All news with #agentic ai tag

🔒 Microsoft and Armada are integrating Azure Local and Foundry Local into Armada’s Galleon modular datacenters to provide a customer-controlled cloud for intermittently connected, contested, or fully disconnected environments. The validated reference architecture supports Azure Local control plane and managed clusters with multi-rack scalability, flexible hyperconverged or SAN-backed storage, and resilient multi-network connectivity including satellite, LTE/5G, RF, and SD-WAN. Designed for defense, public safety, energy, and other regulated sectors, the solution preserves Azure’s cloud operating model while enabling local AI inference and analytics to meet sovereignty, latency, and regulatory requirements.

🛡️ AI agents are shifting enterprise automation from passive assistants to autonomous actors, creating new security challenges centered on access, autonomy, and identity governance. The article groups agents into three types—agentic chatbots, local agents, and production agents—and outlines how each carries distinct operational capabilities and risk profiles. For CISOs, the immediate priority is discovering and governing agent identities, limiting over-permissioned access, and aligning permissions with an agent’s intended purpose.

🔒 The weaponization of AI is compressing the attack lifecycle and outpacing traditional defenses. Platforms like PlexTrac consolidate cloud misconfigurations, identity risks, application flaws, and pentest findings into a unified, dynamic view of exposure. Combined with Agentic AI for continuous threat assessment and automated remediation, organizations can prioritize actionable risk, orchestrate fixes, and validate controls at machine speed.

🤖 Dev Signal is a multi-agent system designed to turn raw community signals into reliable technical guidance by automating the path from trend discovery to expert content creation. It relies on the Model Context Protocol (MCP) to standardize integrations with Reddit, Google Cloud Docs, and a custom Nano Banana Pro MCP server, all coordinated by a Root Orchestrator that manages three specialist agents. A dual-layer memory model uses Vertex AI for long-term embeddings while the Session Service preserves short-term state, with automated callbacks and tools (save_session_to_memory_callback, PreloadMemoryTool, LoadMemoryTool) to persist and fetch user preferences and stylistic signals.

🔐 This post summarizes the OWASP Top 10 for Agentic Applications (2026) and explains how Microsoft applies practical mitigations using Copilot Studio and Agent 365. It highlights that agentic systems merge application, identity, and data risk and can act autonomously across workflows, amplifying the consequences of failures. The article lists ten failure modes — including goal hijack, tool misuse, identity abuse, memory poisoning, and rogue agents — and outlines development and operational controls such as containment, scoped permissions, observability, and lifecycle governance to reduce exploitation and cascading impact.

🔒 APIs are increasingly the enterprise perimeter, and recent breaches show traditional protections often miss API-layer abuse. Security teams report attacks that exploit business logic or use stolen credentials, which EDR and WAF tools can treat as legitimate traffic. CISOs are adopting API governance, centralized inventories, identity-aware access controls, and API gateways integrated into CI/CD to enforce least-privilege and reduce misconfiguration risk. As agentic AI and automated agents proliferate, stronger token handling, credential rotation, and real-time behavioral monitoring are becoming essential.

🤖 Enterprise GRC teams often have the technical capability to deploy agentic AI but stall over a deeper concern: identity and role. Agents can replace operational tasks—evidence gathering, control testing, remediation tracking—but they still require human-defined logic for risk appetite, remediation criteria, and context. Anecdotes builds agentic GRC that automates operations while relying on practitioner judgment. The outcome is an opportunity for practitioners to reclaim time to focus on true risk management rather than program maintenance.

🎥 RSAC 2026 concluded with AI agents taking center stage across sessions and discussions. ESET Chief Security Evangelist Tony Anscombe, on the ground for the conference, highlights that AI was discussed both as a strong defensive capability and, more urgently, as a growing risk many organizations have not yet fully addressed. Watch the video for concise, practical takeaways from the event, where ESET delivered a record six presentations.

🔒 This post explains how financial institutions should augment traditional security frameworks with AI-specific controls when deploying agentic AI. It emphasizes two foundational capabilities—comprehensive observability of agent workflows and fine-grained tool access controls—to preserve explainability and accountability. The author presents seven design principles and actionable implementation guidance, referencing SR 11-7 and practical AWS tooling such as Amazon Bedrock AgentCore and monitoring integrations.

🔒 A PwC report finds AI is now the top cybersecurity investment priority for defenders as criminals rapidly weaponize generative models. The firm's Annual Threat Dynamics 2026 study warns adversaries are using AI to accelerate malware development, automate reconnaissance and scale social engineering, including via dark‑web LLMs. PwC cites agentic tools like ReaperAI being repurposed in real campaigns, but also stresses that AI can empower defenders with faster detection, automated containment and intelligence‑led decision‑making when embedded into security strategies.

📦 AWS introduces the Agent Plugin for AWS Serverless, which integrates AI coding assistants like Kiro, Claude Code, and Cursor to simplify building, deploying, troubleshooting, and managing serverless applications. The plugin packages reusable agent skills, sub-agents, hooks, and MCP servers to provide contextual guidance across the development lifecycle. It supports Lambda integrations with common event sources, IaC workflows via SAM and CDK, long‑running stateful patterns with durable functions, and API design with API Gateway. Skills are distributed in the open Agent Skills format and are available in AI tooling that supports agent plugins or skills.

⚠️ AI agents embedded across SaaS environments can render the traditional kill chain ineffective when they are compromised. The piece cites a September 2025 Anthropic disclosure where a state-backed actor used an AI coding agent to perform autonomous espionage, handling the majority of tactical operations. Because agents already hold broad permissions and move data as part of normal workflows, a breach looks like legitimate activity. Reco is positioned as a solution to discover agents, map blast radius, enforce least privilege, and detect anomalous agent behavior in real time.

🔐 CrowdStrike introduces Charlotte AI AgentWorks and Charlotte Agentic SOAR to enable agentic security operations that orchestrate context-aware agent fleets and automate responses at machine speed. The platform integrates frontier models from Anthropic, NVIDIA and OpenAI and leverages Falcon telemetry, threat intelligence, and industry partners to keep agents context-aware and secure. Built-in guardrails preserve human oversight and governed autonomy while mission-ready agents handle tasks from triage to malware analysis. Customers report sharply reduced manual workloads, restored analyst capacity, and improved decision accuracy.

🧭 This article presents a practical framework for governing AI agents by aligning user, developer, role-based, and organizational intent. It prescribes a precedence model—organization, role, developer, then user—to resolve conflicts and preserve security and compliance. The authors illustrate expected agent behaviors (refuse, escalate, clarify, or proceed) and advocate for guardrails, least-privilege access, continuous evaluation, telemetry, and human-in-the-loop controls to sustain safe, reliable agent operations.

🔒 Gartner's inaugural Market Guide for Guardian Agents defines a new enterprise control layer that supervises AI agents to keep their actions aligned with organizational goals and boundaries. The article stresses risks from unmanaged non-human identities—so-called identity dark matter—and lists mandatory capabilities across visibility, continuous assurance, and runtime enforcement. It urges enterprises to adopt an enterprise-owned guardian layer rather than relying solely on platform-native controls.

🤖 Early this year, enterprises began experimenting with autonomous, agentic tools such as Anthropic’s Claude Cowork and the open-source OpenClaw, which can access apps, files and the web to execute multi-step workflows on users’ behalf. Proponents highlight large efficiency gains and the ability to offload routine IT tasks to non-technical staff, while security researchers warn of misalignment, prompt‑injection flaws and unintended destructive actions. IT leaders are advised to permit controlled experimentation, enforce strict permissions and monitoring, and invest in clean operational context to reduce amplified mistakes and limit shadow‑AI risk.

🚀 At KubeCon + CloudNativeCon Europe 2026, Microsoft outlined coordinated open-source and AKS enhancements designed to bring AI workloads to Kubernetes with enterprise-grade operational patterns. Upstream work includes DRA reaching GA, Workload Aware Scheduling for Kubernetes 1.36, DRANet Azure RDMA compatibility, and new projects such as AI Runway, HolmesGPT (CNCF Sandbox), and Dalec. AKS platform updates add identity-aware networking with Azure Kubernetes Application Network, meshless Istio routing, WireGuard and Cilium-based encryption, built-in GPU telemetry into managed Prometheus/Grafana, per-flow L3/L4 and L7 observability, a managed Cilium cluster mesh via Fleet Manager, Elastic SAN shared storage, AKS Desktop GA, and safer upgrades with blue-green agent pool upgrades and agent pool rollback.

🔒 Google Cloud outlined a coordinated set of AI-driven security advances at RSAC ’26, anchored by the completed acquisition of Wiz and new agentic defense capabilities. The company highlighted Mandiant's M-Trends 2026 findings on rapid adversary operations and published guidance on AI risk and resilience. Previewed offerings include Google Security Operations with autonomous triage agents, dark web intelligence powered by Gemini, and expanded protections across model, data, and network security.

🔐At the NRF Big Show in January 2026, Google introduced the Universal Commerce Protocol (UCP) and highlighted compatibility with the Agent Payments Protocol (AP2), promising tokenized payments and verifiable credentials. Unit 42 warns that indirect prompt injection—where agents ingest hidden instructions while browsing—can enable novel fraud such as gift card payload poisoning and refund logic hijacking. Industry forecasts (Bain, McKinsey) predict substantial agentic commerce adoption, increasing the attack surface. Recommended mitigations include protocol guardrails (AP2), Know Your Agent, agent reputation scoring, Unit 42 AI Security Assessments and Prisma AIRS.

🔊 Amazon Bedrock AgentCore Runtime now supports WebRTC for low-latency, bidirectional streaming between clients and agents, enabling real-time audio and video in browser and mobile applications. WebRTC complements existing WebSocket support by providing peer-to-peer, UDP-based media transport optimized for voice agents and other media-intensive experiences. AgentCore Runtime supports managed TURN via Amazon Kinesis Video Streams, third-party providers, or self-hosted TURN, and the capability is available in 14 AWS Regions.