Insights from experts shaping secure development

Eine große Mehrheit der Websites verwendet XML-Datenbanken, um wichtige Funktionen wie das Speichern von Benutzeranmeldedaten, Kundeninformationen, persönlichen Identitätsinformationen und vertraulichen oder sensiblen Daten auszuführen, sodass XQuery-Angriffe einen ziemlich großen Angriffsfußabdruck haben.

Was ist eine Sicherheitsfehlkonfiguration? Finden Sie die häufigsten Sicherheitsfehlkonfigurationen und erfahren Sie, wie Sie Sicherheitslücken verhindern können. Lernen Sie von Secure Code Warrior.

Je älter meine Tochter und das Unternehmen werden, desto mehr wird mir klar, dass es so viele Ähnlichkeiten zwischen einer Startup-Reise und der ersten Elternreise gibt. Ich bin jetzt beide in meinem vierten Jahr.pi

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.

New AI Software Governance solution makes AI-generated code visible at commit, enforces policy before production, and connects real development behavior to measurable risk reduction.

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.

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.