Insights from experts shaping secure development

El código inseguro cuesta millones a las empresas, entonces, ¿qué es lo que impide la adopción de prácticas de codificación seguras? En un mundo en el que prácticamente todo depende del software, es fundamental garantizar la seguridad del código. La reputación de la marca y la viabilidad financiera dependen de ello. Dicho esto, existen muchas preocupaciones en torno a la codificación segura y muchos obstáculos para su adopción plena y efectiva. Ahora más que nunca, se requiere una nueva forma de trabajar.

En los últimos años, se han sacrificado muchas cosas en aras de la velocidad de comercialización, como la seguridad de la red, los terabytes de datos confidenciales de los clientes y la inestimable reputación de las marcas.

Si alguna vez hubo algo que arruinó la Navidad en la industria de la ciberseguridad, es una devastadora violación de datos que va camino de convertirse en el mayor evento de ciberespionaje registrado que afecte al gobierno de los Estados Unidos.

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.

DEVOPSdigest invited experts across the industry — consultants, analysts and vendors — to comment on how AI can support the software development life cycle (SDLC). Part 3 of this series covers advantages gained by leveraging AI tools in software development.

CISOs need an AI visibility and KPI plan that supports a “just right” balance to enable optimal security and productivity outcomes.

Whether teams opt for on-the-job collaborative training opportunities or interactive, agile learning sessions, they would substantially benefit from standardized developer benchmarking for success. Such benchmarking could lead to a ‘trust score’ that, much like rewards programs, would provide incentives to developers for their security achievements and offer clear pathways for improvement.

See how 16 leading AI models actually code, scored across 11 real-world frameworks and 1,760 codebases — the framework matters as much as the model.

AI risk doesn't stop at engineering. Get the one-pager on Citizen AI — build AI literacy and safe habits across your whole workforce.

From AI autocomplete to autonomous agents—explore how software development is evolving and what it means for security, governance, and your team.