How to Decide Whether Vulnerability Remediation Augmented by Generative AI Reduces or Incurs Risk

Software security vendors are applying Generative AI to systems that suggest or apply remediations for software vulnerabilities. This tech is giving security teams the first realistic options for managing security debt at scale while showing developers the future they were promised; where work is targeted at creating user value instead of looping back to old code that generates new work. However, there are certain concerns with the risks of utilizing Generative AI for augmenting vulnerability remediation. Let’s explore this rapidly evolving landscape and how you can reap the benefits without incurring the risks. 
What Risks Generative AI Augmented Vulnerability Remediation Solutions Could Pose 
Legal challenges to data sourcing expose the risk of training Generative AI models on all code. Unfortunately, that hasn’t stopped many vendors from taking the position that a model trained on open-source code is sufficiently safe from IP and code provenance concerns.  
Not all code is equally…