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.

Security leaders and developers alike are already acutely aware that AI coding assistants and agentic agents can introduce vulnerabilities into the code they generate. A recent study unveiled another critical concern to keep them up at night — LLMs used for making iterative code improvements may introduce new vulnerabilities over time, even when explicitly asked to make code more secure.

Government bodies are trying to develop rules and regulations for safe AI use, but enterprises can't afford to wait. They need to address the risks now.

In the sphere of cybersecurity in general and application security in particular, human oversight remains an absolute 'must' to harness the benefits of AI productivity.

Evaluate your software security infrastructure to support PCI-DSS requirements

Financial services institutions face an array of challenges that hinge on their ability to make efficient, effective use of technology in a fast-evolving financial world. Organizations are operating in a time of rapid changes—both internally and across the industry—in a highly competitive, cloud-based business environment. In pursuing their ongoing digital transformations, for example, organizations are working to get around the organizational friction that hinders investments into new technologies, such as artificial intelligence, that could accelerate payment processes and other procedures.

Explore how generative AI is revolutionizing software development across the SDLC, as highlighted in Gartner's report, advising Application Security leaders on the importance of scrutinizing AI-generated software.