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Semgrep Code

Finally - a SAST solution where developers actually fix the majority of issues they see.

Scan 30+ languages with high-confidence rules that make remediation easy.

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Trusted by top companies

Developers trust Semgrep findings

600+

Pro rules

Pro rules are high confidence rules written for alerting in the developer workflow

95%

Code scans < 5 min

Semgrep Code scans are faster than a developer's commit workflow

Dev Akhawe Testimonial

Developers actually fix issues with Semgrep Code + Semgrep Assistant

Auto-triage findings

  • Semgrep Assistant uses GPT-4's understanding of code, alongside prompts specific to Semgrep rules, to determine when security findings are false positives.

  • Recommendations include context and reasoning that allow developers to quickly and easily verify the correctness of suggestions/fixes.

Auto-fix code

  • When Semgrep Assistant identifies a true positive, it recommends an autofix for remediation. Hallucinations are mitigated by secondary prompts that review a diff for various failure modes.

  • Generated fixes are easy to verify, and helpful for engineers even when they need additional input.

Drive awareness of secure design

In addition to reducing the time developers spend sourcing information, the context and explainability Semgrep provides ensures that developers still learn and build their understanding of secure coding practices over time.

Supports 30+ frameworks and technologies

Python Logojava iconGo-logoRuby LogoJS-logoTypescript-logoPHP ThumbnailC++C++bitbucket logoJenkins logoCircle CI logo

Easy management of all developer touchpoints

  • Easily control exactly which findings developers see and where they see them based on rule accuracy.

  • Surface high-confidence findings, alongside Assistant recommendations, natively in the developer environment (PR comments, Jira tickets, etc)

Rule and Workflow Diagram

Easy to optimize, easy to scale

  • Leverage metrics like fix-rate to naturally optimize and improve your AppSec program over time (no PhD required).

  • Manage all findings in one place - filter by projects, severity, branch, or by specific rulesets.

  • Integrate with Jira and Slack, or use our API to connect directly to your security alerting tool / dashboard.

Code Mockup

Powered by Pro Engine + Pro rules

  • Identify more true positives with Pro Engine capabilities like cross-file and cross-function analysis.

  • Reduce false positives with Pro rules that leverage cross-file analysis to surface high-confidence findings.

  • Easily write and manage custom rules - Semgrep rule syntax is intuitive and similar to source code.

Taint Rule Dataflow Analysis (edited)
Vanta logo

It's easy enough to write rules for Semgrep that security and other engineering teams use it to solve complex problems. This flexibility is a huge win, and the library of managed rules means we only have to write our own when we have custom problems.

Rob Picard, Vanta
Rob Picard

Security Lead, Vanta

Thinkific SVG logo

Getting developers aligned on a SAST product and having them actually use it is the hardest part of the job for an AppSec Engineer. We were able to achieve this with Semgrep Code.

Alek - thinkific
Aleksandr Krasnov

Staff Security Engineer, Thinkific

Vanta logo

It's easy enough to write rules for Semgrep that security and other engineering teams use it to solve complex problems. This flexibility is a huge win, and the library of managed rules means we only have to write our own when we have custom problems.

Rob Picard, Vanta
Rob Picard

Security Lead, Vanta

Thinkific SVG logo

Getting developers aligned on a SAST product and having them actually use it is the hardest part of the job for an AppSec Engineer. We were able to achieve this with Semgrep Code.

Alek - thinkific
Aleksandr Krasnov

Staff Security Engineer, Thinkific

Code analysis at ludicrous speed

Shift left without the developer productivity tax.

Book a demoLearn More
Rob Picard, Vanta
Rob PicardSecurity Lead, Vanta

It's easy enough to write rules for Semgrep that security and other engineering teams use it to solve complex problems. This flexibility is a huge win, and the library of managed rules means we only have to write our own when we have custom problems.