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Code Security Intelligence
AI-native Software Era Brings New Challenges
This era marks a significant departure from classic security patterns, as the majority of risk now stems from contextual factors. These include complex authorization issues, subtle logic flaws in me, and enumeration vulnerabilities created by humans and AI alike. This isn't appsec like we've known before.

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Meet the DryRun Agents
Full-repo pen testing in minutes vs weeks
Out-of-the-box expert analysis on every PR
Prevent business logic flaws before merge
Discover org-wide code trends & risk
With DryRun Security, it feels like we’ve more than doubled our AppSec team.
—Sean Holcroft, Sr. AppSec Eng @ BrightHR

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DryRun Security Architecture
Dashboard &
MCP Server
Unified security visibility into your codebase across all agents, commits, and repos

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The Results Are In
In the evolving landscape of AI-native software, traditional Static Application Security Testing (SAST) tools often struggle with accurate vulnerability detection. This testing was conducted on 26 seeded vulnerabilities across four languages (Ruby, Python, C#, Java). All SAST tools were tested out-of-the-box with default configurations (yes, even DryRun) and code is all public.
88%
DryRun Security
23 out of 26 vulnerabilities detected
46%
Semgrep
12 out of 26 vulnerabilities detected
38%
Snyk Code
10 out of 26 vulnerabilities detected
30%
GitHub Advanced Security (CodeQL)
8 out of 26 vulnerabilities detected
8%
SonarQube
2 out of 26 vulnerabilities detected

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Commerce Replaced Snyk Code
Snyk Wasn't Future-ready
Building AI-driven shopping experiences with agentic checkouts that change everything. Snyk Code was not ready for the challenge.
Building Securely From the Start
Realized the OWASP Top Ten LLM risks were all about context which couldn't be found with traditional pattern matching
Head-to-Head Win
Pitted DryRun against Snyk, Semgrep, and Ghost and it was night and day difference.
DryRun outperformed every other tool we tested by far, and its contextual security analysis actually understands our code the way our engineers do.
—Adam Dyche, Manager, Application Security Engineering

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Flex Loves Our Custom Code Policies
Spread Too Thin
AppSec engineers were spread too thin in a high-velocity development environment—>
Hundreds of code changes a week
Failing to Find Logic Flaws
GitHub Advanced Security wasn’t finding half the things DryRun was and DryRun’s findings were more significant and accurate.
Full GHAS Replacement
The appsec team saw way fewer false positives and way better dev happiness, so when GitHub Advanced Security was up for renewal it was an easy choice!
NLCPs allow us to write ‘rules’ like we’re prompting AI. Takes no time and kills false positives. DryRun is unlike any SAST tool.
—Phil Beyer, Head of Security

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Tines Needed a Better SAST
Overstretched Team
Overstretched Security
Engineers. NLCPs helped Tines to find risks they knew their devs were commonly making but couldn’t pattern match
Current Security Tools Unreliable
Snyk was disliked by developers and missed things that DryRun was able to find (eg. IDOR, auth, enum, …)
Built Custom Threat Modeling Service
They use DryRun results to build on-the-fly threat models using Tines AI Workbench.
DryRun is just a better SAST tool. Finds more risk with fewer false positives. Developers prefer it. Security prefers it. It’s just better.
—Kyle Rippee, Product Security Engineer

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Awesome Customers of DryRun
It's hard to imagine writing code at startup speed without it.
\\ Jonathan Cran, AppSec Expert, Startup Founder, & DryRun Investor

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250,000 Code Reviews Every Month

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Teams now ship secure software at AI speed.

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Ready to build secure software, faster?
Our appsec experts are ready to get your trial started today. AI-native code security intelligence helps your teams detect vulnerabilities early, integrate security seamlessly into your CI/CD pipelines, and ship secure code with confidence.

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Be the first to know about critical code and architecture changes. DryRun Security helps you uncover the risks that pattern-matching SAST tools miss.

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Gusto's GraphQL Authorization Issues
Shifting Left When the Dev Team Ships Fast!
DevOps minded CISO shifting Gusto’s dev org left by integrating security into CI/CD in the face of thousands of code changes a week.
Missing Issues and Many False Positives
Pattern Matching tools like SonarQube and Semgrep constantly miss significant issues (eg. IDOR, auth, enum, …) and generate a lot of false positives, specifically with GraphQL.
Finding Relevant Issues with DryRun Security
Developers love the relevant, real-time feedback.
Code policies in place to find authz and other issues in GraphQL.
DryRun Security is finding risks that our team would struggle to find if they had the time—but they don’t even have the time.
—Justin Collins, CISO

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BrightHR's AppSec Transformation
High Velocity Development
AppSec was struggling to keep up with the high velocity development environment at BrightHR. 65 devs to one appsec engineer.
Devs Tired of Traditional Tooling
CodeQL (GHAS) slowed developers down and are only able to match known patterns, making life harder for Sean.
Devs Love DryRun Security
The With DryRun Security, the team "feels like we’ve cloned" our AppSec team. Now they see risk that matters.
With DryRun Security, it feels like we’ve more than doubled our AppSec team.
—Sean Holcroft, Application Security Architect

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