Insights from experts shaping secure development

Discover why Secure Code Warrior is becoming a channel-first company and how trusted partners help organizations adopt AI Software Governance securely and at scale.

Secure Code Warrior's AI literacy program for non-developer employees.

Today, Secure Code Warrior issued an all-new white paper covering a prescriptive, directional AI adoption model that security leaders can use to identify their adoption stage and make real progress in bringing the AI security risks within their organization under control.

Kamer van Koophandel shares how it embedded secure coding into everyday development through role-based certifications, Trust Score benchmarking, and a culture of shared security ownership.

See how Paysafe's partnership with Secure Code Warrior led to a 45% boost in developer productivity and a major reduction in code vulnerabilities.

Explore the Devlympics 2023 results in this report. Dive into developer engagement, tech stack and languages trends in each industry that participated, and key vulnerabilities and CWEs covered in the annual global event hosted by Secure Code Warrior.

According to a recent survey, more than seven in ten developers who have used AI coding tools report relying on them on a daily basis. However, many organisations still lack clear visibility into how these tools are influencing production code, creating governance gaps at a time when demand is accelerating and delivery timelines are tightening.

As enterprises embrace agentic AI and vibe coding, Secure Code Warrior CEO and co-founder Pieter Danhieux warns that code-generating models are still producing critical security flaws.

Secure Code Warrior, a leader in AI software governance and developer security upskilling, today introduced its new SCW AI Adoption Model, a practical framework that maps the full progression of AI use in software development, from minimal AI assistance or fully autonomous agentic orchestration. The framework gives CISOs a roadmap to identify where their organisation sits today from an AI adoption perspective, the training developers need at each stage, and which governance controls are required as autonomy increases — answering the question every security leader is asking: where do we start?

By assessing and understanding a development team’s security maturity, organizations can formulate a plan with the right stakeholders, process, and technology to build and support the necessary skills and capabilities.

Security maturity in development teams should be a continuous cycle of improvement with realistic goals along the way. As development teams increase their security maturity, they reduce the amount of rework and minimize risk, while also allowing automation to help create efficiency in the SDLC.