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AI SECURITY TRAINING
AI Red Teaming & AI Security Testing
Learn how to test, break and secure AI systems through practical LLM security testing, AI red teaming, vulnerability discovery and continuous AI security testing.
AI SECURITY TESTING // LIVE LAB
root@ai-redteam:~$ initialize_testing
[+] Loading LLM target...
[+] Loading vulnerability framework...
[!] Testing attack surface...
AI
SCAN
SCAN
[!] Prompt Injection
detected
[!] Data Leakage
testing...
[*] Robustness
evaluation...
[*] Security Report
generating...
11
Modules
10H
Course Content
14H+
Total Learning
11
Comprehensive Modules
~14 Hours
Total Learning
Hands-On
AI Testing
CI/CD
Continuous AI Testing
AI SECURITY MISSION CONTROL
Know What You'll Learn & Test.
Move from AI testing fundamentals to vulnerability discovery, red teaming, evaluation, performance testing and continuous AI security workflows.
COURSE_PROFILE :: AI_SECURITY_TESTING
Built for AI Security Practitioners
A practical learning path for professionals working with AI systems, LLM applications, testing and cybersecurity.
Designed For
AI Security Professionals
Cybersecurity Professionals
Red Teamers
Security Testers
Developers
QA Professionals
AI/ML Engineers
LLM Developers
11
Modules
~14H
Total Learning
10H
Course Content
3.2H
Doubt Clearing
What You'll Learn
TESTING TRACK
01 / DISCOVER
AI & LLM Security Testing
Test AI and LLM applications for security, reliability and robustness.
02 / ATTACK
Prompt Injection & Jailbreaks
Identify prompt injection, system prompt leakage and jailbreak vulnerabilities.
03 / EVALUATE
Robustness & AI Safety
Evaluate robustness, hallucinations, bias, fairness and AI reliability.
04 / SCAN
Automated Vulnerability Testing
Scan AI systems using open-source security testing and evaluation tools.
05 / STRESS
Performance & Load Testing
Test latency, throughput, token usage, cost and AI resilience.
06 / AUTOMATE
CI/CD & Continuous Testing
Integrate AI security testing into CI/CD pipelines and regression workflows.
Mission:
Test AI systems. Discover vulnerabilities.
Evaluate risks. Build continuous security testing workflows.
STATUS :: READY_TO_TEST
AI RED TEAMING ROADMAP
From AI Basics to Security Testing
Follow an 11-module progression covering AI testing, vulnerability frameworks, red teaming, scanning, evaluation, performance, automation and reporting.
MODULE 00
1.5 HOURS
AI Testing Fundamentals & Prerequisites
Build the foundation for AI security testing, environments, APIs, models and basic testing.
AI Testing
LLMs
RAG
Agents
Python
● Environment Setup + Basic Test
00
MODULE 01
1.5 HOURS
AI Risk & Vulnerability Frameworks
Understand major AI security risks and create a structured testing taxonomy.
OWASP LLM
MITRE ATLAS
Prompt Injection
Data Disclosure
● Map LLM Risks
01
MODULE 02
2 HOURS
Functional & Robustness Testing
Test edge cases, consistency, perturbations and adversarial robustness.
Edge Cases
Regression
TextAttack
ART
● Robustness Testing
02
MODULE 03
2 HOURS
Prompt Injection & Jailbreak Testing
Explore direct and indirect injection, leakage, multi-turn escalation and test design.
Prompt Injection
Jailbreaks
Promptfoo
Rebuff
● Sandbox LLM Testing
03
MODULE 04
2 HOURS
Garak: LLM Vulnerability Scanning
Learn Garak architecture, scanning, probes, reports and false-positive filtering.
Garak
Probes
Data Leakage
Reports
● Run LLM Security Scan
04
MODULE 05
2.5 HOURS
Free & Open-Source AI Testing Tools
Explore red-teaming frameworks, guardrails, model evaluation and data-quality tools.
PyRIT
Promptfoo
Giskard
DeepEval
Ragas
● Compare Testing Findings
05
MODULE 06
2 HOURS
Bias, Fairness & Hallucination Testing
Evaluate bias, fairness, factual consistency, groundedness and AI reliability.
Bias
Fairness
Hallucination
HELM
Ragas
● Build Hallucination Tests
06
MODULE 07
1.5 HOURS
Data Privacy & Model Extraction Testing
Explore PII extraction, data leakage, memorization and model extraction risks.
PII
Data Leakage
Membership Inference
● Build Leakage Test Set
07
MODULE 08
1.5 HOURS
Performance, Cost & Load Testing
Measure latency, throughput, token usage, cost and AI resilience under load.
Latency
Throughput
Locust
Artillery
● Load Test Model API
08
MODULE 09
1.5 HOURS
CI/CD Integration & Continuous AI Testing
Build shift-left testing workflows with regression detection and security alerts.
Promptfoo CI
Garak CI
GitHub Actions
Monitoring
● Build CI Pipeline
09
MODULE 10
1.5 HOURS
Reporting & Building an AI Test Program
Turn technical findings into professional security reports, remediation and retesting workflows.
Risk Scoring
Evidence
Remediation
Retesting
● Build AI Test Report
10
01 Discover
→
02 Map Risks
→
03 Attack
→
04 Scan
→
05 Evaluate
→
06 Automate
→
07 Report
AI SECURITY TOOLCHAIN
Build Your AI Testing Stack
Work across open-source red-teaming, evaluation, guardrail, performance and continuous testing tools covered throughout the course.
Tools Covered
12+ TOOLS
Garak
LLM Vulnerability Scanning
Promptfoo
Prompt & Security Testing
Microsoft PyRIT
AI Red Teaming
Giskard
AI Model Testing
DeepEval
LLM Evaluation
Ragas
RAG Evaluation
NeMo Guardrails
Guardrails
Guardrails AI
AI Validation
Ollama
Local Models
GitHub Actions
CI/CD Testing
Locust
Load Testing
Artillery
Performance Testing
AI Security Testing Workflow
TEST_PIPELINE
01
Define the AI Test Surface
Understand the model, application, interfaces, data and testing scope.
02
Map AI Risks
Organize security, robustness, safety, privacy and reliability testing areas.
03
Run Security & Robustness Tests
Evaluate prompts, inputs, outputs, vulnerabilities and model behavior.
04
Automate & Evaluate
Use testing frameworks and evaluation tools to support repeatable testing workflows.
05
Report, Remediate & Retest
Document evidence, prioritize findings, recommend remediation and perform retesting.
Hands-On Testing
Practical AI Security Exercises
Open-Source Stack
Tools Used Across The Course
Continuous Testing
CI/CD & AI Security Workflows
AI SECURITY TRAINING // READY
Test AI. Find Vulnerabilities. Build More Secure AI.
Learn practical techniques for AI security testing, LLM red teaming, vulnerability discovery, automated testing and AI security reporting.
11
Modules
10 H
Course Content
~3.2 H
Doubt Clearing
~14 H
Total Learning
AI RED TEAMING
•
LLM SECURITY
•
VULNERABILITY TESTING
•
AI SECURITY REPORTING
Start Your AI Security Journey
Build practical skills to test AI systems, discover security weaknesses and develop repeatable AI security testing workflows.
ENROLL NOW →
AI Red Teaming & AI Security Testing