Dam Secure raises $4M seed to secure AI‑generated code

Dam Secure’s seed round is a small number next to the billion‑dollar frontier lab raises, but it speaks directly to a growing pain point in the race toward more capable models: securing AI‑generated code. As enterprises normalize using copilots and agents throughout their development stacks, the volume of machine‑written code is exploding faster than traditional AppSec workflows can handle. A platform that lets security teams express policies in natural language and automatically enforce them across large codebases is a pragmatic response to that shift, and the kind of tooling large organizations increasingly need just to keep adopting AI safely.

Strategically, this is part of a broader “AI safety infrastructure” layer emerging beneath the headline models. Investors like Paladin, who specialize in cyber and dual‑use tech, are effectively betting that AI coding tools are here to stay and that the security externalities will spawn new category‑defining companies. That matters for AGI not because Dam Secure itself pushes model capability, but because the existence of mature guardrail tooling makes regulators, CISOs, and boards more comfortable green‑lighting aggressive AI rollouts. Anything that reduces the friction of deploying powerful models into production subtly accelerates the ecosystem’s ability to absorb the next generation of frontier systems.