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DryRun Security

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About

DryRun Security is an application security solution designed for modern DevOps environments, addressing challenges like pattern matching limitations, code velocity outstripping security, and overwhelming issue backlogs. It provides contextual security analysis by factoring in codepaths, developer intent, and language-specific checks. The tool supports plain-language security policies and fosters collaboration between security and development teams with real-time feedback. It helps CISOs and Security Leaders scale their teams without adding headcount, streamline compliance, and increase developer engagement. For AppSec Engineers, it offers real-time visibility into code changes and customizable natural language policies. Developers receive immediate, clear feedback within PRs, reducing context switching. DryRun Security supports multiple languages including Python, Ruby, TypeScript, JavaScript, Java, Go, C#, PHP, HTML, Elixir, Kotlin, and Swift. It integrates with GitHub (GitLab coming soon) and Slack for notifications and reporting. It uses a private LLM for analysis, ensuring data privacy and ephemeral processing.

Platform
Web
Task
code securing

Features

contextual security analysis

natural language code policies

ephemeral microservices for data safety

proactive security

collaboration without friction

integration with github and slack

real-time code insights

automatic core security policies

FAQs

Do I have to use GitHub?

Yes, currently DryRun Security only works with code repositories on GitHub.

What is Contextual Security Analysis and how does it work?

It gathers security context on every code change, evaluating it across the SLIDE model (Surface, Language, Intent, Detections, & Environment) for a comprehensive view of risk.

How do you keep my code safe?

We use a private LLM; your data is never fed through public AI. Ephemeral microservices ensure code vanishes post-task, and we store only key data points, not repos. Quarterly audits are also performed.

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