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DryRun Security

You'll need developers who actually understand the security feedback DryRun Security generates

It won't hold your hand through remediation. DryRun Security lives in one space: catching security vulnerabilities during code review that traditional scanners miss entirely. It analyzes pull requests with Contextual…

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You'll need developers who actually understand the security feedback DryRun Security generates. It won't hold your hand through remediation.

DryRun Security lives in one space: catching security vulnerabilities during code review that traditional scanners miss entirely. It analyzes pull requests with Contextual Security Analysis. That means it looks at data flow across your files and services—not just pattern matching against a database of known issues.

The difference shows up fast. Traditional SAST tools flag anything that looks suspicious based on regex patterns. DryRun Security reasons about whether something's actually exploitable given your specific architecture and code context. It catches logic flaws and broken authentication issues that normally require a human security expert to spot.

You get 90% less noise than traditional scanners. Twice the accuracy according to their numbers.

Zero rules to maintain. That's the pitch for AppSec teams drowning in SAST tool configuration. No spending hours writing regex patterns. No validating rule groups. The AI handles custom policy checks automatically—based on your codebase.

The Allowed Authors feature solves a specific problem. It flags when someone who shouldn't be touching sensitive files makes changes in a pull request. Useful for teams with contractors or junior developers.

DryRun Security runs over 250,000 code reviews monthly. It integrates with GitHub and GitLab. Works with development tools like Cursor.

There's a free plan if you want to test it on your repos first.

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Frequently asked

7 questions
How is DryRun Security different from traditional SAST tools?
Traditional SAST tools use pattern matching and regex to flag potential issues, which creates tons of false positives. DryRun Security uses AI to understand your actual code context—data flow, architecture, change history—so it can tell if something's really exploitable or just looks suspicious. You get 2X better accuracy with 90% less noise, and there's zero rules to maintain.
Does DryRun Security integrate with GitHub?
Yes, it integrates directly with GitHub and GitLab for automated pull request reviews. It also works with development tools like Cursor, Claude Desktop, and sends notifications through Slack. The security checks happen in near real-time as developers submit code changes.
What types of vulnerabilities can DryRun Security detect?
It catches logic flaws and broken authentication issues that normally require a human security expert to spot. The Contextual Security Analysis engine traces data flow across files and services to find exploitable vulnerabilities, not just anything that matches a suspicious pattern. It's particularly good at finding issues traditional scanners miss entirely.
Is DryRun Security free to use?
There's a free plan available that lets you test it on your repos. They're running over 250,000 code reviews per month across their user base, so the platform handles real production workloads.
Can I use DryRun Security to enforce custom security policies?
Yes, and you don't have to write any rules or regex patterns. The AI handles custom policy checks automatically based on your codebase. There's also an Allowed Authors feature that flags when unauthorized developers touch sensitive files in pull requests.
What are the limitations of DryRun Security?
It won't walk you through fixing the vulnerabilities it finds—you need developers who can actually understand and act on the security feedback. It's focused purely on detection during code review, not remediation guidance.
When should I use DryRun Security instead of hiring a security team?
You still need security expertise to handle the findings, but DryRun Security works best when you want automated security reviews on every pull request without waiting for manual reviews. It's ideal for AppSec teams who are tired of configuring and maintaining traditional SAST tools, or engineering teams that need to catch vulnerabilities before they hit production.

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