1 year ago

Figuring out how to best identify potential vulnerabilities in a codebase, and quickly getting mitigations to these vulnerabilities into production, is a major challenge in enterprise software development. Developers can either risk ignoring a vulnerability and keep delivery on track, or invest lots of time and energy figuring out which vulnerabilities are true positives and delay their releases.

An estimated 60% to 80% of code in enterprise applications comes from third-party code (libraries, components and software development kits), largely due to the widespread use of open source software within the enterprise.

Traditional remediation methods of such vulnerabilities include static application security testing (SAST) or software composition analysis (SCA).

There is a new step in the evolution of application security that can massively reduce these problems by giving developers the information they need to prioritize vulnerabilities effectively.