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HIGH AI Guardrails Fail Multilingual Jailbreak Tests in Europe // FIRST LOOK AI Agent Security Shifts From Visibility to Enforcement Controls // HIGH Hermes AI Agent Automates Post-Exploitation Attack on Thai Finance Ministry // FIRST LOOK Google Gemma Tech Brings 28.9M LLM to ESP32 Microcontrollers // HIGH AI Coding Agents Exploited via Hallucinated Package Names // FIRST LOOK AWS Adds Bedrock Guardrails Best Practices for Code Generation // FIRST LOOK Anthropic Brings Voice Mode to Claude Opus and Sonnet Models // FIRST LOOK Anthropic and OpenAI Open Vetted Cyber Programs for Offensive Researchers // HIGH Threat Actor Trim Weaponises AI Jailbreaks for Offensive Ops // HIGH Fake Claude App via Bing Ads Delivers SectopRAT Malware //
META-AI

Meta-Ai

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Meta Releases AgentKits with 60 Production-Ready Agent Blueprints

Meta Releases AgentKits with 60 Production-Ready Agent Blueprints

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 Meta AI (via HN)

AgentKits ships 60 open, free AI agent blueprints covering 30 operational categories — from incident response and access provisioning to HR screening and fraud detection — complete with copyable system prompts, tool definitions, and workflow architectures targeting Claude, OpenAI, LangGraph, and n8n. The free, no-login distribution model dramatically lowers the barrier for adversaries to study, clone, or weaponise production-grade agent architectures, including sensitive categories like SecOps triage, access provisioning, and compliance monitoring. Defenders must treat these blueprints as publicly documented attack playbooks and audit any internally deployed instances against their documented worst-case actions and trust levels.

Llama Guard 4 Jailbreak Detection Vulnerable to Prompt Injection

Llama Guard 4 Jailbreak Detection Vulnerable to Prompt Injection

ATLAS OWASP LOW Limited impact · Standard review ▲ 7.2 Hugging Face Blog

Meta has released Llama Guard 4, a 12B multimodal safety classifier designed to detect and filter unsafe content in both image and text inputs/outputs for production LLM deployments. The model addresses jailbreak attempts and harmful content generation across 14 hazard categories defined by the MLCommons taxonomy. Alongside it, two lightweight Llama Prompt Guard 2 classifiers (86M and 22M parameters) target prompt injection and prompt attack detection.

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