DryRun Security
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About
DryRun Security is an AI-powered application security tool that integrates with GitHub to provide contextual security analysis for every code change. It identifies vulnerabilities such as SSRF, XSS, command injection, and more, offering developers security context directly within pull requests. Built by developers with experience at GitHub and Signal Sciences, it aims to improve developer productivity by speeding up code reviews and reducing false positives. The tool supports numerous programming languages and frameworks and prioritizes code safety by using a private LLM and ephemeral microservices to protect user data.
Platform
Task
Features
• contextual security analysis
• github app integration
• cmd injection analyzer
• mass assignment analyzer
• code summary analyzer
• code behavior analyzer
• xss analyzer
• ssrf analyzer
FAQs
Do I have to use GitHub?
Yes, you do. Currently, DryRun Security only works with code repositories on GitHub.
What is Contextual Security Analysis and how does it work?
DryRun Security gathers security context on every code change and evaluates it across the SLIDE model (Surface, Language, Intent, Detections, & Environment). Instead of getting a single datapoint to represent the riskiness of the change, you're getting a more comprehensive view. Want to learn more? We [have a guide that explains it in depth](https://dryrun.security/csa)
How do you keep my code safe?
a. We use a private LLM and your data is never fed through a public AI system. b. Our usage of ephemeral micro services guarantees that once a task is is completed, your code vanishes from our analysis engine c. Instead of retaining data from your repos, we analyze and store key data points. d. We also subject our infrastructure to quarterly audits and assessments by a third-party security auditor. For more details on how we keep your data safe [visit here](https://dryRun.security/blog/how-we-keep-your-code-safe-at-dryrun-security)
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