DryRun Security
AI-powered contextual security analysis for your codebase
What is DryRun Security? Complete Overview
DryRun Security is an AI-powered application security tool designed to detect and prevent logic flaws, authorization gaps, IDOR, and other code risks introduced by modern development practices. Unlike traditional pattern-matching tools, DryRun Security uses contextual analysis to understand codepaths, developer intent, and language-specific nuances, providing more accurate and actionable security insights. The tool is trusted by over 35,000 code reviews weekly, helping AppSec teams and developers collaborate effectively while maintaining high security standards. DryRun Security is optimized for multiple programming languages and integrates seamlessly with GitHub and GitLab, making it an essential tool for modern development teams.
DryRun Security Interface & Screenshots
DryRun Security Official screenshot of the tool interface
What Can DryRun Security Do? Key Features
Contextual Security Analysis
DryRun Security goes beyond surface-level analysis by evaluating code changes across the SLIDE model (Surface, Language, Intent, Detections, & Environment). This comprehensive approach ensures that security risks are identified in the context of how the code is actually used, reducing false positives and uncovering vulnerabilities that traditional tools miss.
Natural Language Code Policies
Define security policies in plain language without needing to write complex rules or learn a new DSL. DryRun Security translates these policies into actionable checks, making it easier for developers to understand and comply with security requirements.
Real-time Code Insights
Gain visibility into every code change across your organization, even at scale. DryRun Security identifies high-risk changes as they happen, allowing teams to address issues before they become vulnerabilities.
Automatic Code Policies
Out-of-the-box policies cover key vulnerability categories like SQLi, SSRF, Command Injection, Authn/Authz, IDOR, Secrets, and more. These policies require no configuration, enabling teams to get started quickly.
Developer-Friendly Feedback
DryRun Security provides clear, actionable feedback directly in pull requests, helping developers fix issues immediately without context switching. This reduces friction between security and development teams.
Best DryRun Security Use Cases & Applications
Preventing Authorization Gaps
A development team is working on a new feature that involves sensitive user data. DryRun Security identifies an authorization gap where the new code fails to properly check user permissions, preventing a potential data breach.
Catching Hardcoded Credentials
During a routine code review, DryRun Security flags a developer's accidental inclusion of hardcoded API keys in a configuration file, allowing the team to remove them before deployment.
Scaling Security for High-Velocity Teams
A fast-growing startup uses DryRun Security to maintain security standards across hundreds of weekly pull requests without adding headcount, ensuring compliance while keeping development velocity high.
How to Use DryRun Security: Step-by-Step Guide
Install the DryRun Security app on your GitHub or GitLab repository. The setup process takes just a few minutes and requires minimal configuration.
Define your security policies using natural language or leverage the built-in policies for common vulnerabilities. These policies will automatically apply to all future code changes.
As developers create pull requests, DryRun Security analyzes the changes in real-time using contextual security analysis, evaluating risks based on the SLIDE model.
Receive instant feedback in the pull request comments, highlighting any security issues with clear explanations and remediation guidance.
Developers can address the issues immediately, and security teams can monitor high-risk changes through the Code Insights dashboard.
DryRun Security Pros and Cons: Honest Review
Pros
Considerations
Is DryRun Security Worth It? FAQ & Reviews
DryRun Security currently supports GitHub Enterprise Cloud (github.com) and GitLab SaaS (gitlab.com). Support for additional SCMs may be available upon request.
DryRun Security uses a private LLM and ephemeral microservices to analyze your code. Your data is never fed through public AI systems, and code vanishes from the analysis engine after processing. The infrastructure undergoes regular third-party security audits.
DryRun Security supports Python, Ruby, TypeScript, JavaScript, Java, Golang, C#, C++, PHP, HTML, Elixir, Kotlin, Swift, and Scala. The team can quickly add support for new technologies upon request.
DryRun Security's contextual analysis approach significantly reduces false positives and identifies vulnerabilities that traditional pattern-matching SAST tools miss. The 2025 SAST Accuracy Report provides detailed comparisons.
Yes, DryRun Security helps enforce security policies that align with common compliance frameworks, reducing the manual effort required for compliance documentation and evidence collection.