Insights from experts shaping secure development

Die Vorstellung, was den Akt der sicheren Codierung ausmacht, steht zur Debatte. Jüngsten Untersuchungen in Zusammenarbeit mit Evans Data zufolge wurde dieses Gefühl schwarz auf weiß enthüllt. Die Umfrage State of Developer-Driven Security 2022 befasst sich mit den wichtigsten Erkenntnissen und Erfahrungen von 1200 aktiven Entwicklern und beleuchtet deren Einstellungen und Herausforderungen im Sicherheitsbereich.

Learn how Coding Labs is like a personal trainer for developers- utilizing interactive, hands-on modules and intuitive feedback within a convenient in-browser IDE to help developers go from learning to doing faster than ever before.

Diese Woche feiern wir offiziell acht Jahre Secure Code Warrior. Einerseits ist das die 350-fache Länge der Apollo-11-Mission und das Äquivalent von 45.000 Fußballspielen oder 5696 Spielen von Super Mario Odyssey bis zum Ende. Andererseits ist es nur ein Dreißigstel der Lebensdauer einer Riesenschildkröte (250 Jahre, falls Sie sich das fragen). In der Welt eines wachstumsstarken Startups ist es eine Reise mit vielen Wendungen, Lektionen und Errungenschaften, von denen viele unvorstellbar waren, als wir unseren Geschäftsplan zum ersten Mal verfassten.

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.