DryRun Security
AI-native SAST platform providing contextual code security intelligence for 350K+ monthly code reviews.
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What is DryRun Security?
DryRun Security is an AI-native application security platform that performs Contextual Security Analysis (CSA) on every pull request and repository scan to identify real vulnerabilities in real time. Unlike traditional SAST tools that rely on pattern-matching and regex, DryRun learns how your application works by mapping architecture, code relationships, Git behavior, frameworks, routes, authentication, and data flow to build a living knowledge graph of your codebase.
Key features include the DeepScan Agent for full-repo security reviews that turn multi-week assessments into on-demand expert reports in hours, the Code Review Agent that runs Core Code Policies on every PR with real-time contextual feedback, and the Custom Policy Agent that enforces Natural Language Code Policies alongside standard contextual SAST checks. The platform also offers Code Insights for org-wide trend tracking, MCP integration for AI coding tools to query findings programmatically, and AI Assistant chat on the Insights page for generating security reports and risk assessments.
DryRun Security catches injection bugs, authentication flaws, IDOR, logic bugs, authorization gaps, secrets exposure, LLM/OWASP LLM app risks, Infrastructure-as-Code issues, and more while reducing false positives by 90%. It integrates directly into GitHub Enterprise Cloud and GitLab SaaS pull requests with feedback in seconds, and also supports Slack notifications. The tool is built for AppSec teams, Product Security Engineers, Application Security Architects, CTOs, and developers who want security at the speed of development without slowing down their workflow.
The platform is optimized for multiple languages and frameworks with quick support for new tech stacks. It uses specialized agents that trace how input, logic, permissions, and data move across applications, validates exploitability with confidence scores, and provides agent-native remediation guidance that directs developers to proper fixes rather than creating more backlog.
DryRun Security pricing
Pricing model: Free
Free plan available on GitHub Marketplace at $0. DryRun Security is provided by a third-party with separate terms of service. The website does not display specific paid plan pricing or tiers publicly - users must book a demo with an AppSec expert to discuss pricing. A free trial is available. For accurate and current pricing details, contact the company directly at [email protected].
DryRun Security pros
- AI-native SAST that understands code intent rather than pattern-matching
- Catches logic flaws and broken auth that traditional scanners miss
- 90% lower noise compared to legacy SAST tools
- Most accurate SAST available for PR or repository reviews
- Data flow inspection across files and services, not just regex
- No rules or regex to maintain manually
- AI-driven custom policy checks in every pull request
- Real-time feedback in seconds within pull requests
- DeepScan Agent delivers full-repo reviews in hours instead of weeks
- Code Insights tracks org-wide trends and risks across repositories
- MCP integration enables AI coding tools to query findings programmatically
- Natural Language Code Policies eliminate complex framework setup
- Slack, GitHub, and GitLab notifications for team collaboration
- Agent-native remediation guides proper fixes instead of creating backlog
- Supports GitHub Enterprise Cloud and GitLab SaaS natively
- Validates exploitability with confidence scores before raising alarms
- Maps architecture and code relationships into continuously updated knowledge graph
- Catches OWASP Top 10, IDOR, auth issues, secrets, and IaC problems
- Works as force multiplier for AppSec teams without adding headcount
- Developers get instant actionable guidance like having a security coach
DryRun Security cons
- Only supports GitHub Enterprise Cloud and GitLab SaaS, no other SCM yet
- GitLab support limited to gitlab.com SaaS, not GitLab Enterprise
- New repository installations may pause up to 2 business days for activation
- Requires GitHub or GitLab token authorization with maintainer role
- No pricing transparency on website, must book demo for costs
- Language/framework optimization list exists but specific languages not fully detailed publicly
- Some integrations still coming soon, not all available yet
- LLM risk detection requires understanding of AI-generated code patterns
- Api scope token required for GitLab installation which has broader access
- May require AppSec team training to fully leverage intelligence workflows
Frequently asked questions about DryRun Security
What SCM platforms does DryRun Security support?
DryRun Security currently supports code repositories on GitHub Enterprise Cloud (github.com) and GitLab SaaS (gitlab.com). If you're interested in using a different Source Code Management platform, please contact the company and they'll be happy to explore additional support options.
How does Contextual Security Analysis work?
Contextual Security Analysis uses real code context like data flow, architecture, and change history to reason about risk in real time. DryRun gathers security context on every code change and evaluates it across the SLIDE model (Surface, Language, Intent, Detections, and Environment), providing a comprehensive view instead of a single datapoint. This engine catches logic flaws and broken auth that pattern-matching scanners miss.
Is my code data safe with DryRun Security?
Yes. DryRun uses a private LLM so your data is never fed through a public AI system. They use ephemeral microservices that guarantee your code vanishes from their analysis engine once a task is completed. Instead of retaining data from repos, they analyze and store only key data points. Their infrastructure undergoes quarterly audits and assessments by third-party security auditors.
What vulnerabilities does DryRun Security catch?
DryRun catches injection bugs, authentication flaws, IDOR, logic bugs, authorization gaps, secrets exposure, LLM/OWASP LLM app risks, Infrastructure-as-Code issues, SQLi, XSS, SSRF, and more. It covers OWASP Top 10, classic vulnerabilities, and emerging vuln research, surfacing them with clear code-aware explanations.
How fast is DryRun Security's feedback?
DryRun Security provides advanced static analysis feedback in seconds. The platform runs as code is pushed for review in your pipeline, with PR comments and checks appearing in moments for PR reviews. Full Repository DeepScan analysis and deep reports complete in a few hours.
What agents power DryRun Security?
DryRun Security is fueled by four specialized agents: the DeepScan Agent for full-repo security reviews, the Code Review Agent that runs Core Code Policies on every PR, the Custom Policy Agent that enforces Natural Language Code Policies, and the Codebase Insight Agent that answers real questions in natural language about risk, trends, and exposure across repositories.
How does DryRun Security compare to legacy SAST tools?
Legacy SAST uses pattern-matching and regex that generate high noise. DryRun Security's Contextual Security Analysis engine reasons about exploitability and impact, not just pattern presence, cutting noise by 90%. It inspects data flow across files and services, maps architecture and code relationships, and has no rules to maintain. DryRun is the most accurate SAST for PR or repository reviews.
What is the Code Insights feature?
Code Insights provides org-wide code insights that track trends and risk across your codebase and pull requests. It's powered by Contextual Security Analysis and is actionable via MCP-enabled automation. The Insights page in the DryRun Security dashboard includes an AI Assistant chat interface for generating security reports, feature ship summaries, and risk assessments grounded in real findings data.
Can I set custom security policies in DryRun Security?
Yes. The Custom Policy Agent enforces your custom Natural Language Code Policies alongside standard and advanced contextual SAST checks. You can set security guidelines in plain language without needing complex frameworks, and get AI-driven custom policy checks in every pull request.
How do I install DryRun Security on GitHub?
Navigate to app.dryrun.security and click Log in with GitHub. Log in to your GitHub account, authorize the DryRun Security GitHub Application by clicking Authorize DryRunSecurity, then click Install. On the GitHub Application page, click Install again and choose whether to run on All Repositories or Only selected repositories. After installation, your account may pause up to 2 business days for activation, then you'll see Installation Complete when visiting app.dryrun.security.