Why Traditional SAST Fails on AI-Generated Code

AI didn't just speed up software development, it fundamentally changed the application attack surface. Traditional security scanners produce endless backlogs of unprioritized findings, leaving security teams struggling to identify what actually matters before code hits production.

In this webcast, Mend.io AppSec experts unpack how to build a modern AI application security program that covers the entire software lifecycle, from code co-creation to runtime protection. Learn how Mend AI, Mend SAST, and Mend SCA help engineering teams secure AI agents, eliminate false positives, and block active runtime threats.

Watch the webcast recording on BrightTALK: https://www.brighttalk.com/webcast/15811/673058

⏱️ Timestamps:

00:00 - Introduction: The Evolution of AI-Driven Risk

02:15 - Why Traditional SAST Struggles with AI-Generated Code

06:40 - Uncovering the Shadow AI Attack Surface: Agents, Models, and MCP Servers

11:30 - Agentic SAST Triage: Eliminating Alert Fatigue and False Positives

17:10 - Securing AI Agent Configurations against Prompt Injection

23:45 - Bridging the Gap: Combining Shift-Left Scanning with Runtime Guardrails

30:15 - Live Demonstration: Mend AI across the Software Lifecycle

40:00 - Q&A: Practical Strategies for Enterprise AppSec Teams

#AppSec #AISecurity #DevSecOps #MendAI #SoftwareSecurity #Cybersecurity