When Defense becomes Dialogue: The Problem with LLM Security

The report explains that integrating large language models into applications creates a novel, negotiable control plane vulnerable to prompt injection and context-based manipulation, enabling attackers to coax models into revealing sensitive data or performing unauthorized actions; it cites a McKinsey chatbot incident that exposed unauthenticated API endpoints and tens of millions of internal messages and recommends production-grade AI penetration testing and mappings to OWASP LLM guidance.