Master AI Security with Comprehensive Training

Complete course covering OWASP Top 10 LLM vulnerabilities, AI Security Fundamentals, MITRE ATLAS framework, attack techniques, and defensive strategies. Learn through interactive labs, real-world scenarios, and detailed presentations.

Comprehensive Learning Experience

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Detailed Course Content

In-depth coverage of each vulnerability with real-world examples, attack techniques, and mitigation strategies

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Interactive Practice Labs

Hands-on labs with working dummy applications to practice each attack technique safely

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Architecture Diagrams

Visual diagrams explaining attack flows, system architecture, and defense strategies

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Expert Presentations

20 slides of AI Security Fundamentals and 42 slides of OWASP Top 10 LLM Vulnerabilities

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OWASP Top 10 Vulnerabilities
8
Interactive Practice Labs
62
Expert Slides
5
Complete Modules
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AI Security Fundamentals

Understanding the security landscape of AI/ML systems

8 hours Foundation
AI vs Traditional Security Threat Landscape 2025 AI Technology Stack Regulatory Framework
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Prompt Injection

Manipulation of LLM behavior through crafted inputs

2 hours Intermediate
Direct Injection Indirect Injection Attack Techniques Defense Strategies
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Insecure Output Handling

Processing LLM outputs without proper validation

2 hours Intermediate
XSS Attacks SQL Injection Code Execution Output Sanitization
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Training Data Poisoning

Corrupting training data to compromise models

2.5 hours Advanced
Label Poisoning Backdoor Attacks Detection Methods Prevention Strategies
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Model Denial of Service

Exhausting resources through crafted inputs

1.5 hours Intermediate
Resource Exhaustion Network Attacks Mitigation Strategies
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MITRE ATLAS Framework

Adversarial Threat Landscape for AI Systems

4 hours Advanced
Tactics & Techniques Threat Scenarios Detection Methods
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Prompt Injection Lab

Practice prompt injection attacks on a vulnerable chatbot

Beginner 30 min
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Output Handling Lab

Test SQL injection and XSS through vulnerable output processing

Intermediate 45 min
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Data Poisoning Lab

Upload and detect poisoned training datasets

Advanced 60 min
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Model DoS Lab

Simulate resource exhaustion attacks on AI models

Intermediate 30 min
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Module 1: AI Security Fundamentals

20 slides covering AI security landscape, threat modeling, and regulatory framework

20 slides Foundation level 8 hours
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Module 2: OWASP Top 10 LLM Vulnerabilities

42 slides with detailed coverage of each vulnerability, attack techniques, and mitigation strategies

42 slides Intermediate level 12 hours

Enrolled Courses

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Completed Labs

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Overall Progress

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Certificates

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Course Progress

Platform Overview

The AI Security Training Platform is a comprehensive educational resource designed to teach security professionals, developers, and AI practitioners about the unique security challenges in AI and machine learning systems.

Course Content

  • AI Security Fundamentals: Understanding the security landscape
  • OWASP Top 10 LLM Vulnerabilities: Complete coverage of each vulnerability
  • MITRE ATLAS Framework: Adversarial threat landscape analysis
  • Interactive Labs: Hands-on practice environments
  • Expert Presentations: 62 slides of comprehensive content

Learning Objectives

  • Understand AI security challenges and threat landscape
  • Identify and mitigate OWASP Top 10 LLM vulnerabilities
  • Implement security testing for AI applications
  • Apply defense-in-depth security strategies
  • Develop secure AI architectures

Target Audience

  • Security professionals and penetration testers
  • AI/ML developers and engineers
  • DevSecOps practitioners
  • Compliance and risk management professionals
  • Anyone interested in AI security