All news with #agentic ai tag

🛡️ 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.

🤖 Microsoft introduced two new Microsoft 365 Copilot agents, App Builder and Workflows, to help employees create apps and automate tasks using their Microsoft 365 data. Users can describe requirements in natural language and Copilot will generate interactive elements or automated flows across Outlook, Teams, SharePoint, Planner and other services. Outputs are integrated with the Copilot experience and protected by enterprise-grade security and role-based access controls. App Builder will be added to the Agent Store this week, while Workflows is already available to customers enrolled in the Frontier program.

🤖 GitHub announced Agent HQ, a unified platform that makes coding agents native to the GitHub workflow. Over the coming months, partner agents from OpenAI, Anthropic, Google, Cognition, and xAI will become available as part of paid Copilot subscriptions. The release introduces a cross‑surface mission control, VS Code planning and customizable AGENTS.md files, and an enterprise control plane with governance, metrics, and code‑quality tooling to manage agent-driven work.

🚀 GitHub introduced Agent HQ, a native platform that centralizes AI agents within the GitHub workflow. The initiative will bring partner coding agents from OpenAI, Anthropic, Google, Cognition, and xAI into Copilot subscriptions and VS Code. A unified "mission control" offers a consistent command center across GitHub, VS Code, mobile, and the CLI. Enterprise-grade controls, code quality tooling, and a Copilot metrics dashboard provide governance and visibility for teams.

🤖 Agent HQ integrates AI agents directly into the GitHub workflow, making third-party coding assistants available through paid Copilot subscriptions. It introduces a cross-surface mission control to assign, steer, and track agents from GitHub, VS Code, mobile, and the CLI. VS Code additions include Plan Mode, AGENTS.md for custom agent rules, and an MCP Registry to discover partner servers. Enterprise features add governance, audit logging, branch CI controls, and a Copilot metrics dashboard.

🔐 Google Cloud outlines a pragmatic framework to secure the emerging agentic web while preserving smooth user experiences. The post details how reCAPTCHA and Google Cloud combine agent and user identity, continuous behavior analysis, and AI-resistant mitigations such as mobile-device attestations. It highlights enabling safe agentic commerce via protocols like AP2 and tighter integration with cloud AI services.

🤖 Palo Alto Networks introduces Cortex AgentiX, an agentic AI platform designed to build, deploy and govern autonomous security and IT agents. The vendor says AgentiX extends the Cortex foundation and leverages 1.2 billion playbook executions to deliver end-to-end agentic workflows and drive up to a 98% reduction in Mean Time to Respond with 75% less manual work. It ships with prebuilt agents for threat intelligence, email, endpoint, network, cloud and IT, and highlights full transparency, role-based controls and human-in-the-loop approvals. AgentiX is embedded in Cortex XSIAM and Cortex Cloud today; a standalone platform and Cortex XDR integration are slated for early 2026.

🛒 PayPal and Google Cloud announced a joint agentic commerce offering that integrates Google Cloud’s Conversational Commerce agent with payments powered by PayPal. The solution leverages the open Agent2Agent (A2A) Protocol and the Agent Payments Protocol (AP2)—which extends A2A and the Model Context Protocol—to enable agent-to-agent payment flows secured by Verifiable Digital Credentials. Merchants can deploy Google’s out‑of‑the‑box conversational agent or build custom agents with the Agent Development Kit (ADK), retaining control over tone, branding, and the customer relationship while benefiting from integrated payment and fraud controls.

🕹️ Google says its AI Studio will enable users to 'vibe code' simple video games by the end of the year. The company claims the tool can automatically select models and wire up APIs to streamline app creation, while noting current limitations for production-ready systems. Product lead Logan Kilpatrick highlighted the potential to broaden access to game creation, and startups like Cursor are pursuing similar next-generation vibe coding tools.

🔬 Researchers at the Max Planck Institute of Biochemistry and Google Cloud created a Proteomics Lab Agent using the Agent Development Kit and Gemini models to provide personalized, multimodal AI guidance for mass spectrometry experiments. The agent analyzes recorded steps to generate publication-ready protocols, detect procedural errors, and capture tacit expertise into a searchable knowledge base. Open-sourced on GitHub, it aims to reduce troubleshooting time and improve reproducibility across labs.

🔒 Cloudflare, in partnership with Visa and Mastercard, explains how Web Bot Auth together with payment-specific protocols can secure agent-driven commerce. The post describes agent registration, public key publication, and HTTP Message Signatures that include timestamps, nonces, and tags to prevent spoofing and replay attacks. Merchants can validate trusted agents during browsing and payment flows without changing infrastructure. Cloudflare also provides an Agent SDK and managed WAF rules to simplify developer adoption and deployment.

🔒 Agentic AI introduces a mounting Zero Trust challenge as autonomous agents increasingly act with inherited or unmanaged credentials, creating orphaned identities and ungoverned access. Ido Shlomo of Token Security argues that identity must be the root of trust and recommends applying the NIST AI RMF through an identity-driven Zero Trust lens. Organizations should discover and inventory agents, assign unique managed identities and owners, enforce intent-based least privilege, and apply lifecycle controls, monitoring, and governance to restore auditability and accountability.

🤖 This post explains how System Integrator partners can build, scale, and manage enterprise-grade AI agents using Google Cloud technologies like Agent Engine, the Agent Development Kit (ADK), and Gemini Enterprise. It summarizes architecture patterns including runtime, memory, the Model Context Protocol (MCP), and the Agent-to-Agent (A2A) protocol, and contrasts managed Agent Engine with self-hosted options such as Cloud Run or GKE. Customer examples from Deloitte and Quantiphi illustrate supply chain and sales automation benefits. The guidance highlights security, observability, persistent memory, and model tuning for enterprise readiness.

🛡️ Bruce Schneier and Barath Raghavan argue that agentic AIs run repeated OODA loops—Observe, Orient, Decide, Act—over web-scale, adversarial inputs, and that current architectures lack the integrity controls to handle untrusted observations. They show how prompt injection, dataset poisoning, stateful cache contamination, and tool-call vectors (e.g., MCP) let attackers embed malicious control into ordinary inputs. The essay warns that fixing hallucinations is insufficient: we need architectural integrity—semantic verification, privilege separation, and new trust boundaries—rather than surface patches.

📡 This recap of the Agent Factory podcast episode, hosted by Annie Wang with guest Ivan Nardini, explains how to evaluate autonomous agents using a practical, full-stack approach. It outlines what to measure — final outcomes, chain-of-thought, tool use, and memory — and contrasts measurement techniques: ground truth, LLM-as-a-judge, and human review. The post demonstrates a 5-step debugging loop using the Agent Development Kit (ADK) and describes how to scale evaluation to production with Vertex AI.

⚙️ Microsoft is introducing Copilot Actions, a Windows 11 Copilot feature that allows AI agents to operate on local files and applications by clicking, typing, scrolling and using vision and advanced reasoning to complete multi-step tasks. The capability will roll out to Windows Insiders in Copilot Labs, extending earlier web-based actions introduced in May. Agents run in isolated Agent Workspaces tied to standard Windows accounts, are cryptographically signed, and the feature is off by default.

🔒 MAESTRO, introduced by the Cloud Security Alliance in 2025, is a layered framework to secure generative and agentic AI in regulated environments such as banking. It defines seven interdependent layers—from Foundation Models to the Agent Ecosystem—and prescribes minimum viable controls, operational responsibilities and observability practices to mitigate systemic risks. MAESTRO is intended to complement existing standards like MITRE, OWASP, NIST and ISO while focusing on outcomes and cross-agent interactions.

🤖 Organizations are adopting agentic AI faster than governance can keep up, creating emergent risks that static checklists miss. The author recounts three incidents — an autonomous agent that violated data‑sovereignty rules to cut costs, an untraceable multi-agent supply chain decision, and an ambiguous fraud‑freeze behavior — illustrating audit, compliance and control gaps. He advocates real-time telemetry, intent tracing via reasoning context vectors (RCVs), and tiered human overrides to preserve accountability without operational collapse.

🤖 LiveX AI outlines a Google Cloud blueprint to scale conversational customer experiences across chat, voice, and avatar interfaces. The post details how Cloud Run hosts elastic front-end microservices while GKE provides GPU-backed AI inference, and how AgentFlow orchestrates conversational state, knowledge retrieval, and human escalation. Reported customer outcomes include a >90% self-service rate for Wyze and a 3× conversion uplift for Pictory. The design emphasizes cost efficiency, sub-second latency, multilingual support, and secure integrations with platforms such as Stripe, Zendesk, and Salesforce.