Amazon CodeGuru Security now supports security and code quality scans for Amazon SageMaker Studio and Jupyter notebooks. This new capability assists notebook users in detecting security vulnerabilities such as injection flaws, data leaks, weak cryptography, or missing encryption within the notebook cells. Users can also detect many common issues that affect the readability, reproducibility, and correctness of computational notebooks, such as misuse of ML library APIs, invalid execution order, and nondeterminism. When vulnerabilities or quality issues are identified in the notebook, CodeGuru generates recommendations that enable users to remediate those issues based on AWS security best practices.