AI may write code, but skill secures it.

Our enterprise secure coding platform builds the skills needed to secure both human and AI-generated code without slowing delivery.

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Chat interface with AI assistant 'Obi' discussing AI caption generation for cafe photos and code file changes.
From the #1 secure coding training company
The skills gap

AI accelerates code. AI security skills must keep pace.

AI coding assistants can generate production-ready code in seconds. But speed does not equal security. AI security training helps developers identify vulnerabilities in AI-generated code, prevent prompt injection, and apply secure coding practices across modern AI workflows.

Developers are now expected to:
Identify vulnerabilities in AI-generated code
Recognize insecure patterns introduced by LLMs
Apply secure coding standards across languages
Prevent new risks like prompt injection

Nearly 45% of AI-generated code contains known security vulnerabilities. Securing AI-generated code starts with developer capability to identify and fix risks before code reaches production.

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Product overview

Build developer capability for secure AI development

Secure Code Warrior Learning provides AI security training that builds the skills behind every commit. Developers learn to secure AI-generated code through hands-on practice across real-world AI workflows, reducing risk at the source.

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Product overview

The behavior engine of AI software governance

Secure Code Warrior Learning strengthens the skills behind every commit. While Trust Agent governs AI-assisted development at commit, Learning builds measurable secure coding capability across engineering teams — helping developers review and secure both human-written and AI-generated code.

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Assess

Benchmark developer secure coding proficiency

Assign

Deliver targeted, risk-based learning paths

Practice

Reinforce skills through hands-on coding labs

Validate

Measure improvement with SCW Trust Score®

Improve

Reduce recurring vulnerabilities over time

Core capabilities

Comprehensive AI security training for modern development

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Modern AI frameworks and environments

Modern AI frameworks and environments

Secure real-world AI stacks

Developers train across production AI technologies including Python (LangChain, MCP), Terraform (AWS Bedrock), and modern backend frameworks powering AI applications.

LLM missions and coding labs

LLM missions and coding labs

Apply AI security skills in real scenarios

Developers build capability through immersive Missions and hands-on Coding Labs that simulate real-world AI security scenarios and vulnerability exploitation patterns.

AI security concepts and design patterns

AI security concepts and design patterns

Build foundational AI security knowledge

Developers learn how to securely use AI through topics like AI risk and security, threat modeling with AI, OWASP Top 10 for LLMs, and AI agent protocols (MCP, A2A, ACP).

Outcomes & Impact

Reduce AI-driven risk at the source of code creation through developer training

Secure Code Warrior delivers AI security training that builds developer capability to identify and prevent vulnerabilities in both human-written and AI-generated code. Through hands-on learning and real-world AI security scenarios, organizations reduce recurring vulnerabilities, strengthen secure coding behavior, and demonstrate measurable improvement across modern development workflows.

*Kommt bald
Reduction in introduced vulnerabilities
53%+
Faster mean
time to remediate
3x+
AI/LLM learning
activities
1k+
Comprehensive secure coding languages covered
75+
Who it’s for

Security, engineering, and learning leaders responsible for secure development

Support secure AI development with role-specific capabilities tailored to your organization’s needs.

For security & AI governance leaders

Demonstrate measurable developer competency and reduce software risk across human and AI-assisted development.

For learning & development leaders

Deliver structured, measurable secure coding programs that drive adoption, prove impact, and align to enterprise compliance requirements.

For engineering leaders

Enable developers to write resilient, secure code while maintaining velocity and reducing rework.

For AppSec leaders

Scale developer-driven security and reduce introduced vulnerabilities without increasing review headcount.

Secure AI-generated code starts with trained developers

Strengthen secure coding skills, reduce introduced vulnerabilities, and build measurable developer trust across your organization.

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trust score
AI security training for developers FAQs

Secure AI-assisted development starts with developer capability

Learn how Secure Code Warrior helps teams adopt AI safely, reduce risk, and build measurable developer capability.

Wie lernen Entwickler, KI-generierten Code zu sichern?

Entwickler lernen, KI-generierten Code durch praktisches KI-Sicherheitstraining in simulierten KI-Workflows zu sichern.

Secure Code Warrior bietet KI-Quests, Coding Labs und interaktive Herausforderungen, die Entwicklern beibringen, wie sie KI-Outputs validieren, unsichere Muster erkennen und sicher mit KI-Agenten, MCP (Model Context Protocol) und LLMs interagieren können.

Welche Sicherheitsrisiken birgt KI-generierter Code?

KI-generierter Code kann Schwachstellen wie Prompt Injection, Excessive Agency (übermäßige Handlungsfähigkeit), Offenlegung vertraulicher Daten und unsichere Ausgabeverarbeitung einführen. Adaptive Learning begegnet diesen Risiken, indem es Entwicklern beibringt, KI-generierte Ausgaben zu validieren und zu sichern.

Wie unterscheidet sich KI-Sicherheitstraining von traditionellem Training in sicherer Codierung?

Secure Code Warrior bietet interaktives KI-Sicherheitstraining, das sich darauf konzentriert, wie Entwickler mit KI-Systemen interagieren, und nicht nur darauf, wie sie Code schreiben. Die Schulung umfasst sicheres Prompt-Engineering, die Bewertung von KI-Antworten und die Governance von Unternehmens-KI, einschließlich richtlinienkonformer KI-Nutzung.

Wie unterstützt Secure Code Warrior KI-Sicherheitstraining?

Secure Code Warrior baut die Fähigkeiten von Entwicklern durch praxisnahes Lernen in KI-Herausforderungen (AI Challenges), Missionen, Coding Labs und Quests aus.

Entwickler üben sicheres Arbeiten mit KI in den Sprachen, Frameworks und KI-Umgebungen, die sie tatsächlich verwenden — von der Validierung KI-generierten Codes bis hin zur Sicherung von agentischen Workflows.

Welche KI-Technologien und -Frameworks werden abgedeckt?

Secure Code Warrior bietet Schulungen in modernen KI-Technologien und -Frameworks an, darunter:

  • KI-Agenten und -Protokolle (MCP, A2A, ACP)
  • Große Sprachmodelle (OpenAI, Anthropic, Google)
  • KI-API-Integrationen & Datenschutz
  • KI-Interaktions- und Validierungs-Frameworks
Wie können Organisationen die KI-gestützte Entwicklung steuern und Risiken reduzieren?

Unternehmen steuern KI-gestützte Entwicklung, indem sie Transparenz über die Nutzung von KI erlangen, Governance-Richtlinien innerhalb von Entwicklungs-Workflows anwenden und Entwickler mit Fähigkeiten zur KI-Sicherheit ausstatten. Dieser einheitliche Ansatz stellt sicher, dass KI die Softwareentwicklung beschleunigt, ohne die Sicherheit zu beeinträchtigen.

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