Define how software is built securely in the age of AI

Build secure, resilient AI-driven software. Secure Code Warrior makes it possible at every commit.

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From the #1 secure coding training company
Our vision

Setting the direction for secure software in an AI-driven world

Software development has changed. Code is no longer written only by developers — it’s generated, suggested, and accelerated by AI tools and agents as part of a new, powerful and too often hidden tech stack. This shift increases speed, but also introduces unacceptable new risks that traditional approaches weren’t built to handle. Secure Code Warrior works with enterprises globally to ensure software remains secure and aligned to organizational standards, no matter how it is created.

2015
Why now

Software development has been transformed by AI. Security must evolve with it.

AI-assisted development increases speed, scale, and complexity. Traditional security programs can’t keep up. A new approach is required. Security leaders must act now to bring AI visibility, accountability, and developer capability into how software is built.

Organizations now face:
Limited visibility into how code is created
Increased volume of changes entering production
Inconsistent secure coding practices
A widening gap between development speed and security
What we do

Secure, high-quality code — every time, no matter the source

Secure Code Warrior reduces risk where it matters most: at the point of code creation. Security becomes part of how software is built, rather than an expensive, time-consuming afterthought.

We do this by:
AI Governance
Strengthening secure coding capability across teams
Enabling developers to work safely with AI-assisted tools
Providing visibility into how code is created and reviewed
Helping organizations measure and improve outcomes over time
Proven at enterprise scale

Secure Code Warrior is trusted by global organizations to improve software security outcomes

*곧 출시 예정
reduction in introduced vulnerabilities
53%+
reduction in MTTR
82%+
cost savings
6-figure+

최신 콘텐츠

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October 14, 2021
워리어 인사이더: Nelnet - 보안 전문가를 양성하고 내부로부터 안전한 개발 문화를 조성하세요

미샤 마르티네즈는 넬넷의 사이버 보안 분석가이자 촬영 감독입니다.개발자를 위한 보안 코딩 관련 교육 프로그램을 만드는 임무를 맡았을 때 그는 창의적인 방법으로 팀을 참여시켰습니다.우리는 그가 보안 코드 교육 프로그램을 운영하는 방식에 깊은 인상을 받았고, 그에 대해 자세히 알아보기 위해 함께 이야기를 나눴습니다.

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October 5, 2021
OWASP의 2021 리스트 셔플: 새로운 전투 계획이자 주요 적

취약점의 왕으로 악명 높은 인젝션 공격 (범주별) 은 액세스 제어 실패로 최악 중 최악으로 1위 자리를 잃었기 때문에 개발자들은 주의를 기울여야 합니다.

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September 23, 2021
고급 보안 인텔리전스: 개발자가 NIST를 준비하도록 돕는 가이드 과정

개발자는 보안 구성 및 액세스 제어 외에도 코드를 가장 가까이서 개인적으로 다루는 사람들입니다.개발자의 보안 기술을 길러야 합니다. 특히 대규모 개발 집단의 경우 NIST에서 제시한 높은 표준을 달성하려면 실습 과정 구조가 이를 해결하는 효율적인 방법일 수 있습니다.

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August 30, 2021
좋은 마이크로웨이브가 나빠질 때: 임베디드 시스템 보안이 개발자들의 다음 보스전이 되는 이유

웹 기반 소프트웨어, API 및 모바일 장치와 마찬가지로 임베디드 시스템의 취약한 코드는 공격자가 도중에 발견할 경우 악용될 수 있습니다.

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August 24, 2021
안전한 개발은 AppSec의 면역 체계가 되어야 합니다

애플리케이션 보안 전문가의 역할은 조직 애플리케이션의 사이버 안전을 보장하는 것입니다.하지만 애플리케이션이 실행되는 코드를 작성할 책임은 없습니다.개발팀 내 엔지니어가 담당합니다.그렇다면 이들이 보안을 염두에 두고 이러한 시스템을 개발하고 있는지 어떻게 확인할 수 있을까요?

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August 19, 2021
임베디드 시스템에서 엔드-투-엔드 보안이 중요한 이유

이 문서에서는 임베디드 시스템 보안에 대한 개요를 다룹니다.기본 정의부터 시작하여 임베디드 보안의 문제점, 몇 가지 일반적인 솔루션, 누락된 퍼즐에 대해 알아보겠습니다.

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August 17, 2021
미스라 C 2012 vs 미스라 C2 - 스위치 만드는 법

이 게시물에서는 MISRA C 2012 표준을 C2와 비교하고 새 표준으로 전환하는 과정을 안내해 드리겠습니다.안전한 임베디드 시스템을 구축하기 위해 MISRA의 규정 준수가 필요한 이유를 설명하겠습니다.

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August 11, 2021
임베디드 장치 및 임베디드 시스템 개발 - 개요

이 게시물에서는 임베디드 장치 및 임베디드 시스템 개발에 대한 개요를 제공합니다.

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July 26, 2021
워리어 인사이더: 콘트라스트 시큐리티 - 개발자에게 상황별 환경을 통한 영향력 있는 사이버 보안 서비스를 제공합니다.

콘트라스트 시큐리티 (콘트라스트 시큐리티) 에서 래리 맥케론 (래리 맥케론) 과 함께 ##도덕 #0 #러닝이 어떻게 개발자들에게 보안 교육을 받을 수 있는지 논의했습니다.조직에서 일상적인 업무와 배려를 할 수 있게 도와주세요.

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July 22, 2021
사이버 보안의 인적 요소를 절대 간과해서는 안 되는 이유

최근 포브스 테크놀로지 위원회 회장 겸 CEO인 피터 다니유 (Pieter Danhieux) 의 첫 번째 포브스 테크놀로지 위원회 게시물이 공개되어 매우 기뻤습니다.이 게시물에서는 개발자의 기술을 향상시켜 보다 안전한 코드를 만드는 것이 사이버 공격과 데이터 침해를 방지하는 데 얼마나 중요한지 자세히 설명했습니다.

Our evolution

From secure coding to governing AI-driven software

The key moments across product, growth, and market shifts that shaped how modern software is secured.

2015
2017
2018–2019
2020–2022
2023–2024
2025
2026
2015
Founding

Rethinking software security at the source

Secure Code Warrior is founded in Australia by Pieter Danhieux, Fatemah Beydoun, Colin Wong, and Jaap Karan Singh on a simple belief:

  • Fixing vulnerabilities after code is written doesn’t scale.

From day one, the focus was clear: Improve how developers write code to reduce risk at the source.

2017
Sensei Aquisition

Embedding security into developer workflows

After securing four major Australian banks, Secure Code Warrior expands into the US and Europe. The acquisition of Sensei Security, and the addition of founders Matias Madou and Nathan Desmet, mark a turning point. Security moves beyond training into hands-on, in-workflow learning embedded directly in how code is written.

2018–2019
Series A & B + Tier 1 customers

Enterprise adoption validates the model

With Series A and B funding, Secure Code Warrior scales globally across industries.

  • Developer-driven security can scale, delivering measurable impact.
2020–2022
Series C + acquisition + ecosystem expansion

From training to Benchmark your security program

Secure Code Warrior raises Series C, acquires Adversary, and grows to 450+ global customers.Partnerships with GitHub, GitLab, Contrast Security, and Synopsys embed the platform across the development ecosystem. Customers achieve consistent reductions in vulnerabilities introduced during development — shifting security from detection to prevention.

2023–2024
Market shift + platform evolution

AI reshapes software development

The rise of ChatGPT and GitHub Copilot transforms how code is created.Software is no longer written solely by developers, it’s generated, assisted, and accelerated by AI. As adoption grows, organizations face reduced visibility, increased velocity, and new classes of risk, driving the need for greater insight into how code is created.

2025
Category shift

The governance gap becomes unavoidable

At scale, organizations can no longer answer critical questions:

  • Who - or what - is writing code?
  • Does it meet security standards?
  • Are developers equipped to evaluate it?

Traditional approaches can’t keep up. A new challenge emerges: governing software development in an AI-driven world.

2026
Product innovation — Trust Agent:AI

Defining the next standard for secure software

Secure Code Warrior introduces Trust Agent:AI, extending the platform to bring visibility and accountability into AI-driven development. Organizations can now understand how code is created, align development to risk thresholds, and strengthen developer capability in real time.

Our team

Our leadership team brings deep experience across software development, cybersecurity, and enterprise technology

We believe the future of software security depends on empowering developers — not slowing them down.


Leadership

Pieter Danhieux
Chief Executive Officer, Chairman, and Co-Founder
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Matias Madou, Ph.D.
Chief Technology Officer, Director, and Co-Founder
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Fatemah Beydoun
Chief Customer Officer, and Co-Founder
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Steven Hollins
President
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Jim Stuebner
Chief Financial Officer
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Deborah McGinn
Chief Marketing Officer
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Alex Bullen
Chief Product and Technology Officer
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Board of Directors

Pieter Danhieux
Chief Executive Officer, Chairman, and Co-Founder
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Matias Madou, Ph.D.
Chief Technology Officer, Director, and Co-Founder
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Jim Pflaging
Non-Executive Director
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David Campbell
Investment Director
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Mourad Yesayan
Investment Director
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James Cameron
Board Observer
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Tom Clute
Board Observer
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Leo Casusol
Board Observer
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Nanhi Singh
Board Observer
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AI didn’t just accelerate software development — it changed how it must be secured.

Careers

Do the best work of your career

We're at one of the most important intersections in tech right now — where AI, software development, and security collide. The problems are real. The impact is measurable. And the team is one you'll actually want to work with.

Join team awesome
The Secure Code Warrior team in a large hall cheering with their hands in the air

Govern AI-driven development
before it ships

See where AI tools generate code, correlate commits with risk signals, and maintain visibility across your AI software supply chain.

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