Dryrun Security

DryRun Security is an AI native code security platform that reviews pull requests and repositories for exploitable risk. Rather than matching code against regex rules, its Contextual Security Analysis engine builds a continuously updated knowledge graph of the application, covering architecture, code relationships, Git behavior, frameworks, routes, authorization and data flow, and then uses specialized agents to trace how input, logic, permissions and data move through it. It is aimed at application security teams and engineering organizations shipping both human written and AI generated code. The platform identifies hotspots such as APIs, services and authorization boundaries, applies confidence scores to findings based on impact, and guides developers and their coding agents toward the correct fix. Its AI native SAST targets injection, authentication, insecure direct object reference and logic flaws, and custom policy checks are written in natural language instead of maintained rule sets. Other components include PR code review with change summaries, developer activity insights that map recurring risks to the engineers introducing them, and access through MCP, an API and source control integrations. It connects to GitHub, GitLab, Slack, Claude Code, Claude Desktop, Codex and Cursor, and reads Python, JavaScript, TypeScript, Java, C#, Ruby and Go. Pricing is not published. The pricing address returns the home page, and the site directs buyers to request a demo or a free security assessment, so plans are quote based. The vendor states that it holds three patents covering its hotspot identification approach.