How to Protect Your Sensitive Data from AI Accidents
The Open Worldwide Application Security Project (OWASP) released multiple versions of the “OWASP Top 10 For Large Language Models,” showing the evolving nature of AI and ways it can be compromised. Here are three tips to protect your secrets from accidental disclosure.
Tip 1: Rotate your secrets
Review your entire commit history and use a tool like Has My Secret Leaked to identify if your secrets are leaked. Once your secrets are rotated, ensure the old ones are disabled to prevent unauthorized access.
Tip 2: Clean your data
Use open-source tools to scan your training data for secrets before feeding it to your AI to ensure the AI never knows your sensitive data.
Tip 3: Patch Regularly & Limit Privileges
Set up guardrails around what the AI or app can do by limiting access to any data or functionality they do not absolutely need.
t/f Summary: What’s Next
Large language models hold great potential, but they’re not yet mature technology. Secure your data by rotating your secrets, cleaning your data, and limiting privileges.
Keeping sensitive data secure from accidental leaks by large language models is crucial. Utilizing tools and thorough review of your data can help identify and prevent potential breaches. As large language models continue to evolve, it’s essential to prioritize the security of your sensitive information.