DryRun's Custom Policy Agent Advantage

This feature is DryRun's clearest path from scanner to control layer. Most AppSec tools can find known bug patterns, but the hard part for security teams is turning internal rules into checks that actually run in every pull request. DryRun lets a platform or security team write that rule in plain English, then applies it across repos, languages, and frameworks, which shifts the product from finding issues to encoding company specific engineering guardrails.

• The practical difference versus Semgrep is workflow. Semgrep gives teams strong custom controls, but they still manage rules through the Semgrep Editor and policy modes. DryRun is selling the idea that the security team can describe the rule directly, without learning a rule syntax or maintaining pattern logic over time.
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• This matters most for logic heavy checks that are awkward in traditional SAST, like whether a new endpoint added an auth check, whether an AI feature can be driven into prompt injection, or whether a dependency violates an internal license policy. Those are closer to company operating rules than universal vulnerability signatures.
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• It also gives DryRun a wedge against bundled platforms like GitHub Advanced Security and AI native rivals like Endor Labs. GitHub owns the repo workflow and CodeQL alerts, and Endor adds AI review in pull requests, but DryRun's strongest pitch is that each company can turn its own review standards into automated PR gates instead of relying only on vendor supplied checks.
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The next step is for policy authoring to become the buying center, not just PR scanning. If DryRun keeps turning security team judgment into reusable controls, it can expand from a developer tool into the place where engineering policy is defined, enforced, and audited across human written and AI generated code.