Achieve continuous regulatory readiness without slowing down innovation.
Safeguard sensitive information, automate global privacy workflows, and deliver auditable compliance for GDPR, CCPA, HIPAA, and evolving AI regulations across your entire data landscape.
The Strategic Imperative
Compliance is moving at the speed of AI
As data environments grow increasingly complex and global privacy regulations multiply, relying on manual, retroactive compliance checks is a major liability. Modern data compliance requires a proactive approach. To innovate safely, organizations must embed automated guardrails directly into their data pipelines—ensuring that data is not only utilized efficiently but protected continuously.
Core Capabilities
Four pillars of automated compliance
Map and discover sensitive data
Gain complete visibility into your data estate by automatically identifying and classifying sensitive, personally identifiable information (PII).
Automated Data Discovery
Continuously scan across cloud warehouses, data lakes, and legacy systems to locate hidden sensitive data.
Intelligent PII Classification
Utilize machine learning to automatically tag data assets based on regulatory frameworks (e.g., GDPR, CCPA, PCI-DSS).
Unified Inventory
Maintain a dynamic, real-time registry of all data assets containing sensitive customer or corporate information.
Automate policy enforcement and retention
Replace manual, high-cost verification processes with real-time, automated policy checks to mitigate unauthorized data exposure.
Continuous Monitoring
Automatically validate data movement and storage conditions against internal and global compliance mandates.
Instant Risk Flagging
Detect policy violations, unauthorized access attempts, or non-compliant data usage the moment they occur.
Lifecycle Automation
Enforce precise data retention and disposal schedules systematically across your entire infrastructure to reduce legal liability.
End-to-end data lineage and auditable tracking
Trace the complete lifecycle of your data to provide definitive evidence of compliance to internal teams and external regulators.
Visual Lineage Maps
Automatically trace how sensitive data flows from ingestion points to final reporting layers and AI models.
Immutable Audit Trails
Maintain a pristine, time-stamped history of data access, transformations, and policy updates.
Streamlined Audit Reporting
Generate comprehensive compliance reports instantly, eliminating months of manual preparation for regulatory reviews.
Mitigate risks in AI training data
Extend your compliance framework to support responsible AI initiatives by governing the datasets feeding your language models.
Bias and PII Scrubbing
Automatically audit and clean training data to ensure it complies with emerging AI safety regulations and copyright laws.
Ethical Data Sourcing
Verify and document data provenance to guarantee that models are trained only on legally consented and approved assets.
Flexible & Embedded Operations
Built to operate everywhere your data lives
Scale with global regulatory templates
Deploy pre-built, out-of-the-box compliance templates tailored to regional and industry standards, drastically accelerating your time-to-compliance for new market expansions.
Frictionless incident management
Proactively manage data compliance issues with an integrated data helpdesk. Submit, track, and resolve policy exceptions automatically using intelligent incident workflows that alert data protection officers (DPOs) in real time.
Business Value & ROI
From compliance burden to strategic advantage
| Compliance Challenge | The Automation Solution | Strategic Impact |
|---|---|---|
| Manual Audits & Prep Time | Automated Lineage & Reporting | Audit Readiness in Minutes, Not Months |
| Global Regulatory Fines | Continuous Policy Enforcement | Zero-Violation Privacy Safeguards |
| Unprotected AI Pipelines | AI Training Data Governance | Secure, Compliant Model Deployment |
| Data Proliferation & Liability | Automated Retention Controls | Reduced Storage Costs & Legal Risk |
FAQ
Frequently Asked Questions
What is the difference between data compliance and data security?
Data compliance focuses on meeting legal, regulatory, and contractual obligations regarding how data is collected, handled, stored, and deleted (e.g., GDPR, CCPA). Data security involves the technical measures, tools, and protocols used to defend that data from unauthorized access, breaches, and cyber threats (e.g., encryption, firewalls).
How does this solution help with "Right to Be Forgotten" (DSAR) requests?
Because the platform provides end-to-end data lineage and automated PII tagging, you can instantly locate every instance of a specific user's data across all siloed systems. This allows your team to fulfill Data Subject Access Requests (DSARs) and deletion demands in minutes instead of weeks.
The Road to Data Confidence™ Starts Here
