Strategies for AI-powered software development

AI coding assistants are rapidly transforming the software development landscape, but as these tools get embedded in development workflows, the security stakes are rising. A vulnerability or defect in safety-critical software can have significant consequences. Organizations must implement effective strategies for managing AI-generated code and comprehensive application security (AppSec) testing to ensure the reliability and safety of their software.

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Download the guide to learn

  • The risks associated with AI-generated code and strategies to mitigate those risks
  • The importance of robust testing and validation procedures for safety-critical software
  • Key features to look for when evaluating AppSec tools to improve the reliability and security of your software
Strategies for AI-Powered Software Development