LLM Security in 2025: Risks, Examples, and Best Practices
Summary
An overview of LLM security risks for 2025, featuring the OWASP Top 10 for LLM Applications and operational best practices for securing AI workloads.
Key quotes
LLM security is a subset of the broader domain of generative AI (GenAI) security.
Runtime visibility ensures you can detect and stop threats like prompt injections, adversarial inputs, or data exfiltration as they occur—rather than after damage is done.
The article details common vulnerabilities in large language models, including prompt injection and data poisoning, and recommends implementing runtime monitoring and strong access controls. It specifically aligns its risk categories with the OWASP Top 10 framework for LLM applications.