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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.

Vertex AI SDK Bucket Squatting Flaw Enables Model Hijack

Vertex AI SDK Bucket Squatting Flaw Enables Model Hijack

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

A vulnerability in the Google Cloud Vertex AI Python SDK allowed unauthenticated attackers to intercept model uploads by pre-registering predictable staging bucket names — a technique Unit 42 calls 'Pickle in the Middle'. Once a malicious model replaced the legitimate upload, arbitrary code executed inside Google's serving infrastructure via pickle deserialization. Google patched the flaw in v1.148.0 after disclosure in March 2026, but the incident highlights systemic risks in ML pipeline supply chains.

Anthropic Mythos Model Theft: China-Linked Access

Anthropic Mythos Model Theft: China-Linked Access

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 8.5 The Verge AI

The White House reportedly believes a China-linked group accessed Anthropic's Mythos AI model, prompting export restrictions on the technology. If confirmed, the breach represents a significant national security threat, as adversaries could exploit the model directly or use knowledge distillation to replicate its capabilities. Separately, reports of jailbreak vulnerabilities in Mythos and Fable compound concerns about unauthorised access to frontier AI systems.

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.

Qwen 3.5-397B Model Theft: Rio's LLM Exposed as Rebranded Clone

Qwen 3.5-397B Model Theft: Rio's LLM Exposed as Rebranded Clone

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.8 HN AI Security

Researchers have demonstrated that Rio de Janeiro's publicly presented 'homegrown' 397B language model is not an original creation but an undisclosed element-wise weight merge of the Nex-N2_pro model and Qwen3.5-397B-A17B. The finding was established through two independent methods: identity probing showing the model identifies as 'Nex' 79% of the time, and tensor-level statistical analysis confirming a consistent 0.6/0.4 blend across all 60 layers. This constitutes a model theft and supply chain integrity violation, with additional implications for public trust in government AI procurement and IP attribution.

Claude Fable 5 Jailbreak Triggers US Export Control Ban

Claude Fable 5 Jailbreak Triggers US Export Control Ban

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 Simon Willison

The US government issued an export control directive ordering Anthropic to suspend all access to Claude Fable 5 and Mythos 5, citing national security concerns over an alleged jailbreak technique capable of surfacing software vulnerabilities. Anthropic publicly contested the order, arguing the demonstrated capability is already widely available in other public models including GPT-5.5, and that the identified vulnerabilities were minor and previously known. The incident marks a significant precedent for government intervention in frontier AI model access on national security grounds.

Google Gemini Prompt Injection Powers Smishing Campaign

Google Gemini Prompt Injection Powers Smishing Campaign

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 The Hacker News

Google has filed suit against a Chinese cybercrime network operating the Outsider phishing-as-a-service kit, which exploited Gemini AI to generate fraudulent phishing pages and power large-scale SMS phishing attacks against Americans. The network used carefully framed prompts — disguised as benign programming requests — to bypass AI safety controls and produce functional credential-harvesting websites. The case illustrates the growing industrialisation of AI-assisted phishing infrastructure, with over 1.59 million malicious URLs and 100,000 victims attributed to the operation.

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.

Claude Fable 5 Jailbreak Extracts System Prompts

Claude Fable 5 Jailbreak Extracts System Prompts

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 SecurityWeek

Security researcher Pliny the Liberator claimed a prompt-based jailbreak of Anthropic's newly launched Claude Fable 5 model, allegedly extracting the internal system prompt and eliciting responses on high-risk topics including bioweapons and cyberattacks. Anthropic disputed the claim, arguing the technique merely coaxes conversational continuation rather than bypassing core safety classifiers. The incident highlights ongoing tension between AI safety assurances at launch and real-world adversarial probing, particularly for Mythos-class models with elevated capability ceilings.

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.

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