Cybersecurity

A deep-dive red-teaming experiment testing 10 prompt injection patterns against Claude Code's configuration file. Learn which defense strategies actually stop data leaks and unauthorized access.

Following OpenAI's announcement of a partnership with the U.S. Department of Defense, ChatGPT saw a massive 295% spike in uninstalls, while competitors like Claude experienced significant growth.

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.

Amazon Web Services reveals that a 13-hour outage in its China region was triggered by Kiro, an internal AI coding agent, though the company places the ultimate blame on human oversight regarding permissions.

OpenAI has launched new security features for ChatGPT Enterprise and Team users, including Lockdown Mode and Elevated Risk labels, designed to thwart prompt injection attacks and unauthorized data exfiltration.

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.

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.

A comprehensive guide for developers on securing LLM inputs, preventing prompt injection, and ensuring compliance with HIPAA/GDPR using automated tools and n1n.ai API management.

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.

Recent research highlights a critical vulnerability in ChatGPT and other LLMs where indirect prompt injections lead to data theft, raising questions about whether the core architecture of generative AI can ever be truly secure.