AI-Powered Application Security: Beyond Traditional Static Analysis - Seguridad Mania.com - España y América Latina

Traditional static analysis tools have well-understood limitations in detecting complex, context-dependent vulnerabilities and providing comprehensive application coverage. This session explores how large language models and AI-powered scanning capabilities are changing what's possible in application security testing. You'll learn about the emerging capabilities of AI-based security scanning, including its ability to perform human-like reasoning about application behavior without executing code, and understand where it complements - not replaces - traditional tooling. We'll discuss practical implementation patterns, cost considerations, and realistic expectations for incorporating AI-powered security analysis into your program. What we’ll cover: • Understanding the fundamental differences between AI-based scanning and traditional static analysis approaches • How LLM-powered tools can identify business logic vulnerabilities and complex security issues traditional tools miss • Practical strategies for integrating AI scanning at key development milestones without incurring prohibitive costs • Real-world patterns for combining traditional and AI-powered scanning to maximize coverage and minimize false positives