KI kann zwar Code schreiben, aber Fähigkeiten sichern ihn.

Unsere sichere Codierungsplattform für Unternehmen vermittelt die erforderlichen Fähigkeiten, um sowohl von Menschen als auch von KI generierten Code zu sichern, ohne die Bereitstellung zu verlangsamen.

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Vom führenden Anbieter für Schulungen im Bereich sicheres Programmieren

Die Qualifikationslücke

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.

Von Entwicklern wird nun erwartet, dass sie:

Identify vulnerabilities in AI-generated code

Erkennen Sie unsichere Muster, die durch LLMs eingeführt werden

Sichere Codierungsstandards für alle Sprachen anwenden

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.

Produktübersicht

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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Kernkompetenzen

Comprehensive AI security training for modern development

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AI security challenges for developers

Simulated AI-assisted development workflows

Developers learn to secure AI-generated code through interactive challenges that simulate real-world AI workflows. Learn to detect insecure patterns, validate outputs, and prevent vulnerabilities in a safe, controlled environment.

AI and LLM vulnerability training

Learn to identify real AI risk patterns

Learning covers emerging AI vulnerabilities including prompt injection, excessive agency, system prompt leakage, sensitive data exposure, and vector and embedding weaknesses.

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

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

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).

KI-Software-Governance

Die Steuerungsebene für KI-gesteuerte Entwicklung

Machen Sie KI-gesteuerte Entwicklung sichtbar, sicher und widerstandsfähig – verhindern Sie Schwachstellen bereits vor der Produktion, damit Teams schnell und sicher voranschreiten können.

Quests

Guided, role-based learning paths.

Codier-Labore

Remediation in live environments.

AI-Herausforderungen

Secure code in AI workflows.

Missions

Immersive AI security simulations.

Quests

Discover Quests

Quests combine AI Challenges, labs, and missions into guided programs aligned to real-world AI risks and concepts

AI/LLM SECURITY

AI Agents and their Protocols (MCP, A2A and ACP)

Coding With AI

Introduction to AI Risk & Security

LLM Security Design Patterns

OWASP Top 10 for LLM Applications

Bedrohungsmodellierung mit KI

Vibe Coding: Risk Management Framework

CYBERMON 2025 BEAT THE BOSS

Bypassaur: Direct Prompt Injection

Keykraken: Indirect Prompt Injection

Promptgeist: Vector and Embedding Weaknesses

Proxysurfa: Excessive Agency

Kodierlaboratorien

Discover Coding Labs

Practice real-world AI and application security scenarios in live coding environments. Fix vulnerabilities as they would appear in actual development work — not just theory.

Direkte Prompt-Injektion

AI-Herausforderungen

Discover AI Challenges

Over 800 challenges that simulate real AI-assisted development workflows. Build the ability to detect insecure patterns, validate AI outputs, and prevent vulnerabilities before they reach production.

800+ AI security challenges

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Missions

Discover missions

Apply skills across complex, multi-step scenarios that simulate authentic AI risks. Missions build the muscle memory to recognise and respond to real threats in context.

AI/LLM SECURITY

Direkte Prompt-Injektion

Übermäßige Vertretung

Unsachgemäße Behandlung der Ausgabe

Indirekte Prompt-Injektion

LLM Awareness

Offenlegung sensibler Informationen

Vector & Embedding Weaknesses

Ergebnisse und Auswirkungen

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.

*In Bearbeitung

Reduzierung der eingeführten Schwachstellen

53%+

Schnellere durchschnittliche Zeit bis zur Behebung von
en

3x+

AI/LLM learning
activities

1k+

Comprehensive secure coding languages covered

75+

Wie es funktioniert

What developers learn in AI security training

Coverage spans LLM vulnerabilities, agent protocols, infrastructure security, and foundational AI security design — mapped to real developer workflows.

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LLM Vulnerability Coverage

Practice real-world AI and LLM security risks.

AI security training teaches developers how to identify, prevent, and remediate vulnerabilities in AI-generated code and modern AI systems, including:

Direkte Prompt-Injektion

Übermäßige Vertretung

Unsachgemäße Behandlung der Ausgabe

Indirekte Prompt-Injektion

Offenlegung sensibler Informationen

Supply ChainMCP, Agents, and AI Infrastructure Security

Systemaufforderung Leckage

Schwächen von Vektoren und Einbettungen

AI Security Concepts and Design

Build foundational AI security knowledge

Developers learn how to securely design and review AI systems through:

AI Agents and their Protocols (MCP, A2A and ACP)

Coding With AI

Introduction to AI Risk & Security

LLM Security Design Patterns

OWASP Top 10 for LLM Applications

Bedrohungsmodellierung mit KI

Vibe Coding: Risk Management Framework

MCP, Agents & AI Infrastructure

Secure AI agents, protocols, and cloud AI environments

Understand and mitigate risks across agent-based systems and AI infrastructure, including MCP and cloud AI services:

Bedrock (Cloud AI Infrastructure)

Secure AI services and model integrations

Direkte Prompt-Injektion

Übermäßige Vertretung

Unzureichende Protokollierung und Überwachung

Offenlegung sensibler Informationen

MCP (Model Context Protocol)

Model Context Protocol — Secure AI agents and protocol interactions

Access Control: Missing Function Level Access Control

Authentication: Improper Authentication

Authentication: Insufficiently Protected Credentials

Direkte Prompt-Injektion

Indirekte Prompt-Injektion

Information Exposure: Sensitive Data Exposure

Unzureichende Protokollierung und Überwachung

Insufficient Transport Layer Protection: Unprotected Transport of Sensitive Information

Server-Side Request Forgery: Server-Side Request Forgery

Vulnerable Components: Using Known Vulnerable Components

Für wen ist es gedacht?

Security, engineering, and learning leaders responsible for secure development

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

Für Führungskräfte im Bereich Sicherheit und KI-Governance

Demonstrieren Sie messbare Entwicklerkompetenz und reduzieren Sie Software-Risiken bei der menschlichen und KI-gestützten Entwicklung.

Für Führungskräfte im Bereich Lernen und Entwicklung

Strukturierte, messbare und sichere Programmierprogramme bereitstellen, die die Akzeptanz fördern, ihre Wirkung unter Beweis stellen und den Compliance-Anforderungen des Unternehmens entsprechen.

Für Führungskräfte im Ingenieurwesen

Ermöglichen Sie Entwicklern, widerstandsfähigen, sicheren Code zu schreiben, während Sie gleichzeitig die Geschwindigkeit beibehalten und Nacharbeiten reduzieren.

Für AppSec-Führungskräfte

Skalieren Sie entwicklergesteuerte Sicherheit und reduzieren Sie eingeführte Schwachstellen, ohne die Anzahl der Prüfer zu erhöhen.

Secure AI-generated code starts with trained developers

Stärken Sie Ihre Fähigkeiten im Bereich sicheres Programmieren, reduzieren Sie eingebaute Schwachstellen und schaffen Sie messbares Vertrauen in die Entwickler Ihres Unternehmens.

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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.

How do developers learn to secure AI-generated code?

Developers learn to secure AI-generated code through hands-on AI security training in simulated AI workflows.

Secure Code Warrior provides Quests, AI Challenges, Coding Labs, and Missions that teach developers how to identify insecure patterns, validate outputs, and prevent vulnerabilities before code reaches production.

What security risks does AI-generated code introduce?

AI-generated code can introduce vulnerabilities such as prompt injection, excessive agency, sensitive data exposure, and insecure output handling.

These risks often appear in otherwise functional code, making them difficult to detect without developer awareness and training.

How is AI security training different from traditional secure coding training?

Secure Code Warrior delivers interactive, AI security training that focuses on how developers interact with AI systems, not just how they write code.

It teaches developers how to validate AI outputs, recognize insecure patterns introduced by LLMs, and apply secure coding practices across AI-assisted workflows.

Traditional training focuses on known vulnerabilities, while AI security training prepares developers for emerging, dynamic risks.

How does Secure Code Warrior support AI security training?

Secure Code Warrior builds developer capability through hands-on learning across AI Challenges, Missions, Coding Labs, and Quests.

Developers practice securing AI-generated code in real-world scenarios, helping reduce vulnerabilities at the source and support AI Software Governance.

What AI technologies and frameworks are covered?

Secure Code Warrior provides learning across modern AI technologies and frameworks, including:

AI agents and protocols (MCP, A2A, ACP)
Python LangChain
Python MCP
Terraform AWS (Bedrock)
Typescript LangChain
LLM security concepts and design patterns

This ensures developers are prepared to secure real-world AI systems and workflows.

How can organizations govern AI-assisted development and reduce risk?

Organizations govern AI-assisted development by gaining visibility into how AI is used, applying governance policies within development workflows, and strengthening developer capability.

Secure Code Warrior supports this through Trust Agent AI, which provides visibility into AI usage across development workflows, correlates risk at the commit level, and enforces security policies. Combined with hands-on learning, this helps organizations reduce risk before vulnerabilities reach production.

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