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
Unsere neuesten Inhalte
Eine kritische Sicherheitslücke, CVE-2024-3094, wurde in der Datenkomprimierungsbibliothek XZ Utils entdeckt, die von großen Linux-Distributionen verwendet wird und durch eine Hintertür von einem Bedrohungsakteur eingeführt wurde. Dieses hochgradige Problem ermöglicht eine potenzielle Codeausführung aus der Ferne und stellt ein erhebliches Risiko für Softwareerstellungsprozesse dar. Der Fehler betrifft frühe Versionen (5.6.0 und 5.6.1) von XZ Utils in Fedora Rawhide. Unternehmen werden dringend aufgefordert, Patches zu implementieren. Der Vorfall unterstreicht die entscheidende Rolle von Freiwilligen aus der Community bei der Wartung von Open-Source-Software und unterstreicht die Notwendigkeit verbesserter Sicherheitspraktiken und Zugriffskontrollen innerhalb des Softwareentwicklungszyklus.
Generative KI bietet Finanzdienstleistungsunternehmen viele Vorteile, aber auch viele potenzielle Risiken. Entwickler in bewährten Sicherheitsmethoden zu schulen und sie mit KI-Modellen zu kombinieren, kann dazu beitragen, von Anfang an sicheren Code zu erstellen.
Durch die Einhaltung sicherer Codierungspraktiken können Entwickler dazu beitragen, ihre Anwendungen vor Sicherheitslücken zu schützen, die von Angreifern ausgenutzt werden können. So wie ein gut gebautes Haus weniger wahrscheinlich zusammenbricht, ist es weniger wahrscheinlich, dass eine gut programmierte Anwendung gehackt wird.
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Es scheint zwar unvermeidlich, dass die KI-Technologie im LLM-Stil die Art und Weise verändern wird, wie wir viele Aspekte der Arbeit angehen — nicht nur die Softwareentwicklung —, aber wir müssen einen Schritt zurücktreten und die Risiken berücksichtigen, die hinter den Schlagzeilen stehen. Und als Begleiter beim Programmieren sind ihre Schwächen vielleicht das „menschlichste“ Merkmal.
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.
