Insights from experts shaping secure development
Access expert content on secure coding, AI governance, and software risk management.

Post-Quantum Cryptography: Quantum Computers Will Break Today’s Encryption – Are You Ready?
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.
Enabler 2: Senior Leadership Sponsorship
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.

Observe and Secure the ADLC: A Four-Point Framework for CISOs and Development Teams Using AI
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.

How Thales implemented developer-driven security
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.

How Envestnet adopted an agile secure code learning platform and tripled developer effectiveness in vulnerability reduction
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.

How Colgate-Palmolive boosted developer security skills and created a secure coding culture
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.

SD Times: AI-Assisted Development Multiplies Human Error: What’s Your AI Governance and Risk Management Strategy?
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.

Cybersecurity Tribe: What Separates Real AI Governance From Policy Theater
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?"

OWASP Top 10 API: Strategies for Smart Developers
Download the practical guide to defeating common API security baddies in your code.
How to unify your security and development teams to stand together against security risk
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How AppSec can reduce vulnerabilities and achieve compliance - leaving them free to tackle larger beasts
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