All news with #agentic ai tag

🔍 Microsoft introduces CTI-REALM, an open-source benchmark that evaluates AI agents on end-to-end detection engineering by turning real-world cyber threat intelligence into validated detections. The benchmark places agents in realistic, tool-rich environments where they must read CTI reports, explore telemetry, iterate on KQL queries, and produce Sigma rules and KQL-based logic scored against ground truth across Linux, AKS, and Azure. CTI-REALM's checkpoint-based scoring surfaces whether failures arise from CTI comprehension, technique mapping, data-source selection, or query construction, helping teams decide where human oversight and guardrails are required.

🔊 Amazon Web Services announced general availability of 10 new highly expressive Generative voices in Amazon Polly, covering eight locales including American, British, New Zealand, and Singapore English, plus French, Italian, German, and Swiss German. The Generative engine is now hosted in two additional regions — Europe (London) and Canada (Central) — and introduces a Bidirectional Streaming API. The new streaming capability lets customers send text and receive synthesized audio simultaneously, simplifying low-latency integrations with LLM-based systems for chatbots, game characters, and other real-time speech applications.

🔒 Microsoft presents an end-to-end strategy to secure agentic AI with the new Agent 365 control plane and updates across Microsoft Defender, Entra, Purview, and Sentinel. Announced for RSAC 2026, these measures focus on visibility, continuous identity protection, data loss prevention for Copilot prompts, and prompt-injection defenses to help organizations observe, govern, and defend agent ecosystems at scale.

📈 The AWS MCP Server (Preview) now publishes operational metrics to Amazon CloudWatch and adds semantic similarity search for Agent SOP discovery. Metric publishing under the AWS-MCP namespace tracks invocation counts, success rates, client and server errors, and throttling for tools such as call_aws and retrieve_agent_sop, enabling alarms and visibility into agent-driven activity. The documentation search (search_documentation) now returns relevant Agent SOPs alongside AWS docs, helping AI assistants find the correct workflows.

🤖 Cloudflare’s Workers AI now hosts frontier open-source models, beginning with Kimi K2.5, a 256k-context model that supports multi-turn tool calling, vision inputs, and structured outputs. The release enables organizations to run full agent lifecycles on Cloudflare’s Developer Platform, leveraging primitives like Durable Objects and Workflows. Cloudflare emphasizes improved price-performance, prefix caching, a session-affinity header, and a redesigned asynchronous API to lower latency and inference costs for agentic workloads.

🤖 Between January and February 2026, AI-assisted malware development matured from experimentation into operational capabilities that materially change attack economics. What once required coordinated teams can now be executed by a single experienced developer using an AI-powered IDE, accelerating weaponization, iteration, and delivery of attacks. Enterprise productivity and development tools have become enlarged attack surfaces, while automation and agentic workflows enable faster, more evasive intrusion chains. Defenders must shift toward behavior-based detection, robust telemetry, and secure development and supply chain controls.

🔒 Unit 42 examines the security tradeoffs of agentic AI, spotlighting the early 2026 Clawdbot surge and pervasive vulnerabilities such as exposed gateways, plaintext credentials, and overbroad permissions. The piece identifies two primary threat paths: malicious model files and compromised Model Context Protocol (MCP) servers, and explains how compromised agents can act as powerful insider threats. Practical guidance includes scanning and sandboxing models, preferring trusted remote MCPs or auditing local MCP code, enforcing strict least-privilege tool access, implementing prompt-injection guardrails, and maintaining detailed logging and policy reviews.

🤖 The post proposes the orchestrator pattern to turn monolithic AI scripts into a team of specialized, distributed microservices that integrate directly with existing frontends. It demonstrates using Google's Agent Development Kit (ADK), the Agent-to-Agent (A2A) protocol, and Cloud Run to host separate researcher, judge, and orchestrator services. The design enables independent scaling, strict JSON contracts for reliable decision-making, and language-agnostic implementations. The authors emphasize production hardening: secure agent endpoints, mitigate latency across hops, and implement robust retries and error handling.

📍 Amazon has launched Amazon Quick in the AWS Asia Pacific (Tokyo) region (ap-northeast-1), enabling Japan-based customers to use its agentic AI capabilities while addressing local and regional data sovereignty requirements. The service delivers AI-powered chat, Research, Spaces, Flows, and QuickSight dashboards. The announcement states customer data will be stored and processed locally within the London region and supports in-region inference through JP-CRIS, routing inference requests exclusively within Japanese AWS Regions. Regulated industries such as financial services, healthcare, and the public sector are specifically called out as beneficiaries.

🇩🇪 Amazon Quick is now available in the AWS Europe (Frankfurt) region (eu-central-1). This launch lets customers in Germany use Amazon Quick capabilities—AI-powered chat, Research, Spaces, Flows, and QuickSight dashboards—with data stored and processed locally within the Frankfurt region. The expansion includes in-region inference via EU-CRIS, ensuring inference traffic stays inside European AWS Regions. Regulated industries such as financial services, healthcare, and the public sector can meet GDPR and local data sovereignty requirements.

🚀 Amazon Quick is now available in the AWS Europe (London) region (eu-west-2), enabling UK customers to use Amazon Quick with data stored and processed locally to meet regional requirements. The service delivers AI-powered chat, Research, Spaces, Flows, and QuickSight dashboards that act as an agentic teammate, enabling users to get answers and take actions without switching applications. In-region inference is enforced via EU-CRIS, routing requests exclusively within European AWS Regions and supporting regulated sectors such as financial services, healthcare, and the public sector.

🚀 At SQLCon 2026 in Atlanta, Microsoft detailed enhancements that position its database portfolio as a foundation for agentic AI and unified analytics across edge, PaaS, and SaaS. Key announcements include Azure SQL innovations such as GitHub Copilot in SSMS, a one‑year Savings Plan for databases, and Hyperscale advances (vector index performance, SQL MCP Server, and larger vCore options). The new Database Hub in Microsoft Fabric (early access) and enterprise security features for SQL in Fabric aim to simplify migration, governance, and AI‑driven app development.

🔒 Reco has introduced Reco AI Agent Security, a capability designed to give enterprises visibility and control over autonomous AI agents operating across SaaS environments. The tool detects agent activity beyond traditional OAuth discovery by analyzing API call patterns, service-account correlations, and automation workflow signatures in platforms like Microsoft Copilot, ChatGPT, Zapier and n8n. It consolidates agent discovery, risk analysis, and governance into Reco's existing SaaS security platform.

🤖 This article introduces Dev Signal, a prototype multi-agent system built with Google ADK, the Model Context Protocol (MCP), and Cloud Run to automate discovery, grounding, and content creation. It outlines prerequisites, project structure, and an MCP-based toolset that integrates a Reddit discovery proxy, the managed Developer Knowledge MCP for documentation grounding, and a local Nano Banana Pro image generator. The piece explains secure secret handling, subprocess-based local tooling, and the ADK modular design to accelerate development.

🚀 Amazon OpenSearch Service now supports OpenSearch 3.5, introducing agentic AI enhancements, improved search relevance tooling, and expanded observability capabilities. The update adds persistent agentic conversation memory to capture multi-turn context and tool reasoning, plus context management that automatically truncates and summarizes inputs to reduce LLM token costs. A redesigned no-code agent interface with MCP integration and expanded search relevance workbench—including LLM-powered evaluation and scheduled experiments—helps teams tune and validate agent-driven search experiences without code.

🗣️ Amazon Connect now supports agentic speech-to-speech voice experiences in the Europe (London) AWS Region and introduces three new voices: Pedro (es-US), Amy (en-GB) and Brian (en-GB). These agentic AI agents can understand, reason and take action across voice and messaging channels, adapting responses to match customer tone and sentiment while preserving natural conversational pacing. The expansion increases regional availability and voice variety to help organizations deliver more personalized, automated customer interactions.

🌐 Amazon Web Services announced that Amazon Connect voice AI agents now support 13 additional languages, bringing the total supported locales to 40. New additions include Arabic (Saudi Arabia), Czech, Danish, Dutch (Belgium), English variants for Ireland, New Zealand and Wales, German (Switzerland), Icelandic, Romanian, Spanish (Mexico), Turkish, and Welsh. The update extends agentic self-service capabilities to more regions, enabling AI agents to understand, reason, and take action across voice and digital channels to automate routine and complex customer service tasks. See the Amazon Connect Administrator Guide for configuration details and the Amazon Connect website for broader product information.

🔊 Amazon Connect now offers generative text-to-speech voices in three additional AWS Regions: Europe (London), Asia Pacific (Seoul), and Asia Pacific (Sydney). The service adds nine new voices across US English, UK English, European French, German, and Italian, including Tiffany, Amy, Brian, Ambre, Florian, Tina, Lennart, Beatrice, and Lorenzo. These voices support Amazon Connect’s agentic self-service capabilities, enabling more natural, sentiment-aware voice interactions across voice and messaging channels. Organizations can deploy these voices to deliver human-like conversational experiences to a broader set of customers and locales.

🔐 At the Nvidia GTC conference CEO Jensen Huang introduced NemoClaw, a secure runtime for running OpenClaw-style agents built on the Nvidia Agent Toolkit and the broader NeMo ecosystem. Central to the offering is the open-source OpenShell runtime, which provides kernel-level sandboxing and a “privacy router” to monitor and block unsafe communications. Nvidia says NemoClaw is hardware-agnostic though optimized for its own microservices, and aims to make edge agent deployment viable for enterprises while researchers inspect it for CVE-level flaws.

🔐 Treat AI agents as first-class identities and enforce identity-based access across systems and APIs. The author argues CISOs must move beyond prompt guardrails to explicit authentication, scoped permissions, continuous logging, and monitoring of tokens, service accounts, OAuth grants, and keys. Organizations should discover shadow AI, map agent access, and enforce intent-aware controls. Full lifecycle governance — ownership, rotation, reviews, and decommissioning — is required to prevent privilege creep and data loss while enabling safe autonomy.