. The collaboration is published under an open specification to enable partner contributions and wider industry adoption. Preview bandwidth begins at 1 Gbps and will scale to 100 Gbps at GA, with MACsec encryption and managed key rotation as default security controls. The offering emphasizes simplicity, quad‑redundancy, and managed operations to reduce setup from days to minutes.

🧪 Amazon Connect now includes native testing and simulation capabilities that let teams validate contact center workflows, voice self-service, and business conditions with just a few clicks. You can configure caller identity, customer profile, intent (for example “I need to check my order status”), expected responses, and scenarios such as after-hours or full queues. Tests return pass/fail outcomes, execution paths, and detailed logs, and multiple tests can run concurrently to accelerate validation at scale.

🔧 Amazon Connect now enables business users to create and use custom UIs to adjust queues, routing, and customer-experience settings in real time without technical resources. Administrators can define key configurations in data tables and expose role-specific actions through persona-based workspaces to maintain governance and security. These capabilities are available in all AWS regions where Amazon Connect is offered.

🧪 Amazon Connect now provides native testing and simulation capabilities that let contact center teams validate workflows, self-service voice interactions, and outcomes in a few clicks. You can configure test parameters such as caller phone number or customer profile, call intent, expected responses, and business conditions like after-hours or full queues. Tests run concurrently at scale and return pass/fail results with the interaction path and detailed logs to accelerate diagnosis and reduce deployment risk.

🔒 Amazon Connect now intercepts chat messages before delivery to enable automatic sensitive-data redaction and custom message processing. The built-in redaction detects entities such as credit card and social security numbers across multiple language variants and can replace them with generic or entity-specific placeholders (e.g., [PII] or [NAME]). Businesses can also integrate custom processors for translation, profanity filtering, or other transformations to meet compliance and CX needs. The feature is available in multiple AWS regions.

💬 Amazon Connect now streams AI chat messages as they're generated, presenting progressive responses and status prompts such as 'One moment while I review your account.' This reduces perceived wait times and reassures customers that an AI agent is actively reasoning, invoking tools, and composing answers. The feature is available in ten AWS regions and can be integrated into existing contact flows and front-end components to improve conversational transparency and responsiveness.