DryRun Security
AI-native security reviews on every PR — contextual analysis that cuts SAST noise.
About
DryRun Security is an AI-native code security platform that acts as a "security buddy" on every pull request. Its Contextual Security Analysis evaluates each change with data flow, architecture, and history context to detect auth issues, IDOR, injections, logic bugs, and OWASP Top 10 problems — deliberately filtering out unreachable findings that make traditional SAST tools noisy. The 2026 DeepScan Agent extends this to full-repository reviews in hours, and a Custom Policy Agent enforces natural-language code policies.
The honest picture: coverage is strongest on GitHub and GitLab with mainstream stacks (Rails, Express, Go, Python, Node, Next.js) — Azure DevOps teams and exotic languages are underserved. The company publishes limited independent accuracy benchmarks, and deep customization beyond natural-language policies is thin. Enterprise pricing is sales-led, so cost transparency is poor. Still, teams drowning in SAST alerts rate the noise reduction highly.
What it can do
- Contextual Security Analysis on every PR
- OWASP Top 10, IDOR, auth, and logic issue detection
- DeepScan Agent for full-repo security reviews
- Custom Policy Agent with natural-language rules
- Slack notifications and CI/CD triggers
Setup
Install the DryRun Security GitHub App (or GitLab integration) on your repositories — scans run automatically on every PR in seconds.
Prerequisites
A GitHub or GitLab repository; CI/CD pipeline that runs on PR events.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 49; Trending score 70/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.