AI/LLM Penetration Testing
Advanced security assessment of AI systems and Large Language Models, testing for prompt injection, data leakage, and emerging vulnerabilities specific to machine learning applications.
Service Overview
About This Service
As organizations rapidly adopt AI and Large Language Models (LLMs), new security risks emerge. Our AI/LLM Penetration Testing service is designed to test the robustness of your AI implementations. We use cutting-edge techniques to test for prompt injection, model inversion, and membership inference attacks, ensuring your AI systems remain secure and trustworthy.
Key Features & Benefits
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Prompt Injection: Testing if the model can be manipulated into bypassing guardrails and performing unauthorized actions. -
Data Leakage: Ensuring the model doesn't reveal sensitive training data or PII in its responses. -
Model Inversion: Testing if attackers can reconstruct sensitive inputs or training examples from the model's outputs. -
Adversarial Attacks: Evaluating the model's robustness against deceptive inputs designed to cause classification errors. -
Supply Chain Security: Assessing the security of third-party models and libraries used in your AI stack.