Insights from experts shaping secure development

Wir haben uns kürzlich mit Dimitri Vanderhaeghe, Software Engineer bei Selligent Marketing Cloud, getroffen, einer hochintegrierten, KI-gestützten Omnichannel-Marketingautomatisierungsplattform, die es ambitionierten B2C-Marketern ermöglicht, jeden Moment der Interaktion mit den vernetzten Verbrauchern von heute zu maximieren. Für ein schnelllebiges B2C-Technologieunternehmen ist es von entscheidender Bedeutung, zu skalieren und den wachsenden Anforderungen seines Marktes gerecht zu werden. Ein Teil der Fähigkeit, diesen Anforderungen gerecht zu werden, ist die Betonung der Cybersicherheit und vor allem ein von Entwicklern geleitetes Programm für Sicherheitskompetenzen.

Wie ist das für eine ernüchternde Statistik? 60% der KMUs gehen innerhalb von sechs Monaten nach einem erfolgreichen Cyberangriff pleite. Große Unternehmen verlieren Millionen (oder Milliarden!) während der Ruf einer Marke ausblutet. Da Unternehmen zunehmend sichere Codierungspraktiken anwenden, findet eine „Verschiebung nach links“ statt. Mit dem Aufkommen von DevSecOps rückt der sichere Code von Beginn des SDLC an in den Mittelpunkt.

Discover more about the most loved features of Sensei.

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.

For years, many CISOs have struggled to educate their developers about the importance of putting security first. They’ve also been working to control an increasingly complex threat landscape and spiralling attack surface, all while navigating a security skills shortage. They need a new approach that helps to uplift the security culture organisation-wide while ensuring AppSec professionals and developers alike have what they need to drive down vulnerabilities and risks.

Of all the tasks that large language models (LLMs) and Generative AI can undertake, one that’s captured significant attention is generating computer code. Developers are increasingly using GenAI tools to streamline workflows and improve productivity.

Security-aware developers who demonstrate expertise in safely leveraging Artificial Intelligence (AI) tools will eventually be able to take on new roles as AI guardians or mentors, working with AI to ensure the passage of safe code into their codebase.

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.