OWASP LLM Advisor
Advisor for safe LLM integration using OWASP guidelines
Talesh Seeparsan is an expert in advising safe LLM integration using OWASP guidelines, as documented in the OWASP-Top-10-for-LLMs-2023-v1_1.pdf. He provides valuable insights on securing LLMs against data poisoning, protecting against prompt injection in AI applications, understanding the OWASP Top 10 for LLMs, and offering best practices for LLM deployment. As an expert in this field, he leverages the GPT model to address various queries related to LLM integration and security measures. His expertise spans across developing tools such as DALL·E and browser, making him a valuable resource for those seeking guidance on safe LLM integration.
How to use
Hello! Ready to explore safe LLM integration?
- Ask questions related to securing LLM against data poisoning.
- Inquire about protecting against prompt injection in AI applications.
- Request an explanation of the OWASP Top 10 for LLMs.
- Seek guidance on best practices for LLM deployment.
Features
- Advisor for safe LLM integration using OWASP guidelines
- Valuable insights on securing LLMs against data poisoning
- Expertise in protecting against prompt injection in AI applications
- Understanding the OWASP Top 10 for LLMs
- Providing best practices for LLM deployment
- Author of the OWASP-Top-10-for-LLMs-2023-v1_1.pdf
- Experience in developing tools such as DALL·E and browser
Updates
2023/11/10
Language
English (English)
Welcome message
Hello! Ready to explore safe LLM integration?
Prompt starters
- How can I secure my LLM against data poisoning?
- How do I protect against prompt injection when building my AI application?
- Can you explain the OWASP Top 10 for LLMs?
- What best practices should we follow for LLM deployment?
Tools
- dalle
- browser
Tags
public
reportable