All news with #agentic ai tag

AWS Landing Zone Accelerator: Universal Configuration

🔒 AWS has released the Landing Zone Accelerator on AWS sample security baseline called the Universal Configuration, designed to deploy a secure, multi-account environment rapidly. It encodes AWS Well‑Architected security best practices and automates hundreds of controls to accelerate compliance for regulated workloads. The release is paired with the LZA Compliance Workbook on AWS Artifact, which maps technical controls to frameworks such as NIST, ISO, HIPAA, and CMMC.

Agentic AI Reshapes Cybercrime and Defensive Options

🤖Agentic AI gives autonomous agents the ability to access external systems, gather information, and take actions within defined workflows, making routine multi-system tasks far more efficient for human operators. Cisco Talos warns this efficiency is already being mirrored in the cyber crime economy, including the first observed AI-orchestrated campaign in early 2025. While AI lowers barriers to entry and speeds operations for attackers, it is imperfect and still requires skilled instruction and human oversight. Defenders can respond by building their own agentic tools, deploying honeypots to engage malicious agents, and refining detection to stay ahead.

BigQuery Agent Analytics: Stream and Analyze Agent Data

📊 Google introduces BigQuery Agent Analytics, an ADK plugin that streams agent interaction events into BigQuery to capture, analyze, and visualize performance, usage, and cost. The plugin provides a predefined schema and uses the BigQuery Storage Write API for low-latency, high-throughput streaming of requests, responses, and tool calls. Developers can filter and preprocess events (for example, redaction) and build dashboards in Looker Studio or Grafana while leveraging vector search and generative AI functions for deeper analysis.

Comet AI Browser's Embedded API Permits Device Access

⚠️ Security firm SquareX disclosed a previously undocumented MCP API inside the AI browser Comet that enables embedded extensions to execute arbitrary commands and launch applications — capabilities mainstream browsers normally block. The API can be triggered covertly from pages such as perplexity.ai, creating an execution channel exploitable via compromised extensions, XSS, MITM, or phishing. SquareX highlights that the analytics and agentic extensions are hidden and cannot be uninstalled, leaving devices exposed by default.

Google Named Leader in Gartner MQ for AI Platforms

🚀 Google has been named a Leader in the inaugural 2025 Gartner Magic Quadrant for AI Application Development Platforms and ranked highest for Ability to Execute. The announcement highlights Vertex AI as a unified, governed platform that delivers model choice, customization, and production-grade agent capabilities across an enterprise. Key capabilities cited include the Vertex AI Model Garden and Gemini 3, Vertex AI Training, Agent Builder and Agent Engine for multi-agent systems, and operational controls for observability, security, and predictable cost.

Hidden Comet AI Browser API Spurs Enterprise Alarm

⚠️ SquareX disclosed an undocumented API in the Comet AI browser that allows embedded extensions to execute arbitrary commands and launch applications, effectively bypassing long-standing browser safeguards. The feature was discovered in Comet’s Analytics Extension under a non-standard chrome.perplexity namespace and can be invoked via perplexity.ai, creating a covert execution channel. The API is exploitable through low-bar techniques such as extension stomping, XSS, or MitM, and Comet hides its embedded Analytics and Agentic extensions from the extension dashboard so users cannot disable them.

ServiceNow Now Assist agents vulnerable by default settings

🔒 AppOmni disclosed a second-order prompt injection that abuses ServiceNow's Now Assist agent discovery and agent-to-agent collaboration to perform unauthorized actions. A benign agent parsing attacker-crafted prompts can recruit other agents to read or modify records, exfiltrate data, or escalate privileges — all enabled by default configuration choices. AppOmni recommends supervised execution, disabling autonomous overrides, agent segmentation, and active monitoring to reduce risk.

Amazon Bedrock adds Priority and Flex inference tiers

🔔 Amazon Bedrock introduces two new inference tiers—Priority and Flex—to help customers balance cost and latency for varied AI workloads. Flex targets non-time-critical jobs like model evaluations and summarization with discounted pricing and lower scheduling priority. Priority offers premium performance and preferential processing (up to 25% better OTPS vs. Standard) for mission-critical, real-time applications. The existing Standard tier remains available for general-purpose use.

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.

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.

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 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.

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.

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.

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.