Business logic flaws don’t follow rules. Traditional scanners can’t catch them. Hybrid SAST changes that.
Most SAST tools work by matching patterns. They look for known weakness types, flag them, and move on. That approach catches a lot. It also misses a lot.
Business logic vulnerabilities break no rule. IDORs, authentication bypasses, broken access controls. These flaws live in the logic of how an application works, not in a line of code that matches a signature. Traditional deterministic scanners were never built to find them, so they don’t.
In this live webinar on November 19 at 11am ET, Veracode and DryRun, an AI-SAST partner from the Veracode marketplace, will talk about how customers are getting results and modernizing their security programs using a hybrid approach that closes that gap. Contextually aware LLM-based analysis examines code the way an attacker would, surfacing logic vulnerabilities that deterministic scanning can’t reach. The deterministic scanning and compliance reporting your program already depends on stays in place. You get broader coverage without starting over.
Catch more. Keep what works. Move faster.
What You’ll Learn:
- Why business logic vulnerabilities like IDORs and authentication bypasses slip past deterministic scanners entirely
- How contextually aware AI analysis examines code the way an attacker would
- What hybrid SAST looks like in practice: AI detection layered on top of proven deterministic scanning and compliance reporting
- How findings land directly in pull requests through GitHub or GitLab so developers fix issues before merge
- What this means for program management: one contract, broader codebase visibility, less operational overhead
Speakers:
James Wickett
CEO
DryRun Security
Pete Zavlaris
Senior Product Marketing Manager
Veracode