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Explore how artificial intelligence transforms the "shift left" approach in application security through this 50-minute conference talk from LASCON. Discover how AI enables automated, real-time code analysis to identify vulnerabilities early in the development lifecycle, providing context-aware recommendations that help developers fix security issues as they code rather than waiting for later development stages. Learn how AI analyzes code context to better understand the intent behind code snippets, leading to more accurate vulnerability detection and significantly reducing false positives in Static Application Security Testing (SAST) and open-source analysis. Examine the limitations of current Software Composition Analysis (SCA) scanning tools that focus primarily on manifest files without syncing with source code and version-based vulnerabilities, creating uncertainty about whether engineering teams actually use flagged versions. Understand how AI significantly enhances the five critical pillars of software security: SAST, SCA, Dynamic Application Security Testing (DAST), vulnerability scanning, and penetration testing through real-time examples and practical demonstrations. Gain insights into how AI algorithms can prioritize vulnerabilities based on severity and potential impact, enabling developers to focus on the most critical security issues first, while also exploring the skillset improvements that AI brings to application security professionals.
Syllabus
Anitha Dakamarri - How AI is perceived in shift left of Appsec
Taught by
LASCON