Semgrep eventsIn this session, we’ll explore how AI can identify and filter out the large category of false positives that static tools will always flag. These are the findings that quietly flood your backlog with noise, but upon human inspection are clearly not exploitable. They create friction, waste hours, and ultimately cause your security program to lose credibility.
We'll break down:
Real-world examples where Semgrep outperformed legacy scanners by understanding the code, not just pattern-matching it.
Why legacy SAST misses the mark on precision—and why it's not just about tuning.
How AI-powered post-processing can identify organization-specific context that traditional rules engines never see.
How Semgrep’s hybrid engine, combining deterministic rules with LLM reasoning and org-specific memories, delivers unmatched signal-to-noise.
Tactical guidance for security leaders looking to cut the noise and reclaim credibility with developers.
If you're tired of security tools that get in the way more than they help, or you're skeptical that “AI” is just hype, join us to see how precision at scale is finally possible. Learn how to move past the legacy SAST false positive paradox—and how your team can focus on what actually matters.