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.

In this case study, learn how Thales has developed people, process, and technology approaches for an agile secure code learning program in order to engage developers to become active security champions.

Learn how Derek Fisher, Head of Product Security at Envestnet and the author of “The Application Security Handbook”, worked with Secure Code Warrior to develop a holistic approach to reduce vulnerabilities through agile secure code enablement for his developer teams.

Discover how retail giant Colgate-Palmolive reshaped its application security during its digital transformation journey. Facing challenges in secure coding, they innovated their approach by integrating bite-sized, in-context learning into the developer workflow.

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.