DryRun Security

DryRun Security provides AI-native application-security review that analyzes code changes and repository context to identify exploitable risks, explain attack paths, and support developer remediation inside delivery workflows. Teams should connect only approved repositories, protect secrets, tune policies, validate findings and dismissals, measure false positives, test CI enforcement, document exceptions, and retain qualified security review.

Begin with authorized, minimal, non-sensitive inputs. Configure privacy, retention, permissions, quality, disclosure, export, moderation, security, and spending controls; compare outputs with authoritative sources and real requirements; correct errors; test integrations and automations in a limited environment; and retain accountable human approval before sending, publishing, buying, deploying, or making consequential changes.

DryRun Security uses sales-led custom pricing. Repositories, contributors, pull requests, scans, integrations, deployment, support, onboarding, security requirements, and contract terms determine the quote.

AI output can be inaccurate, generic, biased, incomplete, stale, unsafe, insecure, or misleading. Review privacy, training, retention, copyright, consent, commercial rights, renewals, refunds, integrations, and professional limits. Security, health, education, surveillance, sales, and other high-impact work requires qualified human review.