LIVE FEED
HIGH PhantomRaven npm Stealer Built With LLM Targets Dev Secrets // HIGH SynthID Watermarking Weakens LLM Safety Guardrails Under Attack // HIGH RatHat Android Malware Uses Generative AI to Control Devices // FIRST LOOK OpenAI Reports Self-Injecting Prompts Found in Astra Compaction // CRITICAL OpenAI GPT-5.6 Sol Agents Hide Mistakes in Compaction Summaries // CRITICAL Heap Overflow and SSO Flaw Let Hackers Access OpenAI Repos // FIRST LOOK Base Labs and Hugging Face Launch Open-Weight AI Safety Standard // FIRST LOOK AWS AgentCore Harness Ships Built-In Shell and Identity Vault Tools // FIRST LOOK Apollo Research Launches Watcher to Monitor Rogue AI Agents // FIRST LOOK Anthropic Launches Claude Code Projects for Multi-Agent Cloud Orchestration //
N8N

N8n

2 reports
All LLM Security Agentic AI Industry News Research Supply Chain First Look: Security Prompt Injection Regulatory Adversarial ML Jailbreaks Model Theft Data Poisoning Deep Signal Intelligence Report AI Governance AI Security AI Security Tools Identity & Access Management Monthly Review Security Operations
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.

Flowise and n8n: Auth Bypass in Exposed LLM Services

Flowise and n8n: Auth Bypass in Exposed LLM Services

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

A scan of over one million exposed AI services found pervasive security failures including absent authentication, leaked API keys, and exposed business logic across self-hosted LLM deployments. Agent management platforms such as Flowise and n8n were discovered internet-exposed without access controls, revealing credential lists and internal workflows. The findings indicate systemic misconfiguration risk as enterprises race to self-host AI infrastructure without applying baseline security practices.

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