Master AI Security with Hands-On Training

Comprehensive course covering OWASP Top 10 LLM vulnerabilities, attack techniques, and defensive strategies. Learn through interactive labs and real-world scenarios.

Why Choose Our AI Security Training?

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Comprehensive Curriculum

8 modules covering all OWASP Top 10 LLM vulnerabilities with practical examples

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Hands-On Labs

18 interactive labs to practice attack and defense techniques in safe environments

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Progress Tracking

Monitor your learning progress and earn certificates upon completion

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Real-World Scenarios

Learn from actual security incidents and current threat landscapes

8
Core Modules
18
Interactive Labs
100+
Attack Techniques
24/7
Access Available

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Enrolled Courses

3

Completed Labs

5

Progress

65%

Certificates

1

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OWASP Top 10: LLM01 - Prompt Injection

Learn to identify and defend against prompt injection attacks

OWASP Top 10: LLM02 - Insecure Output Handling

Understand how to safely handle LLM outputs

Available Labs

Lab 1: Basic Prompt Injection

Practice basic prompt injection techniques

Beginner

Lab 2: Output Manipulation

Learn output manipulation techniques

Intermediate

AI Security Courses

Master AI security through our comprehensive curriculum

Beginner 4 hours

LLM01 - Prompt Injection

Learn to identify and defend against prompt injection attacks that manipulate AI systems to ignore their original instructions.

Direct Prompt Injection Indirect Prompt Injection Defense Mechanisms
Beginner 3 hours

LLM02 - Insecure Output Handling

Understand how to safely handle LLM outputs and prevent security vulnerabilities from untrusted AI responses.

Output Validation XSS Prevention Safe Parsing
Intermediate 5 hours

LLM03 - Training Data Poisoning

Explore how attackers can poison training data to manipulate AI behavior and learn detection and prevention strategies.

Data Integrity Poisoning Detection Data Validation
Intermediate 4 hours

LLM04 - Model DoS Attacks

Learn about denial-of-service attacks targeting AI models and how to implement robust rate limiting and resource management.

Resource Management Rate Limiting Performance Optimization
Advanced 6 hours

LLM05 - Supply Chain Vulnerabilities

Master the identification and mitigation of supply chain vulnerabilities in AI model deployment and distribution.

Model Verification Dependency Analysis Secure Distribution
Advanced 5 hours

LLM06 - Sensitive Information Disclosure

Understand how LLMs can inadvertently disclose sensitive information and learn privacy-preserving techniques.

Data Privacy Information Leakage Privacy Controls
Advanced 4 hours

LLM07 - Insecure Plugin Design

Explore security vulnerabilities in LLM plugins and learn to design secure plugin architectures.

Plugin Security API Design Access Control
Advanced 3 hours

LLM08 - Excessive Agency

Learn to prevent LLMs from taking excessive autonomous actions and implement proper governance controls.

Action Control Governance Audit Trails

Interactive Security Labs

Practice your skills with hands-on security exercises

Beginner 30 min

Lab 1: Basic Prompt Injection

Learn the fundamentals of prompt injection by manipulating a simple AI chatbot to ignore its instructions.

Learning Objectives:

  • Understand direct prompt injection
  • Practice injection techniques
  • Identify vulnerable patterns
Beginner 45 min

Lab 2: Output Manipulation

Practice manipulating AI outputs to generate malicious content or bypass content filters.

Learning Objectives:

  • Explore output manipulation techniques
  • Understand filter bypass methods
  • Implement output validation
Intermediate 60 min

Lab 3: Data Poisoning Detection

Learn to identify and analyze potentially poisoned training data in AI datasets.

Learning Objectives:

  • Analyze training data integrity
  • Detect poisoning patterns
  • Implement data validation
Intermediate 45 min

Lab 4: Model DoS Simulation

Simulate denial-of-service attacks on AI models and implement protective measures.

Learning Objectives:

  • Understand DoS attack vectors
  • Implement rate limiting
  • Monitor resource usage
Advanced 90 min

Lab 5: Supply Chain Attack

Analyze and simulate supply chain attacks on AI model distribution and deployment.

Learning Objectives:

  • Identify supply chain vulnerabilities
  • Implement model verification
  • Secure distribution channels
Advanced 75 min

Lab 6: Privacy Attack Simulation

Simulate privacy attacks to understand information leakage risks and implement protection mechanisms.

Learning Objectives:

  • Understand privacy attack vectors
  • Implement privacy controls
  • Design audit mechanisms

About AI Security Training

Our Mission

We provide comprehensive training on AI security vulnerabilities, focusing on the OWASP Top 10 LLM vulnerabilities. Our goal is to equip security professionals, developers, and organizations with the knowledge and skills needed to secure AI systems against emerging threats.

What You'll Learn

Prompt Injection Attacks

Master techniques for identifying and defending against prompt injection vulnerabilities

Data Security

Understand training data poisoning and implement robust data validation

Privacy Protection

Learn to prevent information disclosure and implement privacy controls

Supply Chain Security

Secure AI model distribution and deployment pipelines

Features

  • โœ… 8 comprehensive modules covering OWASP Top 10 LLM vulnerabilities
  • โœ… 18 hands-on labs with realistic scenarios
  • โœ… Progress tracking and certification
  • โœ… Interactive code environments
  • โœ… Real-world case studies
  • โœ… Regular content updates