AI Security

A deep dive into the recent security vulnerability in the AI coding tool Cline, where prompt injection led to the unauthorized installation of OpenClaw, highlighting the systemic risks of autonomous agents.

An in-depth analysis of the Moltbook security failure, where an AI-agent social network exposed real user data, alongside updates on Apple's Lockdown mode and Starlink's geopolitical shifts.

Recent research reveals that memory poisoning can compromise 87% of an AI agent's decision-making within four hours. Learn how to secure your LLM applications against this silent threat.

A deep dive into prompt injection vulnerabilities in Large Language Models, covering direct and indirect attacks, RAG poisoning, and production-ready defense strategies for modern AI applications.

A deep dive into the Moltbook security breach where 1.5 million API keys and agent data were exposed due to missing Row-Level Security in Supabase.

An in-depth analysis of OpenAI's security framework for AI agents, focusing on preventing prompt injection and data exfiltration when agents browse the web.

As autonomous agents and shadow AI become enterprise risks, VCs are pouring capital into AI security startups like Witness AI to secure the next generation of LLM deployments.

Security researchers have demonstrated a sophisticated multi-stage attack against Microsoft Copilot that allows for data exfiltration from chat histories, persisting even after the session is closed.

An in-depth review of AprielGuard, the latest safety framework designed to protect LLMs from adversarial attacks and harmful content, and how to integrate it with the n1n.ai API aggregator.