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

10 Key Predictions: Secure Code Warrior on AI & Secure-by-Design’s Influence in 2025
Organizations are facing tough decisions on AI usage to support long-term productivity, sustainability, and security ROI. It’s become clear to us over the last few years that AI will never fully replace the role of the developer. From AI + developer partnerships to the increasing pressures (and confusion) around Secure-by-Design expectations, let’s take a closer look at what we can expect over the next year.

OWASP Top 10 For LLM Applications: What’s New, Changed, and How to Stay Secure
Stay ahead in securing LLM applications with the latest OWASP Top 10 updates. Discover what's new, what’s changed, and how Secure Code Warrior equips you with up-to-date learning resources to mitigate risks in Generative AI.

Trust Score Reveals the Value of Secure-by-Design Upskilling Initiatives
Our research has shown that secure code training works. Trust Score, using an algorithm drawing on more than 20 million learning data points from work by more than 250,000 learners at over 600 organizations, reveals its effectiveness in driving down vulnerabilities and how to make the initiative even more effective.

Devlympics 2023: In Review
Explore the Devlympics 2023 results in this report. Dive into developer engagement, tech stack and languages trends in each industry that participated, and key vulnerabilities and CWEs covered in the annual global event hosted by Secure Code Warrior.

One Culture of Security: How Sage built their security champions program with agile secure code learning
Discover how Sage enhanced security with a flexible, relationship-focused approach, creating 200+ security champions and achieving measurable risk reduction.

The path to security champions: How Workday utilized agile learning to upskill developers
Discover how Workday transformed developer training with agile learning through Secure Code Warrior. By empowering developer with hands-on, language-specific education, Workday reduced vulnerabilities early in the SDLC. See their impressive results and key takeaways to build a secure code culture.

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?"
Trust Agent:AI - Secure and scale AI-Drive development
AI is writing code. Who’s governing it? With up to 50% of AI-generated code containing security weaknesses, managing AI risk is critical. Discover how SCW's Trust Agent: AI provides the real-time visibility, proactive governance, and targeted upskilling needed to scale AI-driven development securely.

The Power of OpenText Application Security + Secure Code Warrior
OpenText Application Security and Secure Code Warrior combine vulnerability detection with AI Software Governance and developer capability. Together, they help organizations reduce risk, strengthen secure coding practices, and confidently adopt AI-driven development.

Secure Code Warrior corporate overview
Secure Code Warrior is an AI Software Governance platform designed to enable organizations to safely adopt AI-driven development by bridging the gap between development velocity and enterprise security. The platform addresses the "Visibility Gap," where security teams often lack insights into shadow AI coding tools and the origins of production code.









