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.

Explore this comprehensive case study to learn more about how they utilized Secure Code Warrior's tournaments to engage developers, increase awareness of key vulnerabilities affecting automotive software, and gain metrics across multiple languages and frameworks.

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

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.