All news with #agentic ai tag

Vertex AI Studio adds Gemini tools for faster builds

🚀 Vertex AI Studio now centers developer workflows around Gemini and introduces agents-as-tools to streamline prompt engineering and app creation. The Studio adds three core agent commands — /Prompt, /Evaluate, and /Build — to refine prompts, assess outputs with custom autoraters, and generate working code. Team features include cross-account prompt sharing, version history, and notes. Onboarding is simplified with one-click API keys, an /Ask helper, express mode, and loginless model trials.

BigQuery AI: Unified ML, Generative AI, and Agents

🤖 BigQuery AI consolidates BigQuery’s built-in ML, generative AI functions, vector search, and agent tools into a unified platform. It enables users to apply generative models and embeddings directly via SQL, perform semantic vector search, and run end-to-end ML workflows without moving data. Role-specific data agents and assistive features like a data canvas and code completion accelerate work for engineers, data scientists, and business users.

Microsoft Named Leader in Gartner Access Management

🔒 Microsoft has been recognized as a Leader in the 2025 Gartner Magic Quadrant for Access Management for the ninth consecutive year. The post highlights Microsoft Entra as a unified IAM and CIAM solution that consolidates controls, telemetry, and administration while integrating generative AI in the Entra admin center to streamline workflows and threat response. Microsoft calls out rising threats—nation-state actors and organized cybercrime using generative AI—and stresses that multifactor authentication and agent identity controls are essential to protect both human and non-human identities.

Google: Leader in 2025 Gartner Magic Quadrant for CDBMS

📈 Google announces it was named a Leader in the 2025 Gartner Magic Quadrant for Cloud Database Management Systems for the sixth consecutive year and positioned furthest in vision. The post presents the company's AI-native Data Cloud—a unified stack integrating BigQuery, Spanner, AlloyDB, Looker, and Dataplex—to support agentic AI. Google highlights embedded specialized agents, developer tooling (Data Agents API, ADK, Gemini CLI) and Agent Analytics in BigQuery to accelerate AI-driven applications while asserting cost and governance benefits on a single, open platform.

AWS Security Incident Response Adds Agentic AI Investigator

🔍 AWS Security Incident Response now offers an agentic AI investigative capability that automatically gathers, correlates, and summarizes evidence across AWS data sources. The investigative agent assesses new cases, asks submitters clarifying questions for missing indicators or timeframes, and collects logs from AWS CloudTrail, AWS Identity and Access Management (IAM), Amazon EC2, and AWS Cost Explorer. Findings are presented as clear, actionable summaries, and the feature is enabled automatically at no extra cost in supported Regions.

Amazon SageMaker One-Click Onboarding for Existing Data

✨ Amazon SageMaker now offers one-click onboarding of existing AWS datasets into Amazon SageMaker Unified Studio, letting customers begin data work in minutes while retaining their current IAM roles and permissions. The feature provisions a pre-configured serverless notebook with a built-in AI agent that supports SQL, Python, Spark, and natural language. Users can start from SageMaker, Amazon Athena, Amazon Redshift, or Amazon S3 Tables consoles and the setup imports permissions from AWS Glue Data Catalog, Lake Formation, and S3 to accelerate first use.

Agentic AI Security Scoping Matrix for Autonomous Systems

🤖 AWS introduces the Agentic AI Security Scoping Matrix to help organizations secure autonomous, tool-enabled AI agents. The framework defines four architectural scopes—from no agency to full agency—and maps escalating security controls across six dimensions, including identity, data/memory, auditability, agent controls, policy perimeters, and orchestration. It advocates progressive deployment, layered defenses, continuous monitoring, and retained human oversight to mitigate risks as autonomy increases.

Amazon SageMaker Data Agent for Analytics and ML Development

🤖 Amazon SageMaker Data Agent is a built-in AI agent in the new notebook experience that accelerates analytics and ML development. It translates natural-language prompts into detailed execution plans and generates SQL and Python code, while staying aware of notebook context and data catalog metadata. Available in multiple AWS regions, it speeds common tasks like data transformation, statistical analysis, and model prototyping.

Industrialization of Cybercrime: AI, Speed, Defense

🤖 FortiGuard Labs warns that by 2026 cybercrime will transition from ad hoc innovation to industrialized throughput, driven by AI, automation, and a mature supply chain. Attackers will automate reconnaissance, lateral movement, and data monetization, shrinking attack timelines from days to minutes. Defenders must adopt machine-speed operations, continuous threat exposure management, and identity-centric controls to compress detection and response. Global collaboration and targeted disruption will be essential to deter large-scale criminal infrastructure.

AI Agents Used in State-Sponsored Large-Scale Espionage

⚠️ In mid‑September 2025, Anthropic detected a sophisticated espionage campaign in which attackers manipulated its Claude Code tool to autonomously attempt infiltration of roughly thirty global targets, succeeding in a small number of cases. The company assesses with high confidence that a Chinese state‑sponsored group conducted the operation against large technology firms, financial institutions, chemical manufacturers, and government agencies. Anthropic characterizes this as likely the first documented large‑scale cyberattack executed with minimal human intervention, enabled by models' increased intelligence, agentic autonomy, and access to external tools.

Amazon SageMaker notebooks with built-in AI agent experience

🤖 Amazon SageMaker introduces a serverless notebook experience that consolidates SQL, Python, and natural-language workflows into a single interactive workspace for analytics and ML. The environment is backed by Amazon Athena for Apache Spark to scale from interactive queries to petabyte-scale processing without pre-provisioned infrastructure. A built-in AI agent generates code and SQL from natural-language prompts to accelerate development, and the feature is available via SageMaker Unified Studio's one-click onboarding in multiple AWS Regions.

AWS CloudWatch Application Signals adds GitHub Action

🔍 AWS announced general availability of a new Application Observability for AWS GitHub Action and enhancements to the CloudWatch Application Signals MCP server that embed observability into developer workflows. Developers can now request trace-aware diagnostics inside GitHub — for example by mentioning @awsapm in Issues — and receive intelligent, observability-based responses without switching consoles. The MCP server updates also let AI coding agents (such as Kiro) identify the exact file, function, and line causing latency or errors and provide or modify OTel-based instrumentation guidance for CDK or Terraform across ECS, EKS, Lambda, and EC2.

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.