# Optional: Notify admin for review if adminReviewEnabled: sendToReviewQueue(sensorID, description)
#### 3.2.5 Security and Privacy Considerations  
Because AccessiDashboard could deal with data that might be sensitive (especially in domains like healthcare [41] or smart home IoT [42]) and integrates with external AI services, security and privacy are paramount in the system design. On the security side, user authentication and role-based access control [43] are implemented via Laravel's built-in mechanisms. All user interactions with the dashboard (beyond public data viewing, if any) require a login. Sessions are managed securely, and we use Laravel's CSRF [44] protection for forms and state-changing requests to prevent cross-site request forgery. All communications are over SSL/TLS [45] to prevent eavesdropping on the data streams. We also log access to data such that any unauthorized access attempts can be detected. For privacy, particularly with respect to the AI integration, we follow a \"privacy by design\" approach. When the system sends data to the LLM service to generate a description, we ensure that no personally identifiable information (PII) [46] is included in the prompt. Since most sensor data are numeric and generic, this mainly involves stripping out or abstracting any labels that might contain names or specific locations. We also include in the user agreement or system documentation what kind of data might be sent to third-party AI services, to be transparent. Moreover, AccessiDashboard provides an audit log for AI usage. Every time a prompt is sent and a response received, it can be recorded (and shown to an admin if needed) to track what the AI was asked and what it replied. This is important for trust and verification. If an AI-generated description ever provided an incorrect or inappropriate statement, the maintainers can review the log and adjust the system (either by refining the prompt or correcting the output manually, and in some cases reporting issues to the AI service if needed). In compliance with regulations like GDPR, users have control over their data. In a scenario where users might input personal data (not the case for simple sensor dashboards, but if it extended to user-generated content), the system would allow them to delete or export their data. The AI-generated content, being derived from sensor data, is treated as part of the user's data stream and thus accorded the same protections. AccessiDashboard applies the key principles of the GDPR throughout its life-cycle, adopting \"privacy-by-design\" controls at both the software-architecture and organizational levels. Below, we summarize how each relevant principle is operationalized:  
* Lawfulness, Fairness, and Consent: Before using sensor data, organizations agree to a data-processing policy based on legitimate interest. If personal metadata is included (e.g., names in alerts), explicit opt-in is required. Users are clearly informed about what data is shared and why, supporting transparency. * Purpose Limitation and Data Minimization: Only essential fields, like timestamp, sensor ID, and readings, are used for AI processing. Any labels that could reveal identity or location are removed or generalized before being sent. * Anonymization and Pseudonymization: Identifiers are securely hashed, data is encrypted at rest, and AI-generated outputs are linked to anonymized keys for added protection. * Storage Limitation and Security: Sensor data is stored for up to 30 days, and AI outputs for up to 90 days before anonymization. All communications are encrypted, and access is logged to ensure accountability. * User Rights and Data Control: A \"My Data\" section allows users to view, export, or delete their data at any time, with deletions applied to both original records and related AI outputs. * Model Flexibility and Data Sovereignty: The system can switch between cloud-based and self-hosted AI models, allowing organizations to keep data processing within their jurisdiction. The system strives to be not only accessible and intelligent but also secure and respectful of user privacy.