🛡️ Sentinel: [HIGH] Secure global reward training data endpoint

[dcplatforms]

🛡️ Sentinel Security Update: L10 Token Engine Hardening

This PR addresses a security vulnerability where global reward training data was exposed via an unauthenticated endpoint. It also resolves critical Git merge conflicts that were present in the Token Engine's core logic.

🚨 Severity: HIGH

💡 Vulnerability: Unauthenticated Sensitive Endpoint & IDOR Risk

The /data/training/rewards endpoint allowed unauthenticated access to sensitive reward logs. Furthermore, even with authentication, it lacked authorization checks to prevent drivers (multi-tenant users) from exporting aggregate platform data.

🎯 Impact

Unauthorized actors or standard users could enumerate and export global reward data, leading to PII exposure (if unmasked) and disclosure of platform-wide economic performance and driver behavior patterns.

🔧 Fix

1. Authentication Integration: Added jsonwebtoken and implemented the authenticateToken middleware.
2. Zero-Trust Enforcement: The middleware is hardened to reject requests if JWT_SECRET is misconfigured, preventing fail-open scenarios.
3. Granular Authorization: The /data/training/rewards endpoint now explicitly rejects tokens containing a fleet_id, ensuring only administrative or system-level tokens can access global data.
4. Architectural Integrity: Resolved long-standing Git merge conflict markers in index.js and standardized the processBatchMint worker for robust reward processing.

✅ Verification

• Automated Tests: Added services/10-token-engine/tests/security_hardening.test.js covering authentication requirements, token validation, and the fleet_id restriction.
• Service Integrity: All 21 tests in the Token Engine suite passed (npm test).
• Manual Verification: Verified helmet headers and sentinel logic parity via verify_l10_v4_3_6.js.

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PR created automatically by Jules for task 8742709084467363009 started by @dcplatforms

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