All news with #agentic ai tag

🚀 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.

🚨 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 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 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 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.

🚀 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.

🔎 AWS Marketplace introduced Agent mode and AI-enhanced search to speed solution discovery across 30,000+ listings. Agent mode provides a conversational procurement assistant that ingests use cases and uploaded requirements to deliver tailored recommendations and dynamic side-by-side comparisons. Users can refine results through dialogue, generate downloadable purchasing proposals, and initiate purchases directly. AI-enhanced search supplies contextual results with AI-generated summaries, adaptive categories, and AWS Specializations badges to spotlight validated partners.

🤖 AWS has launched the AWS AI League 2026 Championship, expanding its flagship AI tournament with new challenge tracks and a doubled prize pool of $50,000 to drive builder innovation. The program pairs a brief orientation with two competition tracks: a Model Customization track using Amazon SageMaker AI to fine-tune foundation models for domain-specific tasks, and an Agentic AI track using Amazon Bedrock AgentCore to build planning and execution agents. Enterprises can apply to host internal tournaments and receive AWS credits to run team competitions, while individual developers can compete at AWS Summits to test skills and build with AWS AI services.

🔧 The AWS MCP Server is now in preview and offers a managed remote Model Context Protocol (MCP) interface that consolidates the prior AWS API MCP and AWS Knowledge servers into a single endpoint. It enables AI agents and AI-native IDEs to access AWS documentation, generate and execute calls to over 15,000 APIs, and follow pre-built Agent SOPs to perform multi-step tasks. Authentication and authorization use AWS IAM, and audit logging is provided via CloudTrail; the service is available at no additional cost in US East (N. Virginia), with customers paying only for resources and data transfer.

🤖 Agentic AI is emerging as a practical accelerator for security teams, automating detection, triage, remediation and routine operations to improve speed and scale. Security leaders at Zoom, Dell, Palo Alto and others highlight its ability to reduce alert fatigue, augment SOCs and act as a force multiplier amid persistent skills shortages. Implementations emphasize augmentation over replacement, enabling continuous monitoring and faster, more consistent responses.

🛡️In 2026 Palo Alto Networks forecasts a shift to the Year of the Defender as enterprises counter AI-driven threats with AI-enabled defenses. The report outlines six predictions — identity deepfakes, autonomous agents as insider threats, data poisoning, executive legal exposure, accelerated quantum urgency, and the browser as an AI workspace. It urges autonomy with control, unified DSPM/AI‑SPM platforms, and crypto agility to secure the AI economy.

🛡️ Microsoft Defender Experts outlines how autonomous AI agents are transforming Security Operations Centers by automating repetitive triage and amplifying analyst impact. Built with expert-defined guardrails, curated test sets, and human-in-the-loop validation, these agents already process about 75% of phishing and malware cases and help resolve incidents nearly 72% faster. The program emphasizes human governance, auditability, and iterative rollout through dark-mode evaluation and pilot partnerships.

🎧 In Episode 78 of The AI Fix, hosts Graham Cluley and Mark Stockley examine a string of headline-grabbing AI stories, from a fact-checked “robot spider” scare to Anthropic’s claim of catching an autonomous AI cyber-spy. The discussion covers Claude hallucinations, alleged state-backed misuse of US AI models, and concerns about AI-driven military systems and investor exuberance. The episode also questions whether the current AI boom is a bubble, while highlighting real-world examples like AI-generated music charting and pilots controlling drone wingmen.

🔎 Amazon Web Services has introduced Agentic Search for OpenSearch Service, an agent-driven layer that interprets natural-language intent, orchestrates search tools, and generates OpenSearch DSL queries while providing transparent summaries of its decision process. The built-in QueryPlanningTool uses LLMs to plan and emit DSL, removing the need for manual query syntax. Two agent types are available: conversational agents with memory and flow agents optimized for throughput. Administrators can configure agents via APIs or OpenSearch Dashboards, and Agentic Search is supported on OpenSearch Service version 3.3+ across AWS Commercial and GovCloud regions.

🚨 Trend Micro warns agentic AI will increasingly automate attacks next year, with state-backed actors leading innovation before cybercriminals adopt the approach. Researchers say agentic systems — capable of taking autonomous actions — could chain discovery, exploitation and persistence steps, enabling less-skilled operators to run complex intrusions. The firm urges defenders to treat agents as privileged users and apply least-privilege, monitoring and assume-breach practices.

🚀 Claude Opus 4.5 is now available in public preview in Microsoft Foundry, aiming to shift models from assistants to agentic collaborators that execute multi-tool workflows and support complex engineering tasks. Anthropic and Microsoft highlight Opus 4.5’s strengthened coding, vision, and reasoning capabilities alongside improved safety and prompt-injection robustness. Foundry adds developer features like Programmatic Tool Calling, Tool Search, Effort Parameter (Beta), and Compaction Control to help teams build deterministic, long-running agents while keeping centralized governance and observability.

🚀 Anthropic's Claude Opus 4.5 is now generally available on Vertex AI, delivering frontier performance for coding, agents, vision, and office automation at roughly one-third the cost of Opus 4.1. The model introduces advanced agentic tool use—programmatic tool calling (including direct Python execution) and dynamic tool search—plus expanded memory and a 1M-token context window to support long, multi-step tasks. On Vertex AI, Opus 4.5 is offered as a Model-as-a-Service on Google's high-performance infrastructure with prompt caching, efficient batch predictions, provisioned throughput, and enterprise-grade controls for deployment. Organizations can leverage the Agent Builder stack (ADK, A2A, and Agent Engine) and Google Cloud security controls, including Model Armor and Security Command Center protections, to accelerate production agents while managing cost and risk.

🔍 AWS Security Incident Response now offers an agentic AI investigative capability that automatically gathers, correlates, and summarizes evidence across AWS data sources. The investigative agent assesses new cases, asks submitters clarifying questions for missing indicators or timeframes, and collects logs from AWS CloudTrail, AWS Identity and Access Management (IAM), Amazon EC2, and AWS Cost Explorer. Findings are presented as clear, actionable summaries, and the feature is enabled automatically at no extra cost in supported Regions.

🤖 AWS introduces the Agentic AI Security Scoping Matrix to help organizations secure autonomous, tool-enabled AI agents. The framework defines four architectural scopes—from no agency to full agency—and maps escalating security controls across six dimensions, including identity, data/memory, auditability, agent controls, policy perimeters, and orchestration. It advocates progressive deployment, layered defenses, continuous monitoring, and retained human oversight to mitigate risks as autonomy increases.

🤖 Amazon SageMaker Data Agent is a built-in AI agent in the new notebook experience that accelerates analytics and ML development. It translates natural-language prompts into detailed execution plans and generates SQL and Python code, while staying aware of notebook context and data catalog metadata. Available in multiple AWS regions, it speeds common tasks like data transformation, statistical analysis, and model prototyping.