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Guardrails For
AI-generated Code

Define security rules in plain English. Enforce your paved roads right in the IDE. Catch logic flaws scanners miss.

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Your Teams’ Security Standards. Automatically Enforced

Define your Teams’ Security Requirements in plain English, and catch security issues instantly.

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Paved Roads

Define your Teams’ Security Requirements in plain English, and catch security issues instantly.

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Logic Guardrails

Catch dangerous logic flaws that legacy code security scanners miss.

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IDE Native

Fix violations inside your IDE before the code is pushed.

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Silence the Noise

Eliminate false positives, with actionable security alerts you can trust.

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"You're bringing application security to the masses... This enables people who can’t get headcount to start thinking about AppSec.."

Ben Gittins
Product Security Lead, Zepto

Application Security Wasn't Built for the AI Era

Legacy scanners drown your teams in noise, waste precious engineering velocity and miss dangerous logic flaws AI agents introduce. It’s time to stop using human-speed tools to secure AI-speed development.

the scaling gap

AI Agents Are Going Off Road

With a 100:1 developer-to-appsec ratio, security teams can’t possibly scale to review the explosion of AI-generated code. Traditional security standards live in documents that are forgotten the moment development starts.

This leaves your engineering standards behind as AI pushes code to production without any guardrails.

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the competence gap

AI Code Works, But Is It Safe?

AI writes code that looks like a Principal Engineer wrote it, so you naturally lower your guard.

But that perfect syntax hides dangerous logic flaws like broken auth that legacy code security scanners completely miss.

VELOCITY MISMATCH

Vulnerabilities don't belong in a backlog

Most tools wait for CI/CD to catch issues, creating a "scan and scold" loop that forces developers to context-switch days after writing the code.

This friction slows development and turns security tools into a blocker and a chore rather than an enabler.

Dam Secure works right in your IDE.

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NOISE OVER SIGNAL

False Positives Broke All Trust

Legacy scanners flood developers with a 50% false positive rate. Engineers stopped paying attention. Real vulnerabilities got buried in the noise, and security tools have become compliance-ware.

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Experience The New Code Scanning Standard?

We're already working with fast-moving teams who care about security and velocity.

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This Is Not Our First Time.

We’ve spent the last decade in developer tooling, AppSec, and platform engineering.

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Patrick Collins

Co-Founder

 Over 10 years leading engineering and security at tech companies where compliance was constant, and dev friction was real. Dam Secure is built from that frustration, and from what he wished existed.

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Simon Harloff

Co-Founder

Simon has spent the last decade building platform infrastructure and developer tooling. He knows how to build products devs trust, and how to avoid the ones they quietly route around.

industry trusted
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Get Early Access Before We Go Public

Dam Secure is already privately testing with a handful of teams. We’re letting in a few more.

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