All news with #agentic ai tag

AWS Releases Responsible AI and Updated ML Lenses at Scale

🔔 AWS has published one new Responsible AI lens and updated Generative AI and Machine Learning lenses to guide safe, secure, and production-ready AI workloads. The guidance addresses fairness, reliability, and operational readiness while helping teams move from experimentation to production. Updates include recommendations for Amazon SageMaker HyperPod, Agentic AI, and integrations with Amazon SageMaker Unified Studio, Amazon Q, and Amazon Bedrock. The lenses are aimed at business leaders, ML engineers, data scientists, and risk and compliance professionals.

Security Copilot Agents Included with Microsoft 365 E5

🛡️ Microsoft is including Security Copilot agents in Microsoft 365 E5, embedding AI-driven assistants across Defender, Entra, Intune, and Purview to accelerate investigations and automate routine tasks. The rollout begins today for existing Security Copilot customers on E5 and will expand to all E5 tenants in the coming months with a 30-day notification. The announcement adds 12 Microsoft-built preview agents, 30+ partner agents, and support for customer-built agents to tailor workflows.

Azure Ignite 2025: Azure's Agentic AI and Data Innovations

🚀 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.

Gemini 3 Brings Multimodal and Agentic AI to Enterprise

🤖 Google has made Gemini 3 available to enterprises and developers via Gemini Enterprise and Vertex AI, bringing advanced multimodal reasoning and agentic capabilities to production teams. The model can analyze text, images, video, audio, and code together, supports a 1M-token context window, and improves frontend generation, legacy code migration, and long-running tool orchestration. Early partners report faster diagnostics, richer UI prototypes, and more reliable automation across business workflows.

Ambient and Autonomous Security for the Agentic Era

🛡️ At Microsoft Ignite 2025, Microsoft set out an ambient, autonomous security approach for the emerging agentic era and announced a suite of tools to observe, secure, and govern AI agents and apps. The centerpiece is Microsoft Agent 365, a control plane providing an Entra-based registry, access controls, visualization, and integrations with Defender, Entra, and Purview to detect prompt-injection, prevent leakage, and enable auditing. Microsoft also expanded platform protections, enhanced Copilot data controls in Purview, and positioned Microsoft Sentinel and Security Copilot as agentic security pillars for detection and response.

Azure Introduces Copilot Agents and AI Infrastructure

🚀 At Microsoft Ignite 2025, Microsoft unveiled a suite of Azure infrastructure and AI operational innovations built for scale, reliability, and security. Azure Copilot introduces an agentic operations model with six specialized agents—migration, deployment, optimization, observability, resiliency, and troubleshooting—designed to automate routine cloud management while enforcing RBAC and policy. The release also highlights new AI datacenter architecture (Fairwater), deployment of NVIDIA GB300 GPUs at scale, and platform improvements like Azure Boost and AKS Automatic to accelerate performance and reduce operational overhead.

Microsoft Foundry: Modular, Interoperable Secure Agent Stack

🔧 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.

Anthropic Claude Models Available in Microsoft Foundry

🚀 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.

Rethinking Identity in the AI Era: Building Trust Fast

🔐 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.

A Methodical Approach to Agent Evaluation: Quality Gate

🧭 Hugo Selbie presents a practical framework for evaluating modern multi-step AI agents, emphasizing that final-output metrics alone miss silent failures arising from incorrect reasoning or tool use. He recommends defining clear, measurable success criteria up front and assessing agents across three pillars: end-to-end quality, process/trajectory analysis, and trust & safety. The piece outlines mixed evaluation methods—human review, LLM-as-a-judge, programmatic checks, and adversarial testing—and prescribes operationalizing these checks in CI/CD with production monitoring and feedback loops.

How Attack Surface Management Will Change Noticeably by 2026

🔒 Enterprises face expanding, complex attack surfaces driven by IoT growth, API ecosystems, remote work, shadow IT and multi-cloud sprawl. The author predicts 2026 will bring centralized cloud control—led by SASE—a shift to proactive, continuous ASM, stricter zero trust enforcement and widespread deployment of intelligent, agentic AI for autonomous detection and remediation. The analysis also emphasizes greater attention to third‑party and supply-chain risk.

2025 Google Cloud Partner All-Stars: Recognizing AI Leaders

✨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.

Production-Ready AI with Google Cloud Learning Path

🚀 Google Cloud has launched the Production-Ready AI Learning Path, a free curriculum designed to guide developers from prototype to production. Drawing on an internal playbook, the series pairs Gemini models with production-grade tools like Vertex AI, Google Kubernetes Engine, and Cloud Run. Modules cover LLM app development, open model deployment, agent building, security, RAG, evaluation, and fine-tuning. New modules will be added weekly through mid-December.

AWS Transform auto-generates Landing Zone network YAML

☁️ AWS Transform for VMware can now automatically convert VMware network environments into Landing Zone Accelerator (LZA)-compatible YAML network configurations that can be directly imported and deployed via LZA. Building on existing IaC output formats such as CloudFormation, AWS CDK, and Terraform, this capability reduces manual re-creation of network settings, lowers the risk of configuration errors, and accelerates migration timelines while aligning deployments with enterprise security and compliance standards.

Fight Fire With Fire: Countering AI-Powered Adversaries

🔥 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.

AWS re:Invent 2025 — Security Sessions & Themes Overview

🔒 AWS re:Invent 2025 highlights an expanded Security and Identity track featuring more than 80 sessions across breakouts, workshops, chalk talks, and hands-on builders’ sessions. The program groups content into four practical themes — Securing and Leveraging AI, Architecting Security and Identity at scale, Building and scaling a Culture of Security, and Innovations in AWS Security — with real-world guidance and demos. Attendees can meet experts at the Security and AI Security kiosks in the expo hall and are encouraged to reserve limited-capacity hands-on sessions early to secure seats.

Anthropic's Claim of Claude-Driven Attacks Draws Skepticism

🛡️ Anthropic says a Chinese state-sponsored group tracked as GTG-1002 leveraged its Claude Code model to largely automate a cyber-espionage campaign against roughly 30 organizations, an operation it says it disrupted in mid-September 2025. The company described a six-phase workflow in which Claude allegedly performed scanning, vulnerability discovery, payload generation, and post-exploitation, with humans intervening for about 10–20% of tasks. Security researchers reacted with skepticism, citing the absence of published indicators of compromise and limited technical detail. Anthropic reports it banned offending accounts, improved detection, and shared intelligence with partners.

Chinese State-Linked Hackers Used Claude Code for Attacks

🛡️ 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.

Adversarial AI Bots vs Autonomous Threat Hunters Outlook

🤖 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.

Agent Factory Recap: Building Open Agentic Models End-to-End

🤖 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.