Securing and governing models with LLMOps

In the context of LLMs, the intersection of security and governance is a domain of growing importance. The Open Web Application Security Project (OWASP) has identified the top 10 risks specifically for LLMs, providing a structured approach for mitigating potential threats that these advanced systems face. Addressing these risks through effective governance strategies is essential for establishing a secure, transparent, and accountable artificial intelligence (AI) infrastructure within an organization.

Managing OWASP risks in LLMs

The OWASP highlights several risks particular to LLMs, requiring rigorous strategies to mitigate these issues effectively:

• Prompt injection:

  To safeguard against prompt injections, which are manipulative inputs designed to deceive LLMs, organizations must implement comprehensive input validation measures. Techniques such as setting input length restrictions, filtering out special characters, and utilizing...