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[SMC Lab] Harden tenant isolation for analytics and AI coaching data

Ensure strict user-level data isolation for analytics data and AI coaching logs in a multi-tenant SaaS system. This includes validating analytics queries, ensuring tenant-safe AI coaching run retrieval, adding tests for cross-tenant access, and reviewing Celery tasks for leakage risks to prevent cross-tenant data exposure.

Original Source

@@Cascapera | 0 pts | 3/1/2026

## Objective Ensure strict user-level data isolation for analytics data and AI coaching logs. ## Scope - Validate all analytics queries filter by authenticated user - Ensure AI coaching run retrieval is tenant-safe - Add tests for cross-tenant access attempts - Review Celery tasks for tenant leakage risks ## Acceptance Criteria - No cross-tenant data exposure - Automated tests validating isolation - Security review notes documented ## Why This Matters Multi-tenant SaaS systems must enforce strict isolation.

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