All news with #aws tag

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 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.

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.

Real-Time Cloud Detection and Response from CrowdStrike

🚨 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.

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.

AWS and Google Cloud Launch Joint Multicloud Networking

🔗 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 and AWS Launch Managed Cross-Cloud Interconnect

🔗 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 adds native testing and simulation tools

🧪 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 adds no-code custom metric creation

📈 Amazon Connect now enables contact center supervisors to create custom metrics using a simple, no-code interface that applies mathematical operations (for example, addition, subtraction, sum, average) to existing Connect data. Nontechnical users can build tailored KPIs and immediately surface them in dashboards and via APIs without engineering support. Use cases include segmented average handle time, total agent outbound time by product, and queue performance filtered by contact type. The feature is available in all AWS regions offering Amazon Connect.

Amazon Connect Adds AI Agents for Enhanced Assistance

🤖 Amazon Connect now provides AI agents that guide customer service representatives by recommending actions, retrieving information, and executing routine tasks on their behalf. These agents analyze conversation context and customer sentiment in real time to prepare documentation, calculate refunds, and initiate processes such as product returns. Organizations can choose out-of-the-box agents or customize agent behavior and actions to align with business workflows. The automation reduces agent workload, improves consistency, and lets representatives focus on complex, high-value interactions.

Amazon Connect Adds AI Agent Analytics and Monitoring

📊 Amazon Connect now delivers built‑in analytics and monitoring for AI agents across self‑service and agent assist experiences. Administrators can use customizable dashboards to track key metrics such as number of AI‑led interactions, hand‑off rates, conversation turns, and average handle time, and to compare agent versions to find optimal configurations. The release also exposes AI agent traces via APIs and enables rule‑based automation to trigger alerts or actions when conditions like low sentiment transfers occur.

Amazon Connect adds AI-powered predictive insights (preview)

🤖 Amazon Connect has introduced AI-powered predictive insights in public preview, adding five recommendation algorithms to its Customer Profiles. The capabilities analyze interaction history and behavior to power suggestions across self-service and agent interactions, supporting cross-sell, complementary product suggestions, and intelligent product discovery. The preview is available in multiple AWS regions and uses pay-as-you-go pricing for utilized profiles.

Amazon Connect adds automated email responses and routing

📧 Amazon Connect now supports automated email responses and routing driven by keyword and phrase conditions. Administrators can add the Get stored content block and combine it with flow constructs such as Check contact attributes and Send message to configure automated replies and routing logic. For example, common queries about product availability or shipment status can be answered without agent involvement, helping increase self‑service, reduce manual handling time, and improve routing accuracy across supported regions.

Amazon Connect Chat Adds Agent-Initiated Workflows

🔔 Amazon Connect Chat now supports agent-initiated workflows, allowing agents to send interactive forms and present policies or disclosures directly within an active chat so customers can provide sensitive or general information without leaving the conversation. Agents can trigger workflows at any point, making interactions more dynamic and reducing resolution time. By keeping data collection inside the chat, businesses can better preserve security and compliance controls while improving customer experience. The capability is available now in multiple AWS regions.

Amazon Connect Adds AI-Powered Case Summaries for Agents

🤖 Amazon Connect now offers AI-powered case summaries that let agents generate concise, multi-interaction case overviews with a single click. Summaries capture issue background, actions taken, follow-ups, and recommended next steps to reduce manual wrap-up and speed resolutions. Administrators can configure custom prompts and guardrails to enforce organizational style and compliance.

Amazon Connect adds automated criteria for evaluations

🔍 Amazon Connect introduces configurable criteria to automatically select relevant contacts for performance evaluations, helping managers target specific interactions for review. Managers can specify attributes such as inbound contacts with no connectivity issues and agent department to trigger a chosen evaluation form. New metric-driven criteria — including agent call avoidance, contact handling efficiency, and audibility — can also automatically populate evaluation fields. This capability is available in all regions where Amazon Connect is offered.

Amazon Connect links related contacts to cases using flows

🔗 Amazon Connect now lets agents link related contacts — including email replies, call transfers, persistent chats, and queued callbacks — to an existing case using configurable flows. By enabling follow-up contacts to attach automatically, Amazon Connect Cases removes the need for custom logic or manual linking and helps present a unified customer journey to agents. The capability is available in multiple AWS regions; see the Amazon Connect Cases documentation to get started.

Amazon Connect adds Bedrock knowledge base integration

📘 Amazon Connect now supports connecting existing Amazon Bedrock Knowledge Bases directly to AI agents and allows multiple knowledge bases per agent. You can attach Bedrock KBs in a few clicks with no additional setup or data duplication, and leverage Bedrock connectors such as Adobe Experience Manager, Confluence, SharePoint, and OneDrive. With multiple KBs per agent, AI agents can query several sources in parallel for more comprehensive responses. This capability is available in all AWS Regions where both services are offered.

Amazon Connect Automated Evaluations for Self-Service

🔍 Amazon Connect now lets businesses automatically evaluate the quality of self-service interactions and surface aggregated insights to improve customer experience. Managers can define custom criteria and populate evaluations manually or automatically using conversational analytics and other Connect data to detect issues like repeated failures to understand customers, negative sentiment, or transfers to human agents. Insights are available in aggregate and at the individual contact level alongside recordings and transcripts to help identify opportunities to improve AI agent performance.

Amazon Connect Outbound Adds Multi-Channel Journey Builder

📣 Amazon Web Services has added a visual journey builder to Amazon Connect Outbound Campaigns, enabling creation of multi-step, multi-channel engagement journeys directly in the console. You can orchestrate voice, SMS, email, and WhatsApp interactions and combine time- or behavior-triggered flows. Integrations with existing Connect Flows, AI capabilities, and Customer Profiles let you personalize interactions and route customers to live agents when needed. The feature is available in all AWS Regions that support Outbound Campaigns.