Turn noisy security scans into high-signal,
fix-ready workflows with Semgrep Multimodal
Cut false positives
Prioritize real risk
Resolve issues faster
Triage less, trust findings more, and fix issues faster
Semgrep Multimodal detects the false positives that static analysis alone could never catch by understanding the mitigating context around a finding.
Multimodal turns hours of researching a vulnerability and implementing a fix into minutes of spot-checking a generated code snippet.
Triage an issue one time, and Semgrep Multimodal will learn the organization-specific context needed to determine exploitability moving forward. No more custom rules.
Cut false positives
Prioritize real risk
Protect your code with
high-signal security
FAQs
Semgrep Multimodal combines AI reasoning with rule-based analysis to detect, triage, and help remediate vulnerabilities. It brings together deterministic static analysis and AI to reduce noise, surface real issues, and guide developers toward fixes.
Traditional SAST tools rely on pattern matching, which often results in large volumes of false positives and missed complex vulnerabilities.
Semgrep Multimodal goes further by combining static analysis with AI reasoning to understand code context, filter out noise, and identify issues like business logic flaws, broken authorization, and IDOR that traditional tools often miss.
Multimodal uses context from your codebase, prior triage decisions, and AI reasoning to determine whether a finding is actually exploitable. Over time, it learns from feedback and improves its ability to filter out irrelevant alerts.
Yes. Multimodal is evaluated using both user feedback and internal security research benchmarks, with a 96% human-agree rate across millions of findings. This helps ensure that surfaced issues are relevant and actionable.
Multimodal provides step-by-step remediation guidance directly in pull requests and developer workflows. This helps developers understand the issue and apply fixes quickly without needing deep security expertise or additional research.
Multimodal builds on static analysis rather than replacing it. It combines rule-based detection with AI reasoning to improve accuracy, reduce noise, and extend coverage to more complex vulnerabilities.
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Endorsed by users, validated by experts
SAST finds problems.
Multimodal helps you fix them
Zero blind spots
IDORs, broken auth, and business logic flaws don't follow rules. AI reasoning finds the complex vulnerabilities pattern-based SAST was never built to catch.
Less noise
Multimodal learns your codebase context to automatically filter out 60% of findings, so your team focuses on what's actually exploitable rather than chasing false positives.
Zero guesswork
Most tools stop at detection. Multimodal delivers tailored remediation guidance in the PR, saving 30 minutes per finding and cutting time to resolution by 22%.
Why security teams love Semgrep Multimodal
60% fewer findings
Multimodal learns your codebase context to automatically filter out noise, so your team triages only what's actually exploitable.
22% faster resolution
From finding to fix, the full loop moves faster. Less time investigating, less time researching, more time shipping.
30 minutes saved per finding
Skip the hours of researching a vulnerability and implementing a fix. Spot-check a generated code snippet in the PR and move on.