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Microsoft AutoGen Studio RCE via MCP Bypass

Microsoft AutoGen Studio RCE via MCP Bypass

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 9.1 Microsoft Security Blog

Researchers at Microsoft identified a three-stage exploit chain in AutoGen Studio that allows a malicious web page visited by a browsing AI agent to reach the host's local Model Context Protocol (MCP) WebSocket and spawn arbitrary processes. The chain exploits a bypassable origin allowlist, authentication middleware that excluded MCP endpoints, and unsanitised URL-derived command parameters. Although the vulnerable surface was never shipped in a PyPI release, the finding exposes a systemic architectural risk in any agent framework that combines untrusted browsing with privileged localhost services.

Orphaned AI Agents Bypass SailPoint Identity Controls

Orphaned AI Agents Bypass SailPoint Identity Controls

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 The Hacker News

Enterprises deploying internal AI agents face a growing identity accountability gap: when the employee who created an autonomous agent leaves, the agent's access tokens and credentials often remain active and unmonitored. Traditional access management tools fail to detect this risk because they treat AI agents as static software rather than identity-bearing entities capable of exfiltrating sensitive data. The problem compounds at scale as shadow AI deployments proliferate across organizations without centralised visibility or ownership tracking.

AWS Launches Amazon Quick Autonomous Agents

AWS Launches Amazon Quick Autonomous Agents

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 AWS Machine Learning Blog

AWS has launched autonomous agents within Amazon Quick, its enterprise AI assistant platform, enabling continuous background execution of tasks — including CRM updates, email drafting, compliance monitoring, and purchase order processing — across 16+ integrated business applications without requiring user intervention. This capability closes a significant operational gap for defenders and compliance teams by enabling persistent, automated monitoring of regulatory feeds, business communications, and data pipelines at a scale no human team can match continuously. Organisations will need to mature their agent governance practices — including inventory management, least-privilege scoping, and human-in-the-loop gates for sensitive actions — to realise the full defensive value of the platform safely.

CrowdStrike Launches Continuous Identity for AI Agents

CrowdStrike Launches Continuous Identity for AI Agents

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 6.8 CrowdStrike Blog

CrowdStrike's Continuous Identity for AI Agents brings persistent, trackable identity primitives to agentic workflows within the Falcon platform, extending the same governance applied to human users and service accounts to autonomous AI systems. This closes a critical visibility gap: until now, AI agents operating in SOC pipelines lacked the attribution, audit trails, and access control needed to govern their actions with the same rigor as human operators. Mature deployment will require organizations to extend existing credential hygiene practices — rotation, least-privilege scoping, and independent monitoring — to this new identity class.

Google Launches Android 17 with Gemini Omni Integration

Google Launches Android 17 with Gemini Omni Integration

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 TechCrunch AI

Android 17 embeds Gemini Omni, AudioLM, and Lyria 3 directly into core OS functions including call handling, video editing, real-time audio translation, and emergency detection on Pixel devices. This deep integration gives defenders on-device AI capabilities that can surface anomalous behaviour, support safer communications, and automate emergency response without requiring third-party tooling. Organisations adopting Android 17 in managed fleets should establish baseline permission policies and input-validation standards to ensure these capabilities mature into enterprise-grade controls.

NVIDIA Launches XR AI for Agentic AR Glasses

NVIDIA Launches XR AI for Agentic AR Glasses

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 NVIDIA AI Blog

NVIDIA XR AI is a public-beta developer SDK that embeds persistent multimodal AI agents into AR glasses, fusing live video, audio, depth, and pose sensor streams with enterprise knowledge retrieval and tool execution to give frontline workers in manufacturing, healthcare, and research hands-free access to contextual intelligence. This closes a longstanding gap between enterprise knowledge systems and the physical point of work, enabling real-time decision support directly in a worker's field of view without interrupting task flow. Realising the full security benefit of the platform requires establishing input validation baselines, scoped retrieval permissions, and plugin governance practices that are not yet standardised for physical-world agent deployments.

Amazon Bedrock AgentCore Ships with RAG and Memory

Amazon Bedrock AgentCore Ships with RAG and Memory

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 AWS Machine Learning Blog

Amazon Bedrock AgentCore now enables production-grade agentic systems that combine RAG retrieval, persistent cross-session memory, and authenticated user-facing endpoints — giving defender teams in agriculture, manufacturing, and field-service verticals a vetted, AWS-managed blueprint for deploying AI assistance in safety-critical operational environments. This architecture closes a meaningful gap for organizations that previously lacked a structured, reference-backed path to agentic AI with durable memory and knowledge retrieval integrated into existing AWS identity and data infrastructure. Teams adopting this pattern should pair it with document ingestion controls, API Gateway hardening, and memory namespace auditing to meet the maturity requirements of high-consequence deployments.

AWS Launches Agent-EvalKit for LLM-Powered Agent Evaluation

AWS Launches Agent-EvalKit for LLM-Powered Agent Evaluation

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.8 AWS Machine Learning Blog

Agent-EvalKit is an open-source AWS toolkit (Apache 2.0) that embeds structured LLM-as-judge evaluation directly into agent development workflows via Claude Code, Kiro CLI, and Kilo Code. It closes a significant defender gap by shifting agent quality assurance left — catching hallucinations, unsafe tool usage, and logic errors during development rather than after deployment, where failures are costlier to remediate. Teams integrating it should establish integrity controls around evaluation datasets and review AI-generated code recommendations as part of standard secure-SDLC practices.

Amazon Quick Launches Agentic Incident Triage Assistant

Amazon Quick Launches Agentic Incident Triage Assistant

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.8 AWS Machine Learning Blog

Amazon Quick's agentic incident triage assistant integrates New Relic's observability platform and Asana via MCP, creating a single conversational interface that autonomously queries production telemetry, surfaces error logs, and creates tracked tasks — compressing what previously required multiple context-switches into a single engineer prompt. For SRE and platform engineering teams, this closes a meaningful gap between evidence gathering and incident handoff, reducing the cognitive load and elapsed time during high-pressure triage. Teams adopting this architecture should pair it with input sanitisation controls and least-privilege connector scoping to ensure the agent's autonomous reasoning operates over validated data.

Anthropic Releases Claude Fable 5 with Jailbreak Resistance

Anthropic Releases Claude Fable 5 with Jailbreak Resistance

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 SecurityWeek

Anthropic's release of Claude Fable 5, a Mythos-class frontier model, has prompted significant industry debate over its dual-use offensive capabilities in cybersecurity and biology. The model includes a capability fallback mechanism — downgrading to Claude Opus 4.8 in high-risk domains — alongside extensive jailbreak-resistance red-teaming. Security professionals are warning that frontier AI capability investment directly accelerates attacker tooling for machine-speed, AI-orchestrated 'hyperattacks' that outpace human defenders.

Agentjacking Attack Achieves 85% Success Rate Against AI Coding Agents via Sentry MCP

Agentjacking Attack Achieves 85% Success Rate Against AI Coding Agents via Sentry MCP

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 The Hacker News

Tenet Security has disclosed 'Agentjacking', a novel attack class that exploits the implicit trust AI coding agents place in Model Context Protocol (MCP) data sources. By injecting malicious instructions into Sentry error events via publicly accessible DSN credentials, attackers can cause agents like Claude Code and Cursor to execute arbitrary code with full developer privileges. Researchers confirmed 2,388 exposed organisations and an 85% exploitation success rate in controlled testing, with no prior access to victim infrastructure required.

OpenClaw Agent Vulnerable to Prompt Injection RCE

OpenClaw Agent Vulnerable to Prompt Injection RCE

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 The Hacker News

Two independent research teams demonstrated that OpenClaw, a self-hosted AI agent, is vulnerable to prompt injection attacks delivered through shared contacts, vCards, location pins, and plain emails — enabling attacker-controlled code execution and sensitive data exfiltration. Imperva's finding, now patched in version 2026.4.23, exploited the agent's failure to mark message objects as untrusted before passing them to the underlying LLM. Varonis separately showed that a single crafted email could instruct an agent to forward mock AWS credentials and customer data to an external address, a behaviour-level risk no patch can fully remediate.

Palo Alto Exposes AI Agent Skill Supply Chain Compromise Risk

Palo Alto Exposes AI Agent Skill Supply Chain Compromise Risk

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 Palo Alto Unit 42

Palo Alto Unit 42 introduces Behavioral Integrity Verification (BIV), an audit method exposing widespread mismatches between what third-party AI agent skills claim to do and what they actually execute. Applied at registry scale, BIV identifies a dangerous subset of skills carrying multi-stage attack chains capable of credential theft, remote code execution, and silent data exfiltration. The research highlights that the AI agent skill ecosystem has grown rapidly without the supply-chain audit primitives that mobile and browser extension platforms eventually adopted after abuse.

CVE-2025-67644: LangGraph SQLi to RCE via Checkpointer

CVE-2025-67644: LangGraph SQLi to RCE via Checkpointer

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 Check Point Research

Check Point Research disclosed three vulnerabilities in LangGraph's persistence layer, two of which chain together to achieve remote code execution: a SQL injection flaw in the SQLite checkpointer (CVE-2025-67644) and an unsafe msgpack deserialization bug (CVE-2026-28277). A third parallel injection vulnerability (CVE-2026-27022) affects the Redis checkpointer. With over 50 million monthly downloads, self-hosted LangGraph deployments exposing user-controlled state history filters are directly at risk.

Excessive Agency in Deno AI Agents Demands Security Controls

Excessive Agency in Deno AI Agents Demands Security Controls

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.5 HN AI Security

Deno has released Claw Patrol, an open-source security firewall designed to sit between AI agents and production systems, intercepting and policy-gating actions before they reach critical infrastructure. The tool addresses the growing threat of excessive agency in agentic AI systems by allowing operators to write HCL rules that can block destructive operations or require human approval for sensitive actions like Kubernetes pod deletions. This represents a practical defensive tooling response to the OWASP LLM08 Excessive Agency risk, which has become increasingly acute as autonomous agents gain broader access to production environments.

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