Insights from experts shaping secure development

Post-quantum cryptography (PQC) is critical for protecting data from quantum computing threats. Learn how “harvest now, decrypt later” exposes risk and how developers can prepare for quantum-safe security.

Explore Enabler 2: Senior Leadership Sponsorship. Learn why active buy-in from the CIO, CTO, and CISO is vital to drive developer adoption and program credibility.

While development teams look to make the most of GenAI’s undeniable benefits, we’d like to propose a four-point foundational framework that will allow security leaders to deploy AI coding tools and agents with a higher, more relevant standard of security best practices. It details exactly what enterprises can do to ensure safe, secure code development right now, and as agentic AI becomes an even bigger factor in the future.

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.

AI is now a key piece of modern software development. More than four out of five developers use AI coding tools daily or weekly – with many relying on multiple tools in parallel. Teams must understand where automation ends, and where accountability begins.

Secure code should be grounded more in concepts like secure by default and secure by design than by “spot the vuln” thinking. Matias Madou shares his experience in secure coding training and the importance of teaching critical thinking. He also discusses why critical thinking is so closely related to threat modeling and how LLMs can be a tool for helping developers get beyond the superficial advice of, “Think like an attacker.”

Organizations are at an inflection point driven by the explosive adoption of AI, which promises significant changes in how businesses operate. That leaves CISOs on unsteady ground. As the gatekeepers of their organization’s data and access, they must ensure the security of the enterprise. However, the prospects of a headlong charge into wide-ranging, and possibly unchecked, use of AI could create a flood of security issues that many CISOs, under their current organizational structures, aren’t equipped to handle.

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.

This guide offers practical strategies to engage development teams in PCI DSS 4.0 compliance. It outlines the modern developer's requirements for compliance, strategies for security professionals and development managers to collaborate on developer-focused security programs, and step-by-step advice on effective training initiatives to mitigate vulnerabilities permanently.