All news with #agentic ai tag

Amazon Nova Act: Automate Production UI Workflows at Scale

🚀 AWS announced general availability of Amazon Nova Act, a service for building and managing fleets of reliable agents that automate production UI workflows. Powered by a custom Nova 2 Lite model, Nova Act can complete repetitive browser tasks, call APIs or tools, and escalate to human supervisors when needed. Developers can combine natural language with deterministic Python, prototype in the online playground, refine scripts with the Nova Act IDE extension, and deploy to AWS quickly. Nova Act is available today in US East (N. Virginia).

AWS announces Amazon Nova 2 models in Amazon Bedrock

🤖AWS has introduced Amazon Nova 2, a next-generation family of foundation models now available in Amazon Bedrock. The release includes Nova 2 Lite, optimized for fast, cost-effective reasoning for everyday workloads, and Nova 2 Pro (Preview), designed for complex, multistep tasks. Both models support step-by-step reasoning, three thinking intensity levels, built-in tools such as code interpreter and web grounding, remote MCP tool support, and a one-million-token context window. Nova 2 Lite supports supervised fine-tuning on Bedrock and SageMaker; full fine-tuning is available on SageMaker. Nova 2 Pro is available in preview for Amazon Nova Forge customers with global cross-region inference.

AWS Debuts DevOps Agent Preview for Operational Excellence

🔧 AWS announced the preview of AWS DevOps Agent, a frontier agent designed to investigate incidents and proactively prevent outages across AWS, multicloud, and hybrid environments. The agent autonomously triages alerts, correlates telemetry, code, and deployment data, and guides teams to faster resolution to reduce MTTR. During preview it is available at no additional cost in US East (N. Virginia).

Mistral Large 3 and Ministral 3 Now on Amazon Bedrock

🚀 Amazon Bedrock now offers Mistral Large 3 and the Ministral 3 family alongside additional Mistral AI checkpoints, giving customers early access to open-weight multimodal models. Mistral Large 3 employs a granular Mixture-of-Experts architecture with 41B active and 675B total parameters and supports a 256K context window for long-form comprehension and agentic workflows. The Ministral 3 series (14B, 8B, 3B) plus Voxtral and Magistral small models let developers choose scales optimized for production assistants, RAG systems, single-GPU edge deployment, or low-resource environments.

AWS Support transforms support with AI-driven plans

🤖 AWS Support has restructured its support portfolio into three AI-driven plans: Business Support+, Enterprise Support, and Unified Operations. Each tier layers faster response times, proactive guidance, and AI-assisted operations while combining generative AI with AWS engineering expertise. Highlights include 24/7 contextual AI assistance, designated TAMs, integrated security incident response, and the preview AWS DevOps Agent for one-click context sharing and proactive incident prevention. These plans are available in all commercial AWS Regions.

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 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.

Key Questions CISOs Must Ask About AI-Powered Security

🔒 CISOs face rising threats as adversaries weaponize AI — from deepfakes and sophisticated phishing to prompt-injection attacks and data leakage via unsanctioned tools. Vendors and startups are rapidly embedding AI into detection, triage, automation, and agentic capabilities; IBM’s 2025 report found broad AI deployment cut recovery time by 80 days and reduced breach costs by $1.9M. Before engaging vendors, security leaders must assess attack surface expansion, data protection, integration, metrics, workforce impact, and vendor trustworthiness.

CrowdStrike Leverages NVIDIA Nemotron on Amazon Bedrock

🔐 CrowdStrike integrates NVIDIA Nemotron via Amazon Bedrock to advance agentic security across the Falcon platform, enabling defenders to reason and act autonomously at scale. Falcon Fusion SOAR leverages Nemotron for adaptive, context-aware playbooks that prioritize alerts, understand relationships, and execute complex responses. Charlotte AI AgentWorks uses Bedrock-delivered models to create task-specific agents with real-time environmental awareness. The serverless Bedrock architecture reduces infrastructure overhead while preserving governance and analyst controls.

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 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.

Agentic AI Browsers: New Threats to Enterprise Security

🚨 The emergence of agentic AI browsers converts the browser from a passive viewer into an autonomous digital agent that can act on users' behalf. To perform tasks—booking travel, filling forms, executing payments—these agents must hold session cookies, saved credentials, and payment data, creating an unprecedented attack surface. The piece cites OpenAI's ChatGPT Atlas as an example and warns that prompt injection and the resulting authenticated exfiltration can bypass conventional MFA and network controls. Recommended mitigations include auditing endpoints for shadow AI browsers, enforcing allow/block lists for sensitive resources, and augmenting native protections with third-party browser security and anti-phishing layers.

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 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.

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.

Amazon Connect adds agentic self-service with Nova Sonic

🤖 Amazon Connect introduces agentic self-service capabilities that enable AI agents to understand, reason, and take action across voice and messaging channels to automate routine and complex customer-service tasks. Nova Sonic speech models deliver more natural, expressive, and adaptive voice interactions that respond to customer tone, sentiment, and pacing across languages and accents. The feature supports blending deterministic and agentic experiences, automating tasks like order lookup, refunds, and troubleshooting while allowing escalation to live agents and is commercially available in US East (N. Virginia) and US West (Oregon) in English and Spanish, with previews for French, Italian, and German.

Amazon Connect Adds MCP Support for AI Agents and Tools

🤖 Amazon Connect now supports the Model Context Protocol (MCP), enabling AI-driven customer self-service and employee assistance agents to invoke standardized tools to fetch information and perform actions during interactions. Amazon Connect offers out-of-the-box MCP tools for tasks like updating contact attributes and retrieving case information, and allows flow modules to be exposed as MCP tools so business logic is reusable across deterministic and generative workflows. Organizations can also integrate custom or third-party tools via flow modules or the Amazon Bedrock AgentCore Gateway to automate actions such as order lookups, refunds, and customer-record updates without human intervention.

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.

AWS Expands AI Competency with New Agentic AI Categories

🚀 AWS announced a major expansion of its AI Competency, validating 60 partners across three new Agentic AI categories: Agentic AI Tools, Agentic AI Applications, and Agentic AI Consulting Services. The launch includes an AI agent in AWS Partner Central to provide immediate feedback and speed specialization approvals. Validated partners demonstrate production-grade capabilities using services such as Amazon Bedrock AgentCore, Strands Agents, and Amazon SageMaker AI, and must meet AWS standards for security, reliability, and responsible AI.