Insights from experts shaping secure development

Quests ermöglichen es Entwicklern, sicheres Programmieren durch interaktives Lernen zu beherrschen, Risiken zu reduzieren und die Entwicklung zu optimieren

Das Gründungsteam von Secure Code Warrior ist zusammen geblieben und hat das Schiff ein ganzes Jahrzehnt lang durch jede Lektion, jeden Triumph und jeden Rückschlag gesteuert. Wir expandieren und sind bereit für unser nächstes Kapitel, SCW 2.0, als Marktführer im Bereich Risikomanagement für Entwickler.

Unternehmen stehen vor schwierigen Entscheidungen über den Einsatz von KI, um den langfristigen ROI von Produktivität, Nachhaltigkeit und Sicherheit zu unterstützen. In den letzten Jahren wurde uns klar, dass KI die Rolle des Entwicklers niemals vollständig ersetzen wird. Von Partnerschaften zwischen KI und Entwicklern bis hin zum zunehmenden Druck (und der Verwirrung) im Zusammenhang mit den Erwartungen an Secure-by-Design — schauen wir uns genauer an, was uns im nächsten Jahr erwarten wird.

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.