Insights from experts shaping secure development

OWASP Top 10 2025 lists Software Supply Chain Failures at #3. Mitigate this high-impact risk via strict SBOMs, dependency tracking, and CI/CD pipeline hardening.

OWASP Top 10 2025 adds Mishandling of Exceptional Conditions at #10. Mitigate risks via "fail closed" logic, global error handlers, and strict input validation.

Discover what changed in the OWASP Top 10: 2025 and how Secure Code Warrior makes the transition easy with updated Quests, Courses, and developer insights.

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

This one-pager introduces SCW Trust Agent: AI, a new set of capabilities that provide deep observability and governance over AI coding tools. Learn how our solution uniquely correlates AI tool usage with developer skills to help you manage risk, optimize your SDLC, and ensure every line of AI-generated code is secure.

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.