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DryRun Security

by DryRun Security

Starting at

30-day free trial (no credit card); per-developer pricing by quote, reported around $19/user/month

An AI-native SAST and code security platform that reasons about code intent and exploitability in pull requests instead of pattern-matching for vulnerabilities. Designed to cut the false-positive noise that plagues traditional scanners.

Last verified: July 2026

Overview

DryRun Security is an AI-native static analysis and code security platform built around a simple observation: traditional SAST tools generate enormous volumes of findings, most of which are not exploitable, and developers learn to ignore them. Rather than running rulesets against an AST, DryRun's Contextual Security Analysis engine reasons about what a code change actually does — its intent, the trust boundaries it crosses, and whether a given weakness is reachable and exploitable in context.

How It Works

The product installs as a GitHub App and reviews pull requests as they open, posting findings inline as review comments. It analyzes the diff alongside surrounding code to understand authorization logic, data flow, and configuration changes, categories where pattern-based scanners historically perform badly. Because it operates at the pull request rather than in a nightly pipeline scan, feedback arrives while the developer still has context, which is the main driver of remediation rates. Setup is fast: install the app, point it at repositories, and a short onboarding call tunes the instance to the team's stack.

Pricing and Evaluation

DryRun does not publish self-serve pricing; plans are scoped to the number of developers and security team members using the product. A 30-day free trial is available without a credit card, and third-party listings have reported entry pricing in the neighborhood of $19 per user per month, though enterprise quotes vary. The trial-first motion is realistic for a tool whose whole pitch is signal quality — the only way to evaluate it is to run it against your own repositories and compare its findings to your incumbent scanner.

Who It Is For

This suits engineering organizations drowning in SAST noise, particularly those whose developers have stopped reading security findings entirely. It is also increasingly relevant as AI coding agents generate more code faster, since pull request-time security review becomes the practical control point. Teams that need broad, compliance-driven coverage across SAST, SCA, secrets, container, and IaC scanning in one certified platform will still want a full ASPM suite.

Pros

  • + Contextual Security Analysis reasons about exploitability rather than matching patterns
  • + Dramatically lower false-positive rate than traditional SAST tools
  • + Installs as a GitHub App in minutes with no pipeline changes
  • + Reviews every pull request inline where developers already work
  • + Catches business-logic and authorization flaws that rule-based scanners miss

Cons

  • - GitHub-centric with weaker support for GitLab Bitbucket and other forges
  • - No public self-serve pricing so evaluation requires a sales conversation
  • - LLM-based analysis means results can vary between runs on the same code
  • - Smaller vendor than Snyk or Checkmarx which matters for enterprise procurement

What Users Actually Complain About

Coverage is strongest on GitHub; teams on GitLab, Bitbucket, or self-hosted forges will find integration support thinner than with established scanners. The absence of published pricing frustrates smaller teams who want to evaluate without a sales call. Because analysis is LLM-driven rather than deterministic, findings are not perfectly reproducible run-to-run, which complicates compliance workflows that require auditable, repeatable scan evidence. As a smaller vendor, it lacks the compliance certifications, language breadth, and procurement familiarity of Snyk, Checkmarx, or Veracode, which can stall enterprise adoption regardless of technical merit.

Skip it if:

Avoid DryRun Security if you need a single certified platform covering SAST, SCA, secrets, containers, and IaC for audit purposes — it is deliberately narrow. Skip it if your code lives outside GitHub, where integration support is weaker. It is also the wrong choice if your compliance regime requires deterministic, reproducible scan results with a fixed ruleset, since LLM-based contextual analysis cannot guarantee identical output across runs.

Based on community feedback from Reddit, HN, and G2 reviews.

Frequently Asked Questions

What is DryRun Security?

An AI-native SAST and code security platform that reasons about code intent and exploitability in pull requests instead of pattern-matching for vulnerabilities. Designed to cut the false-positive noise that plagues traditional scanners.

How much does DryRun Security cost?

DryRun Security uses a paid pricing model with plans starting at 30-day free trial (no credit card); per-developer pricing by quote, reported around $19/user/month.

What are the main advantages of DryRun Security?

The key advantages of DryRun Security include: Contextual Security Analysis reasons about exploitability rather than matching patterns; Dramatically lower false-positive rate than traditional SAST tools; Installs as a GitHub App in minutes with no pipeline changes; Reviews every pull request inline where developers already work; Catches business-logic and authorization flaws that rule-based scanners miss.

What are the drawbacks of DryRun Security?

Some limitations to consider: GitHub-centric with weaker support for GitLab Bitbucket and other forges; No public self-serve pricing so evaluation requires a sales conversation; LLM-based analysis means results can vary between runs on the same code; Smaller vendor than Snyk or Checkmarx which matters for enterprise procurement.

What category does DryRun Security belong to?

DryRun Security is a Security tool developed by DryRun Security.

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