Dawnguard Raises $3.3M for AI-Native Security Architecture

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Amsterdam-based Dawnguard raises $3.3M for its AI-native security architecture automation platform, aiming to embed security into systems from the start rather than reacting later.

Amsterdam-based cybersecurity startup Dawnguard has launched its security architecture automation platform to the public, alongside an additional $3.3 million in pre-Seed funding. The round came from existing investor BNVT Capital in the UK, with new participation from Curiosity VC in the Netherlands and eCAPITAL in Germany. According to the company, the fresh capital brings Dawnguard’s total funding to more than $6.3 million. This comes one year after they emerged from stealth with $3 million in pre-Seed funding. ### The Problem with Reactive Security “Cybersecurity has become trapped in an endless cycle of detection, response, and patching,” says Mahdi Abdulrazak, CEO and co-founder of Dawnguard. “For twenty years, security was something you added later. That model was already fragile. Today, against an attacker running at machine speed, it becomes increasingly indefensible. When probing is continuous and cheap, the only thing that holds is what was designed correctly from the start.” Dawnguard’s additional pre-Seed round comes amid continued activity in 2026 by European companies working on cybersecurity automation, AI-agent security, cloud infrastructure security, software supply-chain protection, and adjacent digital identity infrastructure. ### A Wave of Security Investments Relevant rounds reported this year include: - Cloudsmith’s $71.5 million Series C for AI-driven software supply-chain security - Geordie AI’s $29 million Series A for AI-agent governance - NeuralTrust’s $20 million Seed round for enterprise AI-agent security - Escape’s $17.9 million Series A for offensive security engineering - Cloudgeni’s $1 million raise for secure cloud infrastructure automation In the Netherlands, Amsterdam-based Duna raised $34.9 million for AI-native business identity and onboarding, an adjacent trust-infrastructure segment. Taken together, adjacent 2026 rounds represent approximately $260 million in funding. That signals active investor interest in security tooling that moves beyond reactive monitoring toward earlier-stage design, governance, identity, and infrastructure controls. ### Closing the Gap Between Design and Reality “Every engineering team understands the gap between what was designed and what ultimately gets deployed,” adds Kim van Lavieren, CTO and co-founder of Dawnguard. “That gap is where risk lives. Dawnguard closes the distance between intent and reality by turning architecture into enforceable code, continuously validating that systems remain aligned with their original security design. Security should not exist in documents, spreadsheets, or diagrams. It should exist in the systems themselves.” Founded in 2025 by CEO Mahdi Abdulrazak and CTO Kim van Lavieren, Dawnguard is building an AI-native cybersecurity platform designed to help organizations design, build, and operate secure cloud-native systems from the very beginning. The founders have experience across IBM, Microsoft, Amazon, and military cyber operations. That positions the company around a shift away from reactive cybersecurity and compliance box-ticking, toward a model where resilience is built into systems before they reach production. ### What Dawnguard Actually Does The company’s focus is security architecture automation. That means turning secure architecture into deployable infrastructure, validating designs before deployment, generating production-ready Infrastructure as Code, and continuously checking that cloud environments remain aligned with approved security designs. The launch marks Dawnguard’s move from enterprise design partnerships into general availability, following a year of platform development and customer validation. The startup also announced the opening of its New York City office as part of its broader international expansion plans. The problem Dawnguard is addressing is increasingly visible across modern software teams. As AI-assisted engineering accelerates how quickly software is designed, written, and shipped, security teams are being asked to protect systems that are evolving faster than ever before.