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.
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.
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.
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.
Secure Code Warrior is trusted by global organizations to improve software security outcomes
Nuestro contenido más reciente
El costo de abordar las vulnerabilidades del código y la deuda técnica es alto y continúa reduciendo la productividad de los equipos de desarrollo de software. Descubra cómo la implementación de una plataforma de aprendizaje ágil para el código seguro puede capacitar de manera más eficaz a los desarrolladores en técnicas de codificación segura para corregir las vulnerabilidades de forma más rápida y temprana en el SDLC y, en primer lugar, evitarlas, lo que supone una importante reducción de costes. En este blog se describe cómo pensar en el impacto financiero y el ROI de una plataforma de aprendizaje ágil.
Anunciamos el cierre de nuestra ronda de financiación de la Serie C, tras haber recaudado 50 millones de dólares para la siguiente fase de nuestra misión: ayudar a más organizaciones pioneras a aprovechar el poder de su grupo de desarrollo para frustrar las vulnerabilidades comunes.
The recently released National Cybersecurity Strategy signals the need for a seismic cultural shift for most companies, with the most glaring recommendation coming in the form of security accountability falling primarily on software vendors. This is a positive step, though it is sure to cause teething problems, especially as many organizations struggle to accurately assess their security maturity across the board, particularly among the development cohort.
Descubra cómo se puede integrar una plataforma de aprendizaje ágil para código seguro en los flujos de trabajo y las herramientas de los desarrolladores, y comience a crear una cultura de aprendizaje de código seguro.
A principios de este año, el Consejo de Normas de Seguridad de la PCI presentó la versión 4.0 de su Norma de Seguridad de Datos para la Industria de las Tarjetas de Pago (PCI DSS). Si bien las organizaciones no necesitarán cumplir plenamente con la tecnología 4.0 hasta marzo de 2025, esta actualización es la más transformadora hasta la fecha y requerirá que la mayoría de las empresas evalúen (y probablemente actualicen) los complejos procesos de seguridad y los elementos de su oferta tecnológica. Esto se suma a la implementación de una formación de concienciación en materia de seguridad basada en funciones y una educación regular sobre codificación segura para desarrolladores.
Descubra cómo una plataforma de aprendizaje ágil para código seguro mejora las habilidades de los desarrolladores, reduce el riesgo y reduce la deuda técnica con el tiempo al empezar de la izquierda en el SDLC.
Al ayudar a definir las responsabilidades de nuestras aplicaciones y software dentro de una jerarquía estricta, y al hacer cumplir esas políticas con los mínimos privilegios, podemos asegurarnos de que nuestras aplicaciones y software también sobrevivan y prosperen a pesar del panorama de amenazas que se les presenta.
La Estrategia Nacional de Ciberseguridad de CISA representa la mejor oportunidad que tenemos para elevar los estándares de software en todos los ámbitos y, finalmente, marcar el comienzo de una nueva era de desarrolladores expertos en seguridad.
El 20 de marzo de 2023, Spring Security Advisories publicó una entrada de blog en la que hacía referencia a una vulnerabilidad descubierta internamente, la CVE-2023-20860. No se reveló información detallada, excepto que se trataba de un problema de control de acceso relacionado con el uso de `MvcMatchers`. Los desarrolladores de Spring han solucionado el problema y se recomienda actualizar la versión. Como la seguridad es nuestro principal objetivo en Secure Code Warrior, hemos decidido profundizar en esta vulnerabilidad de MVCRequestMatchers y averiguar dónde reside el problema principal.
From secure coding to governing AI-driven software
The key moments across product, growth, and market shifts that shaped how modern software is secured.
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.
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.
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.
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.
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.
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.
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 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.
AI didn’t just accelerate software development — it changed how it must be secured.
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.
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.
