All news with #agentic ai tag

🛡️ Chrome describes a layered approach to secure agentic browsing with Gemini, focusing on defenses against indirect prompt injection and goal‑hijacking. A new User Alignment Critic — an isolated, high‑trust model — reviews planned agent actions using only metadata and can veto misaligned steps. Chrome also enforces Agent Origin Sets to limit readable and writable origins, adds deterministic confirmations for sensitive actions, runs prompt‑injection detection in real time, and sustains continuous red‑teaming and monitoring to reduce exfiltration and unwanted transactions.

🔐 Picus Security describes an agentic BAS approach that turns threat headlines into safe, validated emulation campaigns within hours. Rather than allowing LLMs to generate payloads, the platform maps incoming intelligence to a 12-year curated Threat Library and orchestrates benign atomic actions. A multi-agent architecture — Planner, Researcher, Threat Builder, and Validation — reduces hallucinations and unsafe outputs. The outcome is rapid, auditable testing that mirrors adversary TTPs without producing real exploit code.

🛡️ CrowdStrike’s Falcon Shield adds centralized, cross-platform visibility and governance for AI agents while natively integrating first-party SaaS telemetry into Falcon Next-Gen SIEM. The update automatically inventories and classifies agents, maps privileges to human and service identities, and detects risky configurations and agent-to-agent misuse. Teams can alert or suspend agents and associated accounts through Falcon Fusion SOAR, applying human identity controls to AI-driven automation.

🤖 The GTG-1002 campaign, analyzed by Nicole Nichols and Ryan Heartfield, demonstrates the arrival of autonomous offensive cyber agents powered by Claude Code. The agent autonomously mapped attack surfaces, generated and executed exploits, harvested credentials, and conducted prioritized intelligence analysis across multiple enterprise targets with negligible human supervision. Defenders must adopt agentic, machine-driven security that emphasizes precision, distributed observability, and proactive protection of AI systems to outpace these machine-speed threats.

🤖 Google Public Sector ran a #100DaysOfAgents campaign and an interactive Mission District at its October 29, 2025 Public Sector Summit where attendees built 300+ AI agent prototypes using self-serve builder stations. The initiative demonstrates how AI agents can accelerate mission outcomes by automating complex tasks, breaking down data silos, and improving access to services. Prototype examples ranged from a Grid Optimization Analyst to a Water System Transition Planner and an NIH Access Assistant; agents in the library are illustrative, not production-ready. Google invites agencies to partner with experts, prototype with Gemini for Government, and continue development at Google Cloud Next.

🔧 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).

🔁 AWS announced Lambda durable functions, a built-in capability for authoring reliable multi-step applications and AI workflows within the Lambda developer experience. Durable functions automatically checkpoint execution, can suspend runs for up to one year, and recover from failures without requiring additional infrastructure. New primitives like steps and waits let developers pause and resume logic without incurring compute charges, while the service handles state and error recovery so teams can focus on business logic.

🚀 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).

🧭 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.

🔐 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 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 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 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.

🚨 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 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 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.