A Privacy Assessment is a qualitative evaluation of how your AI system handles personal, sensitive, or confidential data. It focuses on identifying potential privacy risks that could arise from the way data is collected, processed, stored, and output by the system.
Privacy risks can lead to regulatory violations, data exposure incidents, and loss of trust with your users. Our Privacy Assessment helps you ensure that your AI systems comply with data protection expectations and are designed to minimize unnecessary data access or disclosure.
AI systems often process large volumes of data, and that data frequently includes personal or sensitive information. The way an AI system uses this data - both in training and in production - can create privacy risks that are not always obvious.
A model might memorize personal data from its training set. A chatbot might expose sensitive information in its responses. An AI workflow might pass personal data through multiple systems without appropriate controls. Our Privacy Assessment is designed to catch these kinds of risks before they become real problems.
Our Privacy Assessment uses structured questions to evaluate your system's privacy posture across several areas:
The assessment is qualitative - your team provides answers about the system's data handling practices, and the platform identifies areas where privacy controls may be insufficient or where additional safeguards are needed.
Privacy risk is one of the six dimensions we evaluate during Risk Mapping. The Privacy Assessment goes deeper, providing a focused, detailed evaluation of your system's data handling. Results from the Privacy Assessment feed into your overall risk profile and can trigger Privacy Mitigation activities when gaps are identified.