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

The XZ Utils backdoor in Linux points to a wider supply chain security issue, and we need more than community spirit to keep it at bay
A critical vulnerability, CVE-2024-3094, was discovered in the XZ Utils data compression library used by major Linux distributions, introduced through a backdoor by a threat actor. This high-severity issue allows for potential remote code execution, posing significant risks to software build processes. The flaw affects early versions (5.6.0 and 5.6.1) of XZ Utils in Fedora Rawhide, with an urgent call for organizations to implement patches. The incident underscores the critical role of community volunteers in maintaining open-source software and highlights the need for enhanced security practices and access control within the software development lifecycle.

Reaping the benefits of AI innovation depends on starting with secure code
Generative AI offers financial services companies a lot of advantages, but also a lot of potential risk. Training developers in security best practices and pairing them with AI models can help create secure code from the start.

Harnessing AI and proactive measures for effective management of vulnerability alerts
Secure Code Warrior and Mend.io discuss impacts of AI on security, proactive security approaches, and effective management of vulnerability alerts.

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.

Security brief: AI heightens data privacy risks & reshapes digital trust
Technology and data specialists have warned that artificial intelligence and weak data governance are sharpening privacy risks for organisations, as businesses mark World Data Privacy Day.

ITWire: Data Privacy Week 2026
“Data Privacy Week" presents a great reminder for organisations to reassess their customer privacy policies and prioritise transparent data collection in their marketing strategies.

Dynamic Business: Data Protection Day 2026: Five experts on the privacy risks threatening your business
Five leading cybersecurity experts warn AI is being integrated faster than security policies can manage the risk, creating urgent privacy gaps for SMEs ahead of Data Protection Day on 28 January.
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.






