Conducting a penetration test for generative AI (GenAI) systems is essential for companies looking to thoroughly assess the security of their AI implementations. GenAI encompasses a variety of models, including Large Language Models (LLMs), which are a significant subcategory. With the growing integration of GenAI into both internal processes and customer-facing applications, the security demands are intensifying. These systems often handle sensitive data and operate in contexts that require stringent security measures. An AI-focused penetration test can help identify potential vulnerabilities and security gaps early on, preventing damage and unauthorized access.
We closely align our approach with you as the customer, following established standards and frameworks such as the OWASP AI Security Framework, the OWASP Top 10 for LLMs, and the MITRE ATLAS Framework. Together, we define the scope and conditions of the testing, ensuring that your unique requirements and security objectives are at the forefront.
Execution
A GenAI-Pentest begins with defining the scope and conditions: You specify which generative model, functionalities, and data will be tested and under what conditions. The following questions are typically addressed:
- Which attack scenarios should be simulated?
- How much internal information about the model should be disclosed beforehand (White-, Grey-, or Blackbox Testing)?
- What ethical and legal guidelines need to be considered?
- When and where should the tests take place?
The duration of a Pentest depends on the complexity of the model and the desired depth of the assessment. Various techniques and tools can be used in GenAI-Pentests. Typical activities include:
- Testing for data leaks and unauthorized information disclosure
- Manipulating input data (Prompt Injection)
- Circumventing security measures and access restrictions
- Analyzing the model’s robustness against attacks
- Checking compliance with data protection regulations
Certain activities can have unwanted side effects or be associated with risks. Therefore, we agree in advance on which tests should be allowed.
Your Benefit
After conducting the GenAI-Pentest, we provide you with a report that explains the identified vulnerabilities, prioritizes them by criticality, and recommends measures for their mitigation. We ensure to offer not only spot solutions but also holistic recommendations. A penetration test of your generative AI system can also be beneficial in the early development phase. This way, design vulnerabilities can be identified and cost-effectively addressed early on.