DryRun Security helps solve the problem of noisy and time-consuming security reviews by providing contextual, high-signal findings directly in the developer workflow. Instead of spending unnecessary time sorting through false positives or trying to determine which issues are actually exploitable, the platform uses AI-driven analysis to help identify the risks that actually matter and explain them in a way developers can act on. Its performance has also been a benefit, as it fits well into the pull request process without creating unnecessary friction or slowing down development. It also helps bridge the gap between security and development teams. By providing AI-powered remediation guidance, pull request context, and policy-based guardrails, DryRun Security makes it easier to maintain security standards while still allowing teams to move quickly. The support experience has been another positive, with helpful guidance when questions come up or when we need assistance getting more value from the platform. Overall, DryRun Security supports faster, more confident development while giving security teams better visibility into code risk across repositories.

Since its agentic and doesn't depend on rules, theres good coverage across any language, framework, or tool out of the box. It's been particularly helpful providing feedback to engineers on changes to infra level concerns like terraform or helm.

DryRun is better than any static code analyzer we’ve used. It consistently surfaces real security concerns in PRs, provides helpful context, and makes the findings actionable.