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DryRun Security

AI-native SAST with contextual security analysis

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DryRun Security is an AI-native SAST platform using Contextual Security Analysis to reason about code behavior, data flow, and exploitability instead of regex pattern matching. It provides PR-native security reviews on GitHub and GitLab, catching logic flaws, broken auth, IDOR, and injection bugs that legacy scanners miss while cutting 90% of noise. Features Natural Language Code Policies, DeepScan for full-repo audits, and a Risk Register for org-wide visibility. Supports 14+ languages.

DryRun Security is the industry's first AI-native, agentic code security intelligence solution. Powered by its proprietary Contextual Security Analysis (CSA) engine, it goes beyond traditional pattern-matching SAST tools to reason about how code actually behaves, catching logic flaws, authorization gaps, IDOR, and other high-impact risks that last-generation scanners consistently miss.

The CSA engine inspects data flow across files and services, analyzing authentication, authorization, sensitive codepaths, developer intent, and code brittleness. Instead of flagging every suspicious pattern, it reasons about exploitability and impact in context, which dramatically reduces false positives. Each dismissal is logged and fed back so scans get progressively calibrated to your codebase over time.

PR Code Reviews provide real-time security feedback directly in GitHub and GitLab pull requests before code merges. The platform covers OWASP Top 10, classic vulnerabilities, emerging research, IDOR, auth issues, and logic flaws with clear code-aware explanations. Natural Language Code Policies let AppSec teams define custom security requirements in plain English, enforced automatically on every PR.

The DeepScan Agent turns full-repository security reviews from a multi-week process into an on-demand assessment in about an hour, delivering a prioritized high-signal report. Teams typically run DeepScans per production repo on a monthly or quarterly cadence, at key release checkpoints, or after major architectural changes.

Risk Register brings PR scans and DeepScans together into one place to track, understand, and prioritize risk across the entire organization. Security teams can ask natural-language questions and get contextual answers about risk, trends, and exposure across repositories.

The platform supports Python, Java, JavaScript, TypeScript, C++, C#, Go, Rust, Swift, PHP, Ruby, Kotlin, Scala, and COBOL. It integrates with AI coding tools like Claude Code, Cursor, and Codex, as well as GitHub, GitLab, and team communication platforms. Trusted with over 250,000 code reviews monthly.

Pricing

Custom pricing / Free DeepScan trial

Platforms

GitHub, GitLab, Claude Code, Cursor

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