10 BEST Practices for Securely Developing with AI

10 BEST Practices for Securely Developing with AI

Jul 1, 2024

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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 ✍️

⏲️ 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.

Learn more about Snyk: https://snyk.co/ugLYl

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