All news in category "Vendor and Hyperscaler Watch"

Bedrock AgentCore Runtime Adds Bi-Directional Streaming

🔁 Amazon Bedrock AgentCore Runtime now supports bi-directional streaming, enabling real-time, continuous conversations where agents listen and respond simultaneously and handle interruptions or context shifts mid-turn. This removes stop-start friction in voice and text agents and preserves context across exchanges. Built into AgentCore Runtime, the capability reduces months of engineering work required to implement streaming infrastructure, letting developers focus on agent experiences rather than plumbing. Available in nine AWS Regions with consumption-based pricing.

Amazon SageMaker AI Adds Serverless MLflow Support

🧠 Amazon SageMaker AI now offers a serverless MLflow capability that automatically scales to support experiment tracking and model development without infrastructure setup. The service scales up for demanding workloads and scales down during idle periods, reducing operational overhead. Administrators can enable cross-account access via Resource Access Manager (RAM). The feature integrates with SageMaker AI JumpStart, Model Registry, and Pipelines and is offered at no additional charge in select AWS Regions.

Amazon SageMaker Catalog Exports Asset Metadata to Iceberg

🔍 Amazon SageMaker Catalog now exports asset metadata as an Apache Iceberg table via Amazon S3 Tables, enabling teams to query catalog inventory with standard SQL without building custom ETL. The export includes technical fields (resource_id, resource_type), business metadata (asset_name, business_description), ownership details, and timestamps, partitioned by snapshot_date for time travel queries. The dataset appears in SageMaker Unified Studio and is queryable from Amazon Athena, Studio notebooks, AI agents, and BI tools. Available in all supported Regions at no additional SageMaker charge; you pay for S3 Tables storage and Athena queries.

CloudWatch AgentCore Evaluations: Automated AI Agent Quality

🧭 Amazon CloudWatch now offers AgentCore Evaluations, an automated capability for assessing AI agent quality using real-world interactions. The feature includes 13 pre-built evaluators that measure dimensions such as helpfulness, tool selection, and response accuracy, and it also supports custom model-based scoring. Teams can access unified quality metrics, agent telemetry, and end-to-end traces in CloudWatch dashboards to correlate evaluations with prompts, logs, and traces for faster diagnosis and improvement.

Amazon API Gateway Adds MCP Proxy for Agent Integration

🤖 Amazon API Gateway now supports the Model Context Protocol (MCP) via a proxy, enabling organizations to expose existing REST APIs to AI agents and MCP clients without modifying their applications. Integrated with Amazon Bedrock AgentCore's Gateway, the feature performs protocol translation, indexes APIs for semantic tool discovery, and eliminates the need to host additional intermediary infrastructure. It also enforces dual authentication to verify agent identities for inbound requests while managing secure outbound connections to REST endpoints. The capability is available in nine AWS Regions and follows Amazon Bedrock AgentCore pricing.

AWS launches EC2 X8aedz memory-optimized instances

🚀 AWS announced the new Amazon EC2 X8aedz memory-optimized instances powered by 5th Gen AMD EPYC processors (Turin), offering up to 5 GHz peak CPU frequency and up to 2× compute performance versus X2iezn. Targeted at electronic design automation (EDA) workloads and relational databases that benefit from high single-thread performance and large memory footprints, X8aedz provides a 32:1 memory-to-vCPU ratio, local NVMe storage up to 8 TB, and sizes from 2 to 96 vCPUs including two bare-metal options. Instances are available in US West (Oregon) and Asia Pacific (Tokyo) and can be purchased via On‑Demand, Spot, or Savings Plans.

NETSCOUT Omnis Wins Overall Network Security Award

🔍 NETSCOUT’s Omnis Cyber Intelligence was named “Overall Network Security Solution of the Year” in the ninth annual CyberSecurity Breakthrough Awards. The platform delivers always-on, packet-based visibility using scalable deep packet inspection to continuously capture, analyze, and retain high-fidelity network metadata. Its on-sensor storage minimizes data movement and helps address compliance and sovereignty requirements while providing the historical context analysts need to investigate threats across cloud and on-premises environments.

Network Still Serves as First Line: Investigation Is Key

🔍 Recent ESG research finds that many organizations still turn to the network first for threat detection: 53% cite network visibility as their primary defense and 93% of SecOps and NetOps now share visibility tools. Packets offer an unaltered record of communications, making modern NDR essential across hybrid and multicloud environments. Detection is only the first step; full packet capture and deep network intelligence enable thorough investigation. NETSCOUT Omnis Cyber Intelligence unifies visibility and delivers packet-level context to reduce blind spots and accelerate response.

Kaspersky Enhances Embedded Systems Security for 2025

🔒 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.

VPC Flow Logs for Cross-Cloud VPN and Interconnect

🔍 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 Networking: Security, Resilience, and AI-scale

☁️ 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 sets 2034 deadline to retire WINS support

⚠️ 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 Adds Reimagine Capabilities for Mainframe

🔍 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 gains data and activity analysis for mainframe

🔍 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 AI Agent for Full-Stack Windows Modernization

🔧 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 Transform Custom GA: Agentic AI for Code Modernization

🚀 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 Expands .NET Modernization and Developer UX

🔧 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 adds automated testing for mainframe

🧪 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 adds agentic AI for VMware migrations

🚀 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.

Falcon Next-Gen SIEM: Simplifying AWS Security Operations

🔒 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.