
IDE-native guardrails to enforce security rules on AI-generated code.
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Dam Secure is an early-stage application security company focused on securing AI-generated code through IDE-native guardrails. The company offers a code security platform that allows development and security teams to define security rules in plain English and enforce them directly within the developer's integrated development environment (IDE) before code is pushed to repositories. The platform addresses three core problems in modern software development: - The scaling gap: With AI agents generating code at high velocity and developer-to-appsec ratios reaching 100:1, security teams cannot keep pace with reviewing AI-generated code. - The competence gap: AI-generated code can contain dangerous logic flaws (such as broken authentication) that traditional static analysis scanners miss, despite appearing syntactically correct. - Velocity mismatch and noise: Legacy scanners trigger high false positive rates (~50%) and operate at the CI/CD stage, creating delayed feedback loops that disrupt developer workflows. Dam Secure's approach centers on "Paved Roads" — team-defined security standards written in plain English — and "Logic Guardrails" that catch semantic and logic-level vulnerabilities missed by pattern-based scanners. Violations are surfaced and fixable directly inside the IDE, reducing context-switching and false positive fatigue. The company raised a $4M USD seed round led by Paladin Capital Group and is currently in early access. It was co-founded by Patrick Collins and Simon Harloff, who have backgrounds in engineering, application security, and developer platform tooling.