All news with #agentic ai tag

Shadow AI: The Emerging Security Blind Spot for Companies

🔦 Shadow AI — the unsanctioned use of generative and agentic tools by employees — is creating a sizeable security blind spot for IT teams. Unsanctioned chatbots, browser extensions and autonomous agents can expose sensitive data, introduce vulnerabilities, or execute unauthorized actions. Organizations should inventory use, define realistic acceptable-use policies, vet vendors and combine technical controls with user education to reduce data leakage and compliance risk.

Anthropic's Claude Sonnet 4.5 Now in AWS GovCloud (US)

🚀 Anthropic's Claude Sonnet 4.5 is now available in Amazon Bedrock within AWS GovCloud (US‑West and US‑East) via US‑GOV Cross‑Region Inference. The model emphasizes advanced instruction following, superior code generation and refactoring judgment, and is optimized for long‑horizon agents and high‑volume workloads. Bedrock adds an automatic context editor and a new external memory tool so Claude can clear stale tool-call context and store information outside the context window, improving accuracy and performance for security, financial services, and enterprise automation use cases.

Browser Security Report 2025: Emerging Enterprise Risks

🛡️ The Browser Security Report 2025 warns that enterprise risk is consolidating in the user's browser, where identity, SaaS, and GenAI exposures converge. The research shows widespread unmanaged GenAI usage and paste-based exfiltration, extensions acting as an embedded supply chain, and a high volume of logins occurring outside SSO. Legacy controls like DLP, EDR, and SSE are described as operating one layer too low. The report recommends adopting session-native, browser-level controls to restore visibility and enforce policy without disrupting users.

When to Use Sub-Agents Versus Agents as Tools for ADK

🧭 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 n8n on Cloud Run for Serverless AI Workflows

🚀 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.

Defending Digital Identity from Computer-Using Agents (CUAs)

🔐 Computer-using agents (CUAs) — AI systems that perceive screens and act like humans — are poised to scale phishing and credential-stuffing attacks by automating UI interactions, adapting to layout changes, and bypassing anti-bot defenses. Organizations should move beyond passwords and shared-secret MFA to device-bound, cryptographic authentication such as FIDO2 passkeys and PKI-based certificates to reduce large-scale compromise. SaaS vendors must integrate with identity platforms that support phishing-resistant credentials to strengthen overall security.

Build Your First AI Agent Workforce with Google's ADK

🤖 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.

Falcon Platform Enables Fast, CISO-Ready Executive Reports

🔒 The Falcon platform automates executive exposure reporting by correlating telemetry from Falcon Exposure Management, Falcon Cloud Security, and Falcon Next-Gen SIEM into decision-ready summaries. Falcon Fusion SOAR schedules or triggers workflows, and Charlotte AI agentic workflows translate correlated data into plain-language, prioritized reports on demand. The result is near real-time, adversary-aware reporting that maps exploitable vulnerabilities to critical assets and suggests prioritized remediation actions, dramatically reducing manual analyst effort.

CIO’s First Principles: A Reference Guide to Securing AI

🔐 Enterprises must redesign security as AI moves from experimentation to production, and CIOs need a prevention-first, unified approach. This guide reframes Confidentiality, Integrity and Availability for AI, stressing rigorous access controls, end-to-end data lineage, adversarial testing and a defensible supply chain to prevent poisoning, prompt injection and model hijacking. Palo Alto Networks advocates embedding security across MLOps, real-time visibility of models and agents, and executive accountability to eliminate shadow AI and ensure resilient, auditable AI deployments.

IDC: Major Shift in Cloud Security Investment Trends

🔍 IDC’s latest research finds organizations averaged nine cloud security incidents in 2024, with 89% reporting year-over-year increases. The study identifies CNAPP as a top-three investment for 2025, rising CISO ownership of cloud security, and persistent tool sprawl that increases cost and risk. It also documents practical uses of generative AI for detection and response and a move toward integrated, autonomous SecOps platforms. Microsoft positions its integrated CNAPP and AI-driven threat intelligence as a way to unify protection across the application lifecycle.

AWS launches regional service discovery in Builder Center

🔍 AWS announced AWS Capabilities by Region in Builder Center, a web-based tool to discover and compare service availability, features, APIs, and CloudFormation resources across AWS Regions. The interactive interface lets users explore Regions, run side-by-side comparisons, and view forward-looking roadmap details to support global deployment planning. AWS also enhanced the Knowledge MCP Server to expose regional capability data in an LLM-compatible format, enabling MCP clients and agentic frameworks to obtain real-time availability insights and suggested alternatives when features are unavailable.

Google Cloud Announces Ironwood TPUs and Axion VMs

🚀 Google Cloud announced general availability of Ironwood, its seventh-generation TPU, alongside a new family of Arm-based Axion VMs. Ironwood is optimized for large-scale training, reinforcement learning, and high-volume, low-latency inference, with claims of 10x peak performance over TPU v5p and multi-fold efficiency gains versus TPU v6e (Trillium). The architecture supports superpods up to 9,216 chips, 9.6 Tb/s inter‑chip interconnect, up to 1.77 PB shared HBM, and Optical Circuit Switching for dynamic fabric routing. Complementary software and orchestration updates — including Cluster Director, MaxText improvements, vLLM support, and GKE Inference Gateway — aim to reduce time-to-first-token and serving costs, while Axion N4A/C4A instances provide ARM-based CPU options for cost-sensitive inference and data-prep workloads.

Equipping Autonomous AI Agents with Cyber Hygiene Practices

🔐 This post demonstrates a proof-of-concept for teaching autonomous agents internet safety by integrating real-time threat intelligence. Using LangChain with OpenAI and the Cisco Umbrella API, the example shows how an agent can extract domains and query dispositions to decide whether to connect. The agent returns clear disposition reports and abstains when no domains are present. The approach emphasizes decision-making over hardblocking.

Forrester's 2026 Predictions: CIOs and CISOs on Alert

🔍 Forrester warns that 2026 will demand precision, resilience and strategic foresight from CIOs and CISOs as volatility persists and the AI hype phase gives way to a results-driven era. Leaders will face rising pressure to deliver measurable, secure outcomes from AI initiatives while managing vendor promises, postponements and tighter financial scrutiny. Neocloud growth, talent bottlenecks and accelerating quantum risk will further complicate planning and force cross-functional governance.

Azure AI Foundry and UiPath: Agentic Automation in Care

🏥 Microsoft and UiPath describe how integrated agents from Azure AI Foundry and UiPath, orchestrated by UiPath Maestro, can operationalize AI within clinical workflows to surface and act on incidental radiology findings. The workflow uses UiPath medical record summarization agents to flag findings, Azure AI Foundry imaging agents to analyze PACS images and prior results, and UiPath agents to aggregate and forward consolidated follow-up reports to ordering clinicians. Microsoft says this agentic approach accelerates decision-making, reduces physician workload, and improves outcomes while maintaining compliance with DICOMweb and FHIR standards.

Vertex AI Agent Builder: Build, Scale, Govern Agents

🚀 Vertex AI Agent Builder is Google Cloud's integrated platform to build, scale, and govern production AI agents. The update expands the Agent Development Kit (ADK) and Agent Engine with configurable context layers to reduce token usage, an adaptable plugins framework, and new language SDK support including Go. Production features include observability, evaluation tools, simplified deployment via the ADK CLI, and strengthened governance with native agent identities and Model Armor protections.

Building Collaborative AI with ADK: A Developer’s Guide

🧭 This guide summarizes Multi-Agent System (MAS) fundamentals and explains how Google’s Agent Development Kit (ADK) helps developers assemble cooperating agents to solve complex tasks. It outlines three agent roles — LLM Agents for reasoning, Workflow Agents for orchestration, and Custom Agents for bespoke logic — and describes hierarchical organization and orchestration patterns (sequential, parallel, loop). The post also reviews communication options (shared state, LLM delegation, explicit invocation) and points developers to samples and codelabs for rapid prototyping.

10 Promising Cybersecurity Startups CISOs Should Know

🔒 This roundup profiles ten cybersecurity startups founded in 2020 or later that CISOs should watch, chosen for funding, leadership, customer traction, and strategic clarity. It highlights diverse categories including non-human identity, software supply chain, data security posture, and AI agent security. Notable vendors such as Astrix, Chainguard, Cyera, and Drata have raised substantial capital and achieved rapid enterprise adoption. The list underscores investor enthusiasm and the rise of runtime‑focused and agentic defenses.

CrowdStrike Expands Agentic Security Workforce With Agents

🤖 CrowdStrike announced new specialized agents and an orchestration layer designed to accelerate SOC operations and automation. The launch includes a Data Onboarding Agent, a Foundry App Creation Agent, and an updated Exposure Prioritization Agent to simplify pipeline creation, app development, and continuous authenticated scanning. Integrated with Charlotte Agentic SOAR and Charlotte AI, these agents enable coordinated, machine-speed workflows while keeping analysts in control.

CrowdStrike Advances Security Automation with Charlotte

🚀 CrowdStrike introduces Charlotte Agentic SOAR, an orchestration layer that integrates Falcon Fusion SOAR, Falcon Next‑Gen SIEM, Charlotte AI and AgentWorks to enable intelligent, no‑code agents. The offering includes an Agentic Security Workforce of purpose-built AI agents, an Agent Builder for plain-language agent creation, a visual workflow orchestrator with hundreds of connectors, and unified case management. Together these elements let analysts set guardrails while agents reason, decide, and act at machine speed to accelerate detection and response and reduce repetitive analyst tasks.