GDPR Compliance Data Platform
Transform regulatory burden into operational confidence — automate data privacy compliance from discovery through reporting.
The Challenge
Enterprise SaaS companies operating in or serving the European market face a labyrinth of GDPR requirements spanning data discovery, consent management, subject access rights, and breach notification — each carrying fines of up to
4% of global annual revenue for non-compliance. Most organizations rely on fragmented spreadsheets, manual data mapping, and ad-hoc processes that cannot scale across dozens of microservices and third-party integrations. Data Subject
Access Requests (DSARs) alone consume an average of 14 hours each to fulfill manually, with request volumes increasing 72% year over year. Without a unified platform, organizations cannot answer the fundamental question regulators ask first: "Where is the personal data, and who has access to it?"
Our Solution
MicrocosmWorks can build a comprehensive GDPR compliance platform that automates the entire data privacy lifecycle — from continuous data discovery and classification through consent management, DSAR fulfillment, and regulatory reporting. The platform uses NLP-powered classifiers to scan structured and unstructured data stores, automatically identifying and tagging personal data across databases, object storage, SaaS integrations, and legacy systems. A centralized consent orchestration engine tracks granular user preferences across all touchpoints, while an automated DSAR workflow reduces fulfillment from days to minutes. Breach notification workflows ensure the 72-hour reporting window is met with pre-drafted templates and supervisory authority submission integrations built in.
System Architecture
The platform operates as a multi-tenant SaaS application with a central compliance hub connecting to customer environments through secure API connectors and lightweight scanning agents. A data classification pipeline processes discovered assets through ML-based PII detection, sensitivity scoring, and lineage mapping, feeding results into a real-time data registry that stays current with every infrastructure change. The consent and DSAR engines expose embeddable widgets and REST APIs for customer-facing integration, backed by an immutable audit log that captures every compliance-relevant action for regulator review.
- Data Discovery Engine: Automated crawlers and connectors for 50+ data sources — RDS, S3, Snowflake, Salesforce, HubSpot — with ML-based PII
classification across 120+ personal data categories
- Consent Management Platform: Granular consent collection, storage, and propagation supporting cookie consent, marketing preferences, and
legitimate interest assessments with real-time sync
- DSAR Automation Workflow: End-to-end subject request handling including identity verification, cross-system data retrieval, third-party redaction,
and secure delivery portals with deadline tracking
- Retention Policy Engine: Configurable data lifecycle rules that automatically enforce deletion schedules, anonymization triggers, and
legal hold overrides across all connected data stores
- Compliance Dashboard & Audit Trail: Real-time compliance posture scoring, gap analysis, regulator-ready reports, and tamper-proof audit
logs with cryptographic verification
Technology Stack
| Layer | Technologies |
|---|---|
| Backend | Node.js, Python, GraphQL, Apache Airflow |
| AI / ML | spaCy, Presidio, Hugging Face NER models, TensorFlow Lite |
| Frontend | Next.js, React, Tailwind CSS, Recharts |
| Database | PostgreSQL, MongoDB, Amazon S3, Redis |
| Infrastructure | AWS (EU regions), Docker, Kubernetes, Terraform, CloudFlare |
Expected Impact
| Metric | Improvement | Detail |
|---|---|---|
| DSAR Fulfillment Time | 95% reduction | Automated workflows reduce fulfillment from 14 hours to under 40 minutes |
| Data Discovery Coverage | 98% accuracy | ML classifiers identify PII across structured and unstructured sources |
| Audit Preparation Time | 80% faster | Pre-generated reports and immutable audit trails eliminate manual gathering |
| Consent Sync Accuracy | 99.7% rate | Real-time propagation ensures all systems reflect user preferences in seconds |
| Regulatory Fine Risk | 70% reduction | Proactive monitoring and automated gap remediation lower penalty exposure |
Implementation Phases
1. Weeks 1-2: Data landscape assessment, connector deployment to primary data stores, and initial PII discovery scan
2. Weeks 3-5: Classification model tuning, data registry build-out, and consent management widget integration
3. Weeks 6-8: DSAR workflow automation, retention policy configuration, and breach notification workflow setup
4. Weeks 9-10: Dashboard customization, audit trail verification, and DPO training sessions
5. Weeks 11-12: Production deployment, compliance posture baseline, and ongoing monitoring activation
Related Services
- Cybersecurity — Data protection controls, encryption, and access governance
- Digital Consulting — GDPR strategy assessment and regulatory roadmap planning
- SaaS Development — Multi-tenant architecture and embeddable compliance widgets
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