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. Review collected by and hosted on G2.com.
The main thing I would like to see improved is broader integration with external workflow and ticket management platforms, especially Jira. While DryRun Security provides useful findings and guidance in the developer workflow, having a more seamless way to create, track, and manage security tickets in Jira would make it easier for teams that rely heavily on Jira for vulnerability management, sprint planning, and remediation tracking. Stronger integrations with external platforms would help security and engineering teams operationalize findings more effectively across their existing processes. Review collected by and hosted on G2.com.