Automated Testing Suite

Automated AI Security Testing

Comprehensive automated testing suite for AI systems. Detect vulnerabilities, test defenses, and ensure robust security.

Test Categories

Prompt Injection Tests

Automated testing for prompt injection vulnerabilities with 500+ attack patterns and bypass techniques.

Data Poisoning Detection

Test model resilience against training data poisoning and backdoor attacks with automated validation.

Model Extraction Tests

Evaluate protection against model extraction attacks and intellectual property theft attempts.

Adversarial Robustness

Test model resilience against adversarial examples and evasion attacks across multiple domains.

Privacy Leakage Tests

Automated detection of training data leakage, PII exposure, and membership inference vulnerabilities.

Agent Security Tests

Comprehensive testing for autonomous agent security including tool misuse and policy violations.

Key Features

Continuous Testing

Integrate with CI/CD pipelines for automated security testing

Schedule regular security scans and vulnerability assessments

Automated regression testing for security fixes

Comprehensive Reporting

Detailed vulnerability reports with severity ratings

Remediation recommendations and code examples

Export reports in multiple formats (PDF, JSON, HTML)

Customizable Test Suites

Create custom test cases for your specific use cases

Configure test parameters and thresholds

Extend with custom plugins and test modules

Quick Start Guide

Installation & Setup

1. Install the Testing Suite

pip install ai-security-testing

2. Initialize Configuration

ai-security-test init --config my-config.yaml

3. Run Your First Test

ai-security-test run --suite prompt-injection --target https://api.example.com
Python API Usage
from ai_security_testing import SecurityTester

# Initialize tester
tester = SecurityTester(
    target_model="gpt-4",
    api_endpoint="https://api.openai.com/v1/chat/completions"
)

# Run comprehensive test suite
results = tester.run_all_tests(
    test_suites=[
        "prompt_injection",
        "data_leakage",
        "adversarial_robustness"
    ],
    severity_threshold="medium"
)

# Generate report
tester.generate_report(
    results=results,
    output_format="html",
    output_path="security_report.html"
)
CI/CD Integration

Example GitHub Actions workflow for automated security testing:

name: AI Security Tests
on: [push, pull_request]

jobs:
  security-test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2
      - name: Run AI Security Tests
        run: |
          pip install ai-security-testing
          ai-security-test run --all --fail-on-high

Download Testing Suite

Start automated security testing for your AI systems today.

Related Resources

Penetration Testing
Manual testing guide
Bug Bounty Tools
Tools for bug hunters
Detection Tools
Threat detection suite