OWASP Top 10 Essential Tips for Securing LLMs: Guide to Improved LLM Safety
Blog post from WhyLabs
The Open Web Application Security Project (OWASP) has released a guide to securing large language models (LLMs), which are driving forces behind many digital tools. The OWASP Top 10 for LLMs offers developers, cybersecurity experts, and AI researchers strategies to identify and mitigate vulnerabilities in these models. These include safeguarding against prompt injection, ensuring secure output handling, preventing data and model poisoning, protecting against Denial of Service (DoS) attacks, addressing supply-chain vulnerabilities, designing secure plugins with care, minimizing sensitive information disclosure, limiting excessive agency in LLMs, avoiding overreliance on LLMs, and securing models against theft.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 71 | 3,001 | 352 | 143 | -18% |
| AI Guardrails | 5 | 118 | 47 | 22 | -31% |
| Observability | 4 | 1,046 | 231 | 92 | -25% |
| RAG | 2 | 887 | 152 | 64 | -52% |
| Vector Search | 2 | 1,312 | 195 | 85 | -52% |
| Real-time | 1 | 2,372 | 655 | 216 | -5% |
| Secrets Management | 1 | 788 | 122 | 68 | -23% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.