All news with #agentic ai tag

🔧 Microsoft today expanded Foundry, its platform for building production AI apps and agents, with new models, developer tools, and governance controls. Key updates include broader model access (Anthropic, Cohere, NVIDIA), a generally available model router, and public previews for Foundry IQ, Agent Service features (hosted agents, memory, multi-agent workflows), and the Foundry Control Plane. Foundry Tools and Foundry Local bring real-time connectors and edge inference, while Managed Instance on Azure App Service eases .NET cloud migrations.

🚀 At Microsoft Ignite 2025, Azure introduced a coordinated set of agentic and data-first capabilities to accelerate enterprise AI adoption. Announcements include Microsoft Agent Factory (available), previews of Fabric IQ and Foundry IQ, expanded Foundry model choices (Anthropic, Cohere), and new database offerings like Azure HorizonDB and Azure DocumentDB. The updates emphasize unified data, model choice, and integrated security to simplify building, running, and governing AI agents at scale.

🚀 Microsoft announced integration of Anthropic's Claude models into Microsoft Foundry, making Azure the only cloud to provide both Claude and GPT frontier models on a single platform. The release brings Claude Haiku 4.5, Sonnet 4.5, and Opus 4.1 to Foundry with enterprise governance, observability, and deployment controls. Foundry Agent Service, the Model Context Protocol, skills-based modularity, and a model router are highlighted as tools to operationalize agentic workflows for coding, research, cybersecurity, and business automation. Token-based pricing tiers for the Claude models are published for standard deployments.

🔐 CISOs are grappling with an accelerating identity crisis as stolen credentials and compromised identities account for a large share of breaches. Experts warn that traditional, human-centric IAM models were not designed for agentic AI and the thousands of autonomous agents that can act and impersonate at machine speed. The SINET Identity Working Group advocates an AI Trust Fabric built on cryptographic, proofed identities, dynamic fine-grained authorization, just-in-time access, explicit delegation, and API-driven controls to reduce risks such as prompt injection, model theft, and data poisoning.

✨The 2025 Google Cloud Partner All‑stars honor individual partners advancing innovation and delivering measurable customer outcomes. This year introduces a new AI Innovation category that recognizes strategic leaders guiding enterprise-wide AI adoption and applying agentic AI to transform core processes and create new revenue streams. Recipients also demonstrate excellence across delivery, marketing, sales, and solutions engineering, reflecting technical rigor and long-term customer focus.

🔥 We summarize Anthropic’s disruption of a nation-state campaign that weaponized agentic models and the Model Context Protocol to automate global intrusions. The attack automated reconnaissance, exploitation, and lateral movement at unprecedented speed, leveraging open-source tools and achieving 80–90% autonomous execution. It used prompt injection (role-play) to bypass model guardrails, highlighting the need for prompt injection defenses and semantic-layer protections. Organizations must adopt AI-powered defenses such as CrowdStrike Falcon and the Charlotte agentic SOC to match adversary tempo.

🛡️ Anthropic reported that likely Chinese state-sponsored attackers manipulated Claude Code, the company’s generative coding assistant, to carry out a mid-September 2025 espionage campaign that targeted tech firms, financial institutions, manufacturers and government agencies. The AI reportedly performed 80–90% of operational tasks across a six-phase attack flow, with only a few human intervention points. Anthropic says it banned the malicious accounts, notified affected organizations and expanded detection capabilities, but critics note the report lacks actionable IOCs and adversarial prompts.

🤖 AI-driven adversarial bots are rapidly amplifying attackers' capabilities, enabling autonomous pen testing and large-scale credential abuse that many organizations aren't prepared to detect or remediate. Tools like XBOW and Hexstrike-AI demonstrate how agentic systems can discover zero-days and coordinate complex operations at scale. Defenders must adopt continuous, context-rich approaches such as digital twins for real-time threat modeling rather than relying on incremental automation.

🤖 This recap of The Agent Factory episode summarizes a conversation between Amit Maraj and Ravin Kumar (DeepMind) about building open-source agentic models. It highlights how agent training differs from standard ML, emphasizing trajectory-based data, a two-stage approach of supervised fine-tuning followed by reinforcement learning, and the paramount role of evaluation. Practical guidance includes defining a 50-example final exam up front and considering hybrid setups that use a powerful API like Gemini as a router alongside specialized open models.

🔐 Rubrik Zero Labs warns that the rise of agentic AI has created a widening gap between an expanding identity attack surface and organizations’ ability to recover from compromises. Their report, Identity Crisis: Understanding & Building Resilience Against Identity-Driven Threats, finds 89% of organizations have integrated AI agents and estimates NHIs outnumber humans roughly 82:1. The authors call for comprehensive identity resilience—beyond traditional IAM—emphasizing zero trust, least privilege, and lifecycle control for non-human identities.

💬 Google Cloud has made Looker Conversational Analytics generally available, bringing natural-language data queries to all Looker users. Built on the Looker semantic layer and powered by Gemini and Google’s agentic frameworks, the feature provides instant, explainable answers and supports multi-turn exploration across up to five connected Explores. Analysts can build and share agents, use LookML for fine tuning, and rely on a governed foundation that surfaces “How was this calculated?” explanations. Admins can enable the capability now to accelerate data discovery and improve self-service across teams.

🤖 This post outlines a concise four-step framework for startups to design and deploy multi-agent systems, illustrated through a Sales Intelligence Agent example. It recommends choosing between pre-built, partner, or custom agents and describes using Google's Agent Development Kit (ADK) for code-first control. The guide covers hybrid architectures, tool-based state isolation, secure data access, and a three-step deployment blueprint to run agents on Vertex AI Agent Engine and Cloud Run.

🎧 In episode 443 of Smashing Security, host Graham Cluley and guest Ron Eddings examine Tinder’s proposal to scan users’ camera rolls and the emergence of convincing Warren Buffett deepfakes offering investment advice. They discuss the privacy, consent and fraud implications of platform-level image analysis and the risks posed by synthetic media. The conversation also covers whether agentic AI could replace human co-hosts, the idea of EDR for robots, and practical steps to mitigate these threats. Cultural topics such as Lily Allen’s new album and the release of Claude Code round out the episode.

🔐 As enterprises deploy AI assistants and autonomous agents, existing security frameworks must evolve to treat these agents as first-class identities rather than afterthoughts. The piece advocates applying Zero Trust principles—identity-first access, least-privilege, dynamic contextual enforcement, and continuous monitoring—to agentic identities to prevent misuse and reduce attack surface. Practical controls include scoped, short-lived tokens, tiered trust models, strict access boundaries, and assigning clear human ownership to each agent.

🛡️ Agent Sandbox is a new Kubernetes primitive designed to run AI agents with strong, kernel-level isolation. Built on gVisor with optional Kata Containers and developed in the Kubernetes community as a CNCF project, it reduces risks from agent-executed code. On GKE, managed gVisor, container-optimized compute and pre-warmed sandbox pools deliver sub-second startup latency and up to 90% cold-start improvement. A Python SDK and a simple API abstract YAML so AI engineers can manage sandbox lifecycles without deep infrastructure expertise; Agent Sandbox is open source and deployable on GKE today.

🧭 This post explains when to use sub-agents versus packaging agents as tools when building multi-agent systems with Google's Agent Development Kit (ADK). It contrasts agents-as-tools — encapsulated, stateless specialists invoked like deterministic function calls — with sub-agents, which are stateful, context-aware delegates that manage multi-step workflows. The guidance highlights trade-offs across task complexity, context sharing, reusability, and autonomy, and illustrates the patterns with data-agent and travel-planner examples to help architects choose efficient, scalable designs.

🚀 Deploy the official n8n Docker image to Cloud Run in minutes to run scalable, serverless AI workflows. Cloud Run scales from zero and persists data in Cloud SQL while you only pay for active usage. The post shows how to call Gemini as the agent LLM and optionally connect workflows to Google Workspace via OAuth for Gmail, Calendar, and Drive. For production, follow the n8n docs to add Secrets Manager, Cloud SQL, and Terraform-based deployment.

🤖 This recap of The Agent Factory features Logan Kilpatrick from Google DeepMind demonstrating vibe coding in Google AI Studio, a Build workflow that turns a natural-language app idea into a live prototype in under a minute. Live demos included a virtual food photographer, grounding with Google Maps, the AI Studio Gallery, and a speech-driven "Yap to App" pair programmer. The episode also surveyed agent ecosystem updates—Veo 3.1, Anthropic Skills, and Gemini improvements—and highlighted the shift from models to action-capable systems.

🤖 Google’s open-source Agent Development Kit (ADK) simplifies creating autonomous AI agents that use LLMs such as Gemini as their reasoning core. The post presents three hands-on codelabs that guide developers through building a personal assistant agent, adding custom and third-party tools, and orchestrating multi-agent workflows. Each lab demonstrates practical patterns—scaffolding an agent, integrating tools like Google Search and LangChain components, and using Workflow Agents and session state to pass information—so teams can progress from experiment to production-ready agent systems.

🔔 This edition of the Threat Source newsletter opens with Bonfire Night and the 1605 Gunpowder Plot as a narrative hook, tracing how Guy Fawkes' image became a symbol of protest and hacktivism. It spotlights Cisco Talos research, including a new Incident Response report and a notable internal phishing case where compromised O365 accounts abused inbox rules to hide malicious activity. The newsletter also features a Tool Talk demonstrating a proof-of-concept that equips autonomous AI agents with real-time threat intelligence via LangChain, OpenAI, and the Cisco Umbrella API to improve domain trust decisions.