Insights from experts shaping secure development

Als Experte für Anwendungssicherheit ist es Ihre Aufgabe, die Cybersicherheit der Anwendungen Ihres Unternehmens zu gewährleisten. Sie sind jedoch nicht dafür verantwortlich, den Code zu schreiben, auf dem die Anwendung ausgeführt wird. Ingenieure innerhalb des Entwicklungsteams sind es. Wie stellen Sie also sicher, dass sie diese Systeme unter Berücksichtigung der Sicherheit entwickeln?

In diesem Artikel wird ein Überblick über die Sicherung der eingebetteten Systeme gegeben. Wir beginnen mit der grundlegenden Definition und gehen dann zu den Herausforderungen im Bereich eingebetteter Sicherheit über, einigen typischen Lösungen und den fehlenden Rätseln.

In diesem Beitrag werden wir den MISRA C 2012-Standard mit C2 vergleichen und Sie durch den Umstieg auf den neuen Standard führen. Wir werden erklären, warum die Einhaltung von MISRA für den Aufbau sicherer eingebetteter Systeme erforderlich ist.

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.

Developers have long struggled to truly claim a seat at the table in traditional threat modeling programs, but with the right skills, they have the opportunity to wield AI responsibly to seriously cut risk and rework in their codebase.

AI-generated code may be “made by machine”, but taking a cookie-cutter approach to securing that code would fall well short of mitigating the vulnerabilities LLMs can introduce. Organizations need to establish precise security reviews, with human developers anchoring the process to implement effective security controls while also managing the specific coding temperament of each LLM used. AI-generated code must undergo the same personalized risk assessments as code written by human developers.

s artificial intelligence (AI) tools become more widely used in the software development process, their impact on security is becoming clearer. According to recent research, nearly 70% of organisations have discovered vulnerabilities caused by AI tools while one in five have experienced a serious incident as a result of those vulnerabilities.

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.

Gartner named SCW twice in the 2026 Hype Cycle for Secure Software Engineering. Here's why it matters for AI-driven development.