Insights from experts shaping secure development

AI-assisted development is no longer on the horizon — it’s here, and it’s rapidly reshaping how software is written. Tools like GitHub Copilot, Cline, Roo, Cursor, Aider, and Windsurf are transforming developers into co-pilots of their own, enabling faster iteration and accelerating everything from prototyping to major refactoring projects.

When reflecting on our own technology, SCW’s Developer Risk Management platform, I am buoyed by recent metrics from one of our core enterprise clients, and going down the proverbial rabbit hole into this data tells a tale of a high-adoption, potent Secure by Design initiative that has been proven to considerably reduce risk in their organization.

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 a recent report from Gartner, the rampant use of shadow AI and rogue automation is further fueling the proliferation of AI vulnerabilities. Gartner notes that 32% of IT workers using generative AI tools at work say they keep them hidden from cybersecurity teams. Combined with low-code/no-code platforms and vibe coding practices, the AI copilots are greatly expanding the enterprise attack surface.

For this article, we asked a central question for security and risk leaders: "What differentiates a policy that genuinely mitigates enterprise risk from one that exists primarily to demonstrate that the organization has acknowledged AI risk?"

Secure Code Warrior's Pieter Danhieux on Managing AI-Driven Development Risks

APIs act like flawed humans; is treating them as such the key to better cybersecurity?

Building security maturity in development teams can be approached in stages. Based on our experience with 400+ organizations, we've identified common practices and traits in three different stages of security maturity - defining, adopting, and scaling.