Pentesting Guide

AI Penetration Testing

Comprehensive guide to penetration testing AI systems and machine learning models. Learn methodologies, tools, and techniques for effective AI security assessments.

Pentesting Methodology

Phase 1: Reconnaissance & Information Gathering

Identify AI Components

Map all AI/ML components, APIs, models, and data pipelines in the target system

Technology Stack Analysis

Identify frameworks, libraries, cloud providers, and model architectures in use

Attack Surface Mapping

Document all input vectors, API endpoints, and potential attack surfaces

Phase 2: Vulnerability Assessment

Prompt Injection Testing

Test for direct/indirect prompt injection, jailbreaks, and context manipulation

Model Security Testing

Assess model extraction, inversion, and membership inference vulnerabilities

Data Security Assessment

Test for training data poisoning, PII leakage, and data exfiltration risks

Adversarial Robustness

Generate adversarial examples and test model robustness against evasion attacks

Phase 3: Exploitation

Develop Proof of Concepts

Create working exploits demonstrating the impact of discovered vulnerabilities

Chain Vulnerabilities

Combine multiple vulnerabilities to demonstrate realistic attack scenarios

Impact Assessment

Document business impact, data exposure, and potential consequences

Phase 4: Reporting & Remediation

Detailed Vulnerability Reports

Document findings with severity ratings, reproduction steps, and evidence

Remediation Recommendations

Provide specific, actionable recommendations for fixing vulnerabilities

Retest & Validation

Verify that remediation efforts effectively address identified vulnerabilities

Testing Categories

LLM Security Testing
  • • Prompt injection attacks
  • • Jailbreak techniques
  • • Context manipulation
  • • Output filtering bypass
  • • Training data extraction
Model Security Testing
  • • Model extraction attacks
  • • Model inversion
  • • Membership inference
  • • Backdoor detection
  • • Adversarial examples
Data Security Testing
  • • Training data poisoning
  • • PII leakage detection
  • • Data exfiltration
  • • Privacy violations
  • • Data integrity checks
Agent Security Testing
  • • Agent manipulation
  • • Tool misuse testing
  • • Policy violation attempts
  • • Multi-agent attacks
  • • Autonomous behavior testing
API Security Testing
  • • Authentication bypass
  • • Rate limiting evasion
  • • API abuse scenarios
  • • Input validation testing
  • • Authorization flaws
Infrastructure Testing
  • • Cloud misconfigurations
  • • Container security
  • • Network segmentation
  • • Access control testing
  • • Logging and monitoring

Essential Tools

Automated Testing Suite
Comprehensive security testing
Bug Bounty Tools
Vulnerability hunting toolkit
Agent Sandbox
Safe testing environment

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