Snyk is slowing you down.

Stop fixing the same vulnerabilities - over and over again, one-by-one.

  • Semgrep makes rule-level SAST simple - meaning you fix classes of vulnerabilities instead of individual bugs.

  • Reachability analysis proves when a dependency vulnerability actually impacts your code. Semgrep reduces SCA false positives by 95%[1]

  • Semgrep uses AI the way your developers actually want it to be used - to speed up remediation and triage.

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"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."

Aleksandr Krasnov
Staff Security Engineer, Thinkific

"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
Security Lead, Vanta

"Figmates get actionable security feedback in their PRs, while rule analytics give security feedback on their effectiveness. The simple syntax lets us extend Semgrep to catch new [vulnerabilities], going from idea to live in an hour."

Dev Ahkawe
Head of Security, Figma
Semgrep
Snyk

Accuracy

Developers trust and action on Semgrep findings. Even when developers see false positives - an inevitability with SAST tools - they know that flagging a finding means they are less likely to see similar instances moving forward.

Snyk inundates developers with false positives and damages their trust in security teams and tools. Since Snyk doesn't offer rule-level visibility (and developers know this since they are expected to work inside Snyk's platform), the security part of their job feels like an endless grind.

Workflows

When developers engage with security findings in Semgrep, they do it from their native environment inside a pull request. All of the context and information a developer would normally seek out is presented within a PR comment, which makes actioning on a finding as frictionless as possible. Semgrep Assistant uses AI to surface suggested fixes, with explanations that make them easy to verify.

Snyk forces developers to context-switch and offers a library of resources for vulnerability types. Basic information about a vulnerability and one static example of a fix isn't enough information. Devs end up having to flip between Snyk, Stack Overflow, and ChatGPT just to fix a basic vulnerability.

Accuracy
Semgrep

Developers trust and action on Semgrep findings. Even when developers see false positives - an inevitability with SAST tools - they know that flagging a finding means they are less likely to see similar instances moving forward.

Snyk

Snyk inundates developers with false positives and damages their trust in security teams and tools. Since Snyk doesn't offer rule-level visibility (and developers know this since they are expected to work inside Snyk's platform), the security part of their job feels like an endless grind.

Workflows
Semgrep

When developers engage with security findings in Semgrep, they do it from their native environment inside a pull request. All of the context and information a developer would normally seek out is presented within a PR comment, which makes actioning on a finding as frictionless as possible. Semgrep Assistant uses AI to surface suggested fixes, with explanations that make them easy to verify.

Snyk

Snyk forces developers to context-switch and offers a library of resources for vulnerability types. Basic information about a vulnerability and one static example of a fix isn't enough information. Devs end up having to flip between Snyk, Stack Overflow, and ChatGPT just to fix a basic vulnerability.