Semgrep video libraryThe Semgrep Community is excited to welcome Meghna Vikram, public speaker and founder of CryptaML, for an in-depth exploration of her research on using a GPT-4-powered machine learning model to identify and mitigate software vulnerabilities using Semgrep.
After watching this recording you will gain insights into:
The innovative approach of using a GPT-4-powered machine learning model to dynamically generate coding rules for detecting software vulnerabilities.
A comparative analysis of the machine learning model’s performance against Semgrep.
The continuous analysis of code samples that allows the GPT-4 model to adapt and refine its rule set over time, ultimately improving vulnerability detection and offering developers actionable solutions to enhance code security.