DISCLAIMER: This report is for internal decision-support only. It is not legal advice, certification, or compliance validation. 1. Executive Summary The system presents moderate risk due to automated customer interaction and processing of user data through external AI services. Key concerns include potential data exposure, prompt manipulation, and limited control over third party dependencies. 2. System Overview Purpose: Provide automated customer support through a chatbot interface Users: Customers interacting with the system through web and mobile platforms Data: User messages personal information and conversation history Dependencies: External language model API and internal data storage systems 3. Risk Classification Risk 1: Prompt manipulation may lead to unintended responses or leakage of sensitive information Risk 2: Processing of user data introduces privacy and data protection risks Risk 3: Dependence on external AI services reduces control over system outputs and data handling 4. Hidden Risk Analysis The system may process sensitive inputs without adequate filtering leading to unintended data exposure. Lack of monitoring may allow incorrect or harmful responses to persist without detection. 5. Fundamental Rights Impact The system may impact user privacy and data protection due to handling of personal information. It may also affect fairness if responses are inconsistent across different users. 6. Cross-Framework Considerations EU AI Act: Limited NIST AI RMF: Requires stronger data governance monitoring and risk management controls ISO IEC 42001: Needs structured lifecycle management and accountability processes 7. Remediation Roadmap 30 days: Implement input validation and basic data protection controls 60 days: Introduce monitoring and logging of system responses 90 days: Establish governance framework and continuous risk assessment processes 8. Confidence Level and Data Gaps Confidence Score: 80 percent Data Gap 1: Lack of detail on data retention and processing policies Data Gap 2: Absence of information on monitoring controls and human oversight mechanisms