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.

DigitalOcean's use of Secure Code Warrior training has significantly reduced security debt, allowing teams to focus more on innovation and productivity. The improved security has strengthened their product quality and competitive edge. Looking ahead, the SCW Trust Score will help them further enhance security practices and continue driving innovation.

According to research company Forrester[1], the tech debt for 75% of organisations will increase to a moderate or high level during this year, due to the rapid expansion of AI usage across a range of areas including software development.

While it’s early into 2026, we’re seeing new research that reveals the extent of cyber risks caused by artificial intelligence (AI)-assisted software development: Nearly 7 in 10 organizations have discovered vulnerabilities introduced by AI-generated code, and 1 in 5 have suffered a serious incident tied directly to the vulnerabilities.

Artificial intelligence (AI) has rapidly become indispensable to modern software development. From large language models that generate code on demand to agentic systems that automate entire workflows, AI tools promise dramatic gains in productivity and efficiency.

Large language models deliver irresistible advantages in speed and productivity, but they also introduce undeniable risks to the enterprise. Traditional security guardrails aren’t enough to control the deluge. Developers require precise, verified security skills to identify and prevent security flaws at the outset of the software development lifecycle.

Security training might feel like just another hurdle in a developer's workflow, but this one pager highlights what's in it for them.

Developer Risk Management is a holistic and proactive approach to application security, focused on code contributors rather than within the bits and bytes of the application layer itself.