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Matteo Meucci d19e9da901 Revise testing methodology for training data exposure
Updated the testing methodology for training data exposure vulnerabilities in AI systems, detailing the setup and execution of tests for direct storage access and inference-based data extraction.
2025-11-05 19:37:28 +01:00
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2025-06-18 11:07:05 +02:00

OWASP AI Testing Guide Table of Contents

1. Introduction

2. Threat Modeling AI Systems

3. OWASP AI Testing Guide Framework

Test ID Test Name & Link
AITG-APP-01 Testing for Prompt Injection
AITG-APP-02 Testing for Indirect Prompt Injection
AITG-APP-03 Testing for Sensitive Data Leak
AITG-APP-04 Testing for Input Leakage
AITG-APP-05 Testing for Unsafe Outputs
AITG-APP-06 Testing for Agentic Behavior Limits
AITG-APP-07 Testing for Prompt Disclosure
AITG-APP-08 Testing for Embedding Manipulation
AITG-APP-09 Testing for Model Extraction
AITG-APP-10 Testing for Content Bias
AITG-APP-11 Testing for Hallucinations
AITG-APP-12 Testing for Toxic Output
AITG-APP-13 Testing for Over-Reliance on AI
AITG-APP-14 Testing for Explainability and Interpretability
Test ID Test Name & Link
AITG-MOD-01 Testing for Evasion Attacks
AITG-MOD-02 Testing for Runtime Model Poisoning
AITG-MOD-03 Testing for Poisoned Training Sets
AITG-MOD-04 Testing for Membership Inference
AITG-MOD-05 Testing for Inversion Attacks
AITG-MOD-06 Testing for Robustness to New Data
AITG-MOD-07 Testing for Goal Alignment

Test ID Test Name & Link
AITG-INF-01 Testing for Supply Chain Tampering
AITG-INF-02 Testing for Resource Exhaustion
AITG-INF-03 Testing for Plugin Boundary Violations
AITG-INF-04 Testing for Capability Misuse
AITG-INF-05 Testing for Fine-tuning Poisoning
AITG-INF-06 Testing for Dev-Time Model Theft

Test ID Test Name & Link
AITG-DAT-01 Testing for Training Data Exposure
AITG-DAT-02 Testing for Runtime Exfiltration
AITG-DAT-03 Testing for Dataset Diversity & Coverage
AITG-DAT-04 Testing for Harmful Content in Data
AITG-DAT-05 Testing for Data Minimization & Consent

4. Chapter 4: Domain Specific Testing

References