Securing LLM Applications: Beyond the New OWASP LLM Top 10

Have you heard of the new OWASP Top 10 for Large Language Model (LLM) Applications? If not, you’re not alone. OWASP is famous for its “Top 10” lists addressing security pitfalls in web and mobile apps, but few realize they’ve recently released a dedicated list for LLM-based systems.

With AI chatbots, text generators, and agentic AI architectures proliferating in DevOps pipelines and customer-facing apps, traditional web security scanning tools can’t detect the new vulnerabilities these models introduce. Why? LLMs generate creative responses by iteratively refining a probability distribution to match real-world data. That same “creative” nature means these models can also perform unanticipated or malicious actions if exploited — especially in an environment where they can chain commands or orchestrate other tools.