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

Gartner Security & Risk Management Summit 2026
Excited to sponsor the Gartner Security & Risk Management Summit in London, September 22–24, 2026! Come connect with our team to see how Secure Code Warrior is helping organizations govern AI-generated code and build lasting security skills across the SDLC. See you there!

The Future of AI Software Governance Is Built on Strong Partnerships
Discover why Secure Code Warrior is becoming a channel-first company and how trusted partners help organizations adopt AI Software Governance securely and at scale.

Citizen AI by Secure Code Warrior: Build an AI-Ready Workforce
Secure Code Warrior's AI literacy program for non-developer employees.
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Why most CISOs are navigating AI adoption blindfolded (and how they can remove it)
Today, Secure Code Warrior issued an all-new white paper covering a prescriptive, directional AI adoption model that security leaders can use to identify their adoption stage and make real progress in bringing the AI security risks within their organization under control.

Kamer van Koophandel Sets the Standard for Developer-Driven Security at Scale
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.
Going for Gold: Soaring Secure Code Standards at Paysafe
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 Decreases Security Debt with Secure Code Warrior
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.

The AI Journal: Resilience and Developer Risk Management: Two Pillars of Success in the Era of Secure by Design and AI Coding
Change is afoot in cybersecurity governance, and it couldn’t come at a more transformative time for security leaders worldwide. The White House issued a recent Executive Order (EO) designed to “reprioritize cybersecurity efforts to protect America”, and with it, reduce friction related to overzealous government oversight to focus on protecting critical digital assets and enhanced secure technology practices. Coupled with significant cuts to CISA, one could be forgiven for being apprehensive of the right approach going forward, especially in the wake of rapid AI technology progression and Secure by Design initiatives.

SecurityWeek: How to Close the AI Governance Gap in Software Development
Widespread adoption of AI coding tools accelerates development—but also introduces critical vulnerabilities that demand stronger governance and oversight.

AI Coding Assistants: A Guide to Security-Safe Navigation for the Next Generation of Developers
Large language models deliver irresistible advantages in speed and productivity, but they also introduce undeniable risks to the enterprise. Traditional security guardrails aren’t enough to control the deluge. Developers require precise, verified security skills to identify and prevent security flaws at the outset of the software development lifecycle.
Gaining Buy-In with Developers
Security training might feel like just another hurdle in a developer's workflow, but this one pager highlights what's in it for them.

Developer Risk Management Overview
Developer Risk Management is a holistic and proactive approach to application security, focused on code contributors rather than within the bits and bytes of the application layer itself.






