Ebod-917 [exclusive] Page

Feature Suggestion: Enhanced Data Encryption and Access Control

3️⃣ What Exactly Was EBOD‑917?

• Ticket ID: EBOD‑917 (E‑BOD = Enterprise Backend Operations & Development)
• Severity: P2 (Customer‑Facing, Service‑Degrading)
• Component: UserDirectoryService – responsible for fetching user profile data via a paginated REST endpoint.

Overview

Given the nature of many technical projects and standards, a universally beneficial feature could be the integration of enhanced data encryption and access control. This feature would ensure that any data handled by the system or process outlined in EBOD-917 is protected against unauthorized access and breaches.

Owners & contacts

• Engineering lead: [assign name/email]
• QA lead: [assign name/email]
• Product manager: [assign name/email]

Immediate risks

• API v2 schema delay — may block final integration and testing.
• Edge-case behavior under high load not yet validated.

Key Components:

1. Advanced Encryption Protocol: Implement a robust encryption protocol (like AES-256) for all data at rest and in transit. This ensures that even if data is intercepted or accessed by unauthorized parties, it will be unreadable without the decryption key. EBOD-917

2. Multi-Factor Authentication (MFA): Introduce an MFA system for users accessing the system. This adds an additional layer of security, making it significantly harder for unauthorized users to gain access. Overview Given the nature of many technical projects

3. Role-Based Access Control (RBAC): Implement a RBAC system to ensure that users can only access data and perform actions that are relevant to their role. This minimizes the risk of data exposure and accidental modifications. EBOD-917

4. Audit Logs and Monitoring: Provide detailed audit logs of all access and modifications to data. Regular monitoring of these logs can help in early detection of suspicious activities.

5. Data Classification: Allow for the classification of data based on sensitivity. This can help in applying appropriate security measures based on the data's sensitivity.