Home Cybersecurity Courses Secure AI Code & Libraries with Static Analysis
Secure AI Code & Libraries with Static Analysis

Secure AI Code & Libraries with Static Analysis

by Coursera
★ 8.1/10

Master AI security using Bandit, Semgrep, and pip-audit. Detect vulnerabilities in ML code and secure your models with static analysis on Coursera.

Why this course

  • Covers AI-specific vulnerabilities often ignored by general security courses
  • Hands-on labs with real vulnerable ML codebases enhance practical understanding
  • Teaches integration of security scanning into CI/CD, a critical DevSecOps skill
  • Focus on custom rule creation for TensorFlow and PyTorch adds advanced value
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