Insights from experts shaping secure development

Bleiben Sie beim Schutz von LLM-Anwendungen mit den neuesten OWASP Top 10-Updates immer einen Schritt voraus. Erfahren Sie, was neu ist, was sich geändert hat und wie Secure Code Warrior Sie mit aktuellen Lernressourcen ausstattet, um Risiken im Bereich Generative KI zu minimieren.

Unsere Untersuchungen haben gezeigt, dass sicheres Codetraining funktioniert. Trust Score verwendet einen Algorithmus, der auf mehr als 20 Millionen Lerndatenpunkten aus der Arbeit von mehr als 250.000 Lernenden in über 600 Organisationen basiert. Er zeigt, wie effektiv es ist, Sicherheitslücken zu schließen und zeigt, wie die Initiative noch effektiver gestaltet werden kann.

The idea of bringing preventive security to legacy code and systems at the same time as newer applications can seem daunting, but a Secure-by-Design approach, enforced by upskilling developers, can apply security best practices to those systems. It’s the best chance many organizations have of improving their security postures.

In this case study, learn how Thales has developed people, process, and technology approaches for an agile secure code learning program in order to engage developers to become active security champions.

Learn how Derek Fisher, Head of Product Security at Envestnet and the author of “The Application Security Handbook”, worked with Secure Code Warrior to develop a holistic approach to reduce vulnerabilities through agile secure code enablement for his developer teams.

Discover how retail giant Colgate-Palmolive reshaped its application security during its digital transformation journey. Facing challenges in secure coding, they innovated their approach by integrating bite-sized, in-context learning into the developer workflow.

The emergence of agentic AI marks a structural shift in software development, introducing systems that not only accelerate production cycles but also perform autonomous reasoning and action beyond direct human control.

As AI-generated code becomes commonplace, CISOs need new audit strategies to measure developer practices, govern AI tool usage, and identify software risks before they reach production.

This category has taken on new urgency in 2026 for a reason that’s specific to this moment: AI coding tools and agents are dramatically increasing how much code gets written and how often it needs to be deployed, tested, and provisioned for. Platform engineering is the layer that determines whether that increased velocity translates into shipped value or into chaos.

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.