All news with #agentic ai tag

🏥 Microsoft and UiPath describe how integrated agents from Azure AI Foundry and UiPath, orchestrated by UiPath Maestro, can operationalize AI within clinical workflows to surface and act on incidental radiology findings. The workflow uses UiPath medical record summarization agents to flag findings, Azure AI Foundry imaging agents to analyze PACS images and prior results, and UiPath agents to aggregate and forward consolidated follow-up reports to ordering clinicians. Microsoft says this agentic approach accelerates decision-making, reduces physician workload, and improves outcomes while maintaining compliance with DICOMweb and FHIR standards.

🚀 Vertex AI Agent Builder is Google Cloud's integrated platform to build, scale, and govern production AI agents. The update expands the Agent Development Kit (ADK) and Agent Engine with configurable context layers to reduce token usage, an adaptable plugins framework, and new language SDK support including Go. Production features include observability, evaluation tools, simplified deployment via the ADK CLI, and strengthened governance with native agent identities and Model Armor protections.

🧭 This guide summarizes Multi-Agent System (MAS) fundamentals and explains how Google’s Agent Development Kit (ADK) helps developers assemble cooperating agents to solve complex tasks. It outlines three agent roles — LLM Agents for reasoning, Workflow Agents for orchestration, and Custom Agents for bespoke logic — and describes hierarchical organization and orchestration patterns (sequential, parallel, loop). The post also reviews communication options (shared state, LLM delegation, explicit invocation) and points developers to samples and codelabs for rapid prototyping.

🤖 CrowdStrike announced new specialized agents and an orchestration layer designed to accelerate SOC operations and automation. The launch includes a Data Onboarding Agent, a Foundry App Creation Agent, and an updated Exposure Prioritization Agent to simplify pipeline creation, app development, and continuous authenticated scanning. Integrated with Charlotte Agentic SOAR and Charlotte AI, these agents enable coordinated, machine-speed workflows while keeping analysts in control.

🚀 CrowdStrike introduces Charlotte Agentic SOAR, an orchestration layer that integrates Falcon Fusion SOAR, Falcon Next‑Gen SIEM, Charlotte AI and AgentWorks to enable intelligent, no‑code agents. The offering includes an Agentic Security Workforce of purpose-built AI agents, an Agent Builder for plain-language agent creation, a visual workflow orchestrator with hundreds of connectors, and unified case management. Together these elements let analysts set guardrails while agents reason, decide, and act at machine speed to accelerate detection and response and reduce repetitive analyst tasks.

🤝 Getting an enterprise-grade generative AI platform in place is a milestone, not the finish line. Sustained, distributed adoption comes from embedding AI into everyday processes through an organized AI champions network that brings enablement close to the work. Champions act as multipliers — translating strategy into team behaviors, surfacing blockers and use cases, and accelerating normalized use. With structured onboarding, rotating membership, monthly working sessions, and direct ties to the core AI program, the network converts tool access into measurable business impact.

🛍️ Google Cloud outlines UX and implementation guidance for building conversational AI agents tailored to online shopping. The article presents seven practical design principles — including multimodal input, intelligent query handling, rich visual presentation, and clear trust signals — that improve discovery and reduce friction. It highlights features like predictive assistance and contextual clarification and offers a Figma component library plus developer resources to accelerate deployment.

🛡️ OpenAI has introduced Aardvark, a GPT-5-powered autonomous agent designed to scan, reason about, and patch code with the judgment of a human security researcher. Announced in private beta, Aardvark maps repositories, builds contextual threat models, continuously monitors commits, and validates exploitability in sandboxed environments before reporting findings. When vulnerabilities are confirmed, it proposes fixes via Codex and re-analyzes patches to avoid regressions. OpenAI reports a 92% detection rate in benchmark tests and has already identified real-world flaws in open-source projects, including ten issues assigned CVE identifiers.

🔒 Unit42 researchers Jay Chen and Royce Lu describe agent session smuggling, a technique where a malicious AI agent exploits stateful A2A sessions to inject hidden, multi‑turn instructions into a victim agent. By hiding intermediate interactions in session history, an attacker can perform context poisoning, exfiltrate sensitive data, or trigger unauthorized tool actions while presenting only the expected final response to users. The authors present two PoCs (using Google's ADK) showing sensitive information leakage and unauthorized trades, and recommend layered defenses including human‑in‑the‑loop approvals, cryptographic AgentCards, and context‑grounding checks.

🤖 Agentic AI burst into prominence with promises of streamlining operations and accelerating productivity. This Special Report assesses what's practical versus hype, examining the current state of agentic AI, the primary deployment challenges organizations face, and practical lessons from real-world success stories. It highlights business processes suited to agentic agents, criteria for evaluating development tools, and how LinkedIn built a platform. The report also outlines near-term expectations and adoption risks.

🔐 Aembit today announced Aembit Identity and Access Management (IAM) for Agentic AI, introducing Blended Identity and the MCP Identity Gateway to assign cryptographically verified identities and ephemeral credentials to AI agents. The solution extends the Aembit Workload IAM Platform to enforce runtime policies, apply least-privilege access, and maintain centralized audit trails for agent and human actions. Designed for cloud, on‑premises, and SaaS environments, it records every access decision and preserves attribution across autonomous and human-driven workflows.

🤖 AWS Marketplace now offers flexible pricing and simplified deployment for AI agents and tools, including contract-based and usage-based options for Amazon Bedrock AgentCore Runtime containers. The update also streamlines OAuth credential management via Quick Launch for API-based agents and allows supported remote MCP servers procured through Marketplace to be used as MCP targets on AgentCore Gateway. These enhancements reduce deployment complexity and give partners more pricing flexibility while improving scalability for customers.

🔐 This post proposes a lightweight, crowd-curated registry for bots and agents to simplify discovery of public keys used for cryptographic Web Bot Auth signatures. It describes a simple list format of URLs that point to signature-agent cards—extended JWKS entries containing operator metadata and keys—and shows how registries enable origins and CDNs to validate agent signatures at scale. Examples and a demo integration illustrate practical adoption.

🚀 At GitHub Universe 2025, Microsoft and GitHub presented a vision for agentic development that lets developers see, steer, and build across autonomous agents. The event introduced platform capabilities like Agent HQ, a prompt-first AI Toolkit for VS Code, and the GA release of Azure MCP Server. Announcements focused on enterprise-grade security, standards-based integration, and faster, more intuitive agent creation and governance.

🤖 AWS announced an open-source AI agent context package for AWS IoT Greengrass that provides ready-to-use instructions, examples, and templates to accelerate edge device application development. The package is published on GitHub under the Creative Commons Attribution Share Alike 4.0 license and is designed to integrate with generative AI tools such as Amazon Q. Developers can clone the repository to jumpstart creation, testing, and fleet-wide deployment workflows across supported Regions.

⚠ Researchers report a new form of context-poisoning called AI-targeted cloaking that serves different content to agentic browsers and AI crawlers. SPLX shows attackers can use a trivial user-agent check to deliver alternate pages to crawlers from ChatGPT and Perplexity, turning retrieved content into manipulated ground truth. The technique mirrors search engine cloaking but targets AI overviews and autonomous reasoning, creating a potent misinformation vector. A concurrent hTAG analysis also found many agents execute risky actions with minimal safeguards, amplifying potential harm.

🔒 BeyondTrust's 2026 predictions argue that the next major breaches will stem from unmanaged identity debt rather than simple phishing. The report highlights three identity-driven threats: agentic AI acting as privileged deputies vulnerable to prompt manipulation, automated "account poisoning" in financial systems, and long-dormant "ghost" identities surfacing in legacy IAM. The authors recommend an identity-first posture with strict least-privilege, context-aware controls, real-time auditing, and stronger identity governance.

🔔 At the Google Public Sector Summit in Washington D.C., leaders highlighted a shift toward agentic AI and large-scale cloud modernization. Google introduced Gemini for Government, an accredited platform providing an AI Agent Gallery, agent-to-agent protocols, enterprise connectors, and governance controls to deploy and monitor AI agents. Speakers showcased real-world deployments across defense, city, and education sectors, and Google announced expanded partner investments plus an enhanced partnership with NVIDIA to support on-premises and air-gapped environments.

🛡️ Organizations face an identity crisis as generative AI and vast troves of breached personal data enable realistic digital doppelgangers. Attackers now automate hyper-personalized phishing, smishing and vishing, clone voices, and run coordinated multi-channel campaigns that reference real colleagues and recent projects. The article urges a shift to “never trust, always verify,” with radical visibility, rapid detection and phishing-resistant authentication such as FIDO2. It also warns of emerging agentic AI and recommends strict least-privilege controls plus continuous red-teaming.

🔐 Agentic AI is presented as a practical cybersecurity capability that can operate without direct human supervision, handling high-volume, time-sensitive tasks at machine speed. Industry leaders from Zoom to Dell Technologies and Deloitte highlight seven priority use cases — from autonomous threat detection and SOC augmentation to real-time zero‑trust enforcement — that capitalize on AI's scale and speed. The technology aims to reduce alert fatigue, accelerate mitigation, and free human teams for strategic work.