Powered by Semgrep OSS and Pro Engine
Trusted by top companies
Pro rules are high confidence rules written for alerting in the developer workflow
Code scans < 5 min
Semgrep Code scans are faster than a developer's commit workflow
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.
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
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)
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.
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.
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.