Compliance mapping connects external obligations to the way a product is designed, built, operated, and evidenced. It prevents teams from treating security and privacy as a collection of documents detached from the actual system. This guide outlines a practical mapping approach for SaaS and AI products. It is technical guidance, not legal advice.
Begin with scope and applicability
Identify the product, legal entities, customers, regions, data categories, processing purposes, hosting locations, vendors, and contractual commitments in scope. Requirements may come from regulation, industry standards, customer agreements, or internal policy.
GDPR and SOC 2 are not interchangeable. GDPR concerns personal-data rights and processing obligations, while SOC 2 is an assurance framework for controls related to trust-service criteria.
Map obligations to system components
Identity, authentication, authorization, privileged access, and joiner-mover-leaver processes
Data collection, classification, residency, retention, deletion, export, and consent
Encryption, secrets, key management, backups, recovery, and secure configuration
Application development, code review, testing, vulnerability management, and change control
Monitoring, incident response, vendor management, risk review, and audit evidence
Add AI-specific controls
AI products introduce model providers, training or retrieval data, prompts, generated output, evaluations, human review, and potentially automated decisions. Document what data leaves the application boundary and whether providers retain or train on it.
Risk controls should cover data leakage, prompt injection, unauthorized tool use, harmful or unsupported output, bias, model changes, and traceability. Higher-impact use cases require stronger review and evidence.
Create evidence as part of normal operations
Access reviews, deployment approvals, test results, and security findings
Data inventories, processing records, retention jobs, and deletion evidence
Vendor assessments, contracts, subprocessors, and service monitoring
Incident exercises, recovery tests, backups, and corrective actions
AI evaluations, model versions, prompt changes, and human-review records
Turn the map into an engineering backlog
For each requirement, assign a control owner, technical implementation, policy reference, evidence source, review frequency, and remediation status. This creates a living compliance system that can evolve with the product.
Informityx can support secure SaaS architecture, custom software, cloud controls, data protection, and governed AI delivery. See our technology services.