Dawnguard
by Dawnguard
AI-native security architecture automation that builds secure cloud systems from day zero
Dawnguard is an AI-native cybersecurity platform that lets engineering and security teams design, generate, and continuously validate secure cloud-native architectures before and after deployment. It is built for cloud architects, CISOs, and platform engineers who want to shift security 'left' into the design phase instead of patching after the fact.
Dawnguard is an AI-native security architecture automation platform, publicly launched on July 1, 2026, that helps organizations design, build, and operate secure cloud-native systems from day zero through production. Its workflow spans three stages: Design (generate cloud architectures in minutes on a collaborative canvas from text or image inputs), Discover (connect live cloud environments to visualize resources and relationships and surface AI-driven improvement opportunities), and Deploy (automatically generate production-ready Infrastructure as Code and continuously validate that deployed environments still match approved, compliant designs). By embedding security into the design phase and eliminating drift between architectural intent and operational reality, Dawnguard aims to move cybersecurity away from the endless detect-respond-patch cycle. Founded in 2025 by CEO Mahdi Abdulrazak and CTO Kim van Lavieren, the Amsterdam-based company has raised more than $6.3 million in total, including a $3.3 million (€2.8M) pre-seed extension announced alongside the launch and the opening of a New York office.
At a Glance
- Category
- Governance & Security
- Pricing
- Contact for pricing
- Target Market
- CISOs, CTOs, Cloud Architects, Platform Engineers
- Founded
- 2025
- Headquarters
- Amsterdam, Netherlands
Key Features
- ✓Architecture design canvas
Generate secure cloud architectures in minutes on a collaborative canvas from text or image-based inputs.
- ✓Cloud discovery & visualization
Connect live cloud environments to map resources and relationships and surface AI-driven improvement opportunities.
- ✓Infrastructure-as-Code generation
Automatically convert approved secure designs into production-ready Infrastructure as Code.
- ✓Continuous design validation
Continuously check that deployed environments still match approved designs to eliminate security drift.
- ✓Shared security workspace
Give engineering and security teams a single workspace to collaborate on architecture and compliance.
Capabilities
Use Cases
- •Secure-by-design cloud builds
Design compliant cloud-native systems with security embedded from day zero rather than patched later.
- •Automated compliance reviews
Streamline security reviews against standards like ISO 27001 and GDPR before infrastructure ships.
- •Drift detection
Continuously validate running environments against their approved architecture to catch configuration drift.
Ideal For
Best For
- ✓Designing secure, compliant cloud architectures before deployment
- ✓Generating production-ready Infrastructure as Code
- ✓Detecting and eliminating security drift between design and runtime
Market Analysis
Pros
- ✓Security-by-design approach reduces late-stage remediation
- ✓Automates IaC generation from vetted architectures
- ✓AI-driven visualization of existing cloud estates
Cons
- ✗Early-stage, pre-seed company with a new GA product
- ✗Public pricing and customer list not yet disclosed
Pricing
Enterprise
Contact for pricing
- ✓Architecture design
- ✓Cloud discovery
- ✓IaC generation
- ✓Continuous validation
Public pricing is not disclosed; Dawnguard moved from enterprise design partnerships to general availability at its July 2026 launch.
Sources
This page was written from 3 sources, 2 on domains other than dawnguard.ai.
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