The Surveilr Compliance Explorer Pattern is an innovative solution for organizations managing information controls, which are essential security, compliance, and operational measures aimed at reducing risk in information systems and data handling.
Key Components of the Surveilr Compliance Explorer Pattern
1. Stateless SQL Script (`stateless.sql`)
This script creates database views that define how control data is extracted from structured files like `uniform_resource.csv`. These views make it easy to retrieve and display specific compliance data on demand without needing to re-ingest the data each time.
CREATE VIEW IF NOT EXISTS compliance_controls AS
SELECT
control_id,
control_family,
description,
implementation_status,
evidence_path
FROM uniform_resource_csv
WHERE resource_type = 'control';
2. Stateful SQL Script (`stateful.sql`)
For users who need to cache data for quicker access, the `stateful.sql` script creates tables that store data from the views. This provides:
- Faster Queries: Pre-computed results for common access patterns
- Historical Snapshots: Point-in-time views of compliance status
- Offline Access: Work with data without reprocessing source files
3. Package Script (`package.sql.ts`)
This TypeScript script assembles the complete SQL package, ensuring proper execution order and dependency management.
How to Use the Compliance Explorer Pattern
1. **Ingest Your Data**: Use surveilr to capture compliance evidence
2. **Apply the Pattern**: Run the stateless.sql to create views
3. **Optional Caching**: Execute stateful.sql for performance optimization
4. **Query and Report**: Use SQL to generate compliance reports
Compliance Explorer's Advantage
- Centralized Evidence: All compliance data in one queryable location
- Real-Time Visibility: Instant access to current compliance status
- Audit-Ready: Full provenance and change tracking
- Flexible Reporting: SQL enables any report format
- Cross-Platform: Works with any SQL-compatible tool
The Compliance Explorer Pattern transforms how organizations manage regulatory requirements, turning complex compliance workflows into simple, queryable data operations.