Insights from experts shaping secure development

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.

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.

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

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.

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'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 concern is straightforward: development teams may place undue confidence in AI tools that are not equipped to interpret the nuanced context in which many security vulnerabilities arise. Large language models, for instance, can struggle to understand an application’s authentication or authorisation architecture, increasing the likelihood of missing critical safeguards.

Industry guidance on managing the risks of AI-generated code increasingly points to the same conclusion: effective safeguards rely on close collaboration between humans and machines, with developers remaining firmly in the loop.

Agentic artificial intelligence (AI) is set to reshape the enterprise landscape in the Asia-Pacific and Japan (APJ) region in 2026, according to industry executives. Organisations are expected to embrace increasingly autonomous software agents, raising both productivity and new categories of risk across business domains.

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.

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 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.