How Do We Integrate LLMs Security Into Application Development?

This report outlines the security risks of deploying large language models (LLMs) in business settings, highlighting attack vectors like prompt injection, insecure output handling (leading to XSS/SSRF/RCE), and training-data poisoning, and warns of potential data exposure and regulatory consequences; it recommends mitigations including input validation and sanitization, rigorous output scrutiny, safeguarding training data, strict sandboxing and access controls, and continuous monitoring and content filtering to reduce risk.