All news with #agentic ai tag

🔒 Salesforce introduced two AI agents on its Agentforce platform that monitor security activity and streamline compliance workflows for the Security Center and Privacy Center. The security agent analyzes event logs to detect anomalous behavior, accelerates investigations by assembling context and remediation plans, and can autonomously freeze or isolate suspicious accounts when authorized. The privacy agent maps metadata and policies against frameworks like GDPR and CCPA, surfaces exposures, and can reclassify or apply erasure policies to reduce compliance risk.

⚠️ AI agents are increasingly automating cyberattacks, performing reconnaissance, exploitation, and data theft at machine speed and scale. In 2023 examples include XBOW's mass vulnerability reports, DARPA teams finding dozens of flaws in hours, and reports of adversaries using Claude and HexStrike-AI to orchestrate ransomware and persistent intrusions. This shift threatens accelerated attacks beyond traditional patch cycles while presenting new defensive opportunities such as AI-assisted vulnerability discovery, VulnOps, and even self-healing networks.

🤖 Google Cloud published the Startup technical guide: AI agents, a practical, operations-driven roadmap to design, build, and operate agentic systems for startups. The guide outlines three paths — build with the open-source Agent Development Kit (ADK), design no-code agents in Agentspace, or adopt managed and partner agents via Vertex AI and the Agent Garden marketplace. It details four development steps (identity, prime directive, tools, lifecycle), highlights operational rigor (AgentOps), and promotes interoperability through standards such as MCP and A2A, all aimed at safe production deployment.

🤖 At the AI Builders Forum, Google Cloud highlighted 150 startups using its generative AI stack—Vertex AI, Gemini, GKE, and Cloud Storage—to build agentic systems, healthcare models, developer tools, and media pipelines. The post catalogs companies across sectors (healthcare, finance, retail, security, creative) and describes technical integrations such as fine-tuning with Gemini, inference on GKE, and scalable analytics with BigQuery. It encourages startups to join Google for Startups Cloud and references a new Startup Technical Guide: AI Agents for building and scaling agentic applications.

🧭 OpenAI is testing a visual Agent Builder that lets users assemble ChatGPT-powered agents by dropping and connecting node blocks in a flowchart. Templates like Customer service, Data enrichment, and Document comparison provide editable starting points, while users can also create flows from scratch. Agents are configurable with model choice, custom prompts, reasoning effort, and output format (text or JSON), and they can call tools and external services. Reported screenshots show support for MPC connectors such as Gmail, Calendar, Drive, Outlook, SharePoint, Teams, and Dropbox; OpenAI plans to share more details at DevDay.

🤖 Opera has unveiled Neon, a premium AI-first browser that delegates browsing tasks to integrated agents, from opening tabs and conducting research to comparing prices and assessing security. Early access is available for Windows and macOS at an introductory price of $59.90 for nine months; Opera says the service will cost $19.90 per month after the offer. Opera positions Neon alongside other agentic browsers such as Perplexity Comet and Microsoft Edge's Copilot mode.

🚀 The open-source Model Context Protocol (MCP) Server is now available for Amazon Bedrock AgentCore, providing a standardized interface that enables developers to analyze, transform, and deploy production-ready AI agents within their preferred development environments. The release includes one-click installation and integrates with agentic IDEs like Kiro and AI coding assistants such as Claude Code, Cursor, and the Amazon Q Developer CLI. Developers can use natural language to iteratively build agents, convert agent logic to the AgentCore SDK, and deploy into development accounts. Documentation and installation instructions are published in the MCP Server GitHub repository, with additional implementation guidance and pricing details available in the AgentCore documentation and pricing resources.

⚠️ Forrester warns that an agentic AI deployment will trigger a publicly disclosed data breach in 2026, potentially prompting employee dismissals. Senior analyst Paddy Harrington noted that generative AI has already been linked to several breaches and cautioned that autonomous agents can sacrifice accuracy for speed without proper guardrails. He urges adoption of the AEGIS framework to secure intent, identity, data provenance and other controls. Check Point also reported malicious agentic tools accelerating attacker activity.

🚀 Google Cloud is hosting a regional event series across EMEA to help developers and tech practitioners learn to build and scale AI agents. The program combines immersive, hands-on labs and expert-led workshops covering technologies such as Cloud Run, Vertex AI, Gemini, and the Agent Development Kit (ADK). Participants receive step-by-step guidance and practical exercises designed to accelerate agent deployments and operational readiness within organizations.

🔒 Microsoft announced major AI upgrades for Sentinel SIEM and Security Copilot, positioning them as agentic platforms. The update makes Sentinel data lake generally available and introduces public-preview releases of Sentinel graph and the Sentinel Model Context Protocol (MCP) Server so AI agents can access and act on SIEM data. Customers can now build custom agents with natural‑language prompts and discover third‑party agents via a revamped store. Microsoft positions agents to automate investigation and response but warns of increased noise, false positives and a new attack surface.

🧭 The AWS API MCP Server v1.0.0 enables foundation models to interact with AWS APIs via natural language by generating and executing syntactically correct CLI commands. This release reduces startup time and removes local dependencies by converting the suggest_aws_command tool into a remote service, and adds streamable HTTP transport alongside stdio. Security and governance are strengthened with improved secure file system controls, better input validation, configurable denials, and options to require human oversight for mutating actions. Observability is improved through CloudWatch agent log collection, and an experimental get_execution_plan tool (enabled by EXPERIMENTAL_AGENT_SCRIPTS) offers prescriptive workflows; the server is available as a container and open-source on the AWS Labs GitHub repository.

🔎 The AWS Knowledge MCP Server is now generally available, giving AI agents and MCP-compatible clients access to authoritative AWS documentation, blog posts, What's New announcements, and Well-Architected guidance in an LLM-friendly format. The GA release also adds structured knowledge about regional API and CloudFormation resource availability. The server is publicly accessible at no cost and does not require an AWS account, though usage is rate-limited. Configure MCP clients to use the AWS Knowledge MCP Server endpoint to anchor agent responses in trusted AWS context and reduce manual context management.

🤖 The Microsoft Agent Framework is now in public preview inside Azure AI Foundry, offering an open-source SDK and runtime to simplify orchestration of multi-agent systems. Developers can prototype locally and deploy with built-in observability, durability, and compliance while integrating tools via OpenAPI, Agent2Agent (A2A), and the Model Context Protocol (MCP). Microsoft also previews stateful multi-agent workflows and has contributed multi-agent tracing standards to OpenTelemetry. Responsible AI controls and a generally available Voice Live API add governance and real-time voice capabilities for enterprise scenarios.

🔒 CrowdStrike’s Fall 2025 release introduces the Falcon agentic security platform, redefining SOC operations by pairing analysts with AI agents that reason, act, and continuously learn. The release centers on the Enterprise Graph data layer and Charlotte AI AgentWorks for no-code agent creation, plus seven mission-ready agents and Threat AI for autonomous hunting and response. It also expands identity, data protection, patching, and MDR capabilities, integrates Pangea and Onum, and launches AI Detection and Response (AIDR) to secure AI workflows.

🔒 Microsoft announced the general availability of the Sentinel data lake and public previews of Sentinel Graph and the Sentinel Model Context Protocol (MCP) server. The release broadens Sentinel from a traditional SIEM into a unified, agentic security platform designed to ingest and correlate structured and semi-structured signals at scale. It is intended to give AI agents such as Security Copilot and developer tools in VS Code with GitHub Copilot richer contextual access for detection, retroactive hunting, and automated response while integrating with Defender and Purview.

🛡️ Microsoft announced expanded agentic security capabilities in Microsoft Sentinel, including the general availability of the Sentinel data lake and public preview of Sentinel Graph and the Model Context Protocol (MCP) server to enable AI agents to reason over unified security data. Sentinel ingests structured and semi-structured signals, builds vectorized, graph-based context, and integrates with Microsoft Defender and Microsoft Purview. Security Copilot now offers a no-code agent builder and developer workflows via VS Code/GitHub Copilot, while enhanced governance controls (Entra Agent ID, PII guardrails, prompt shields) aim to secure agent lifecycles.

🔍 The Hacker News piece argues that traditional, rule‑driven SOCs produce overwhelming alert noise that prevents timely, accurate incident response. It advocates flipping the model to treat incoming signals as parts of a larger story—normalizing, correlating, and enriching logs across identity, endpoints, cloud workloads, and SIEMs so analysts receive coherent investigations rather than isolated alerts. The contributed article presents Conifers and its CognitiveSOC™ platform as an example of agentic AI that automates multi‑tier investigations, reduces false positives, and shortens MTTR while keeping human judgment central.

🔒 Falcon ASPM provides continuous, code-level visibility to secure generative and agentic AI applications such as Charlotte AI. It detects real-time drift, produces a runtime SBOM, and maps architecture and data flows to flag reachable vulnerabilities, softcoded credentials, and anomalous service behaviors. Contextualized alerts and mitigation guidance help teams prioritize fixes and reduce exploitable risk across complex microservice environments.

🚀 Anthropic’s Claude Sonnet 4.5 is now generally available on Vertex AI, delivering advanced long-horizon autonomy for agents across coding, finance, research, and cybersecurity. The model can operate independently for hours, orchestrating tools and coordinating multiple agents to complete complex, multi-step tasks. Vertex AI provides orchestration, provisioning, security controls, and developer tooling, and includes Claude Code upgrades like a VS Code extension and an improved terminal interface.

🚀 Anthropic’s Claude Sonnet 4.5 is now available through Amazon Bedrock, providing managed API access to the company’s most capable model. The model leads SWE-bench Verified benchmarks with improved instruction following, stronger code-refactoring judgment, and enhanced production-ready code generation. Bedrock adds automated context editing and a memory tool to extend usable context and boost accuracy for long-running agents across global regions.