10 BEST Practices for Securely Developing with AI
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AI technology is booming, but are you aware of the hidden security risks? Join us as we explore the 10 best practices to keep your use of AI safe and secure.
Learn more about best practices for securely developing with AI in our related blog post: https://snyk.co/ug7gc
✍️ Resources ✍️
- OWASP Top 10 for Large Language Model Applications: https://owasp.org/www-project-top-10-for-large-language-model-applications/
- Blog post: https://snyk.co/ug7gc
⏲️ Chapters ⏲️
00:00 - Intro
00:09 - AI Assisted Applications
00:17 - Be Wary of Prompt Injection Attacks
00:26 - Restrict Data Access for Your LLM
00:36 - Know the OWASP Top 10 for LLMs
00:43 - Keep a Human in the Loop
00:52 - Identify and Fix Security Vulnerabilities in Generated Code
01:03 - Don't Give IP or Private Info to Public GPT Engines
01:10 - AI Models
01:13 - Use Hybrid Models Where Possible
01:19 - Use Good Training Data
01:27 - Beware of Hallucinations and Misleading Data
01:35 - Keep track of Your AI Supply Chain
01:41 - Outro
⚒️ About Snyk ⚒️
Snyk helps you find and fix vulnerabilities in your code, open-source dependencies, containers, infrastructure-as-code, software pipelines, IDEs, and more! Move fast, stay secure.
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