DryRun Security is an AI-native application security testing platform that performs Contextual Security Analysis (CSA) for static code analysis on pull requests and full repositories. The system evaluates data flow, architecture, user interactions, and developer intent to identify vulnerabilities such as logic flaws, broken authentication, injection vulnerabilities, and exposed secrets without using traditional regex patterns. It also provides Infrastructure as Code (IaC) scanning for Terraform and Kubernetes to detect misconfigurations within the broader application context.
The platform integrates into CI/CD pipelines and developer workflows using specialized AI agents for real-time code reviews and comprehensive repository audits. It operates on a private large language model (LLM) with ephemeral microservices, which ensures source code is not retained or shared with public AI systems. DryRun Security allows for the enforcement of custom security policies and codebase querying via natural language, provides inline remediation guidance, and uses the SLIDE model for risk scoring and the COVER methodology for reviews.
