Insights from experts shaping secure development

Executive buy-in doesn't sustain itself. Enabler 6 shows how regular reporting keeps leadership engaged, informed, and invested in program success.

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.

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.

Software is the foundation of virtually every modern enterprise, yet our reliance on potentially vulnerable open-source components in critical systems represents an extreme risk in the software supply chain. It’s an ailment for which we must find an appropriate cure.

One of the most challenging aspects of integrating AI tools into business operations is determining which outputs are trustworthy, which tools you can trust to become part of your tech stack, the strengths and weaknesses of each tool, and how you can ensure consistent results if different tools or processes are being used.

AI coding tools can assist the defence capabilities of developers, enabling an easier pathway to a ‘security-first’ mindset. However, like any new and potentially impactful innovation, they also raise potential questions that teams and organisations need to explore.

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.