AI significantly shapes the "shift left" approach in application security (AppSec) by enabling automated, real-time code analysis, identifying potential vulnerabilities early in the development lifecycle, providing context-aware recommendations to developers, and prioritizing critical security issues, effectively allowing developers to fix security problems as they code rather than waiting until later stages of development.AI willanalyze code context to better understand the intent behind code snippets, leading to more accurate vulnerability detection and reducing false positives in SAST and Open-source analysis.Most SCA scanning tools focus on manifest files which doesn't sync with source code and version-based vulnerability; hence we are 100% not sure if the engineering team uses the flagged version. AI significantly enhance the perspective of SAST/SCA/DAST/Vulnerability scanning and Pentest in software security.
I would like to present real time examples how AI can significantly enhance SAST/SCA/DAST/Vulscanning/Pentest (the important 5 pillars of software security). I wanted to explain how AI algorithms can prioritize vulnerabilities based on their severity and potential impact, helping developers focus on the most critical security issues first. I also wanted to talk about skillset improvements.