In today’s world, organisations operate in extremely digital complex ecosystems, where data is constantly created, replicated, transformed and shared across on-premise systems, cloud platforms, third party services and AI models. Even as directives like GDPR, CCPA and India’s Digital Personal Data Protection Act (DPDPA) push for accountability and transparency, there are a number of organizations that continue to treat compliance as a paperwork initiative. This “checklist” approach doesn’t consider or explain how data actually travels throughout the enterprise over time, leaving organizations vulnerable to compliance shortcomings, operational risk, and erosion of trust.
FaceOff fills this gap by emphasizing dynamic, live data visibility rather than static artifacts of compliance allowing organizations to see not only where data is, but how it is used, shared and governed.
The tenets of DPDPA are a good fit with FaceOff’s model of data lifecycle control. Laws such as DPDPA focus on legitimate use, purpose limitation, transparency, and accountability— all of which are difficult to enforce without a clear Compliance with Personal Data Protection Act (DPDPA) and Global Privacy Laws .
FaceOff provides organizations with a comprehensive view of how personal and sensitive data flows across systems. By leveraging AI-powered data mapping and lineage, FaceOff enables enterprises to operationalize privacy principles—making compliance measurable, auditable, and scalable rather than manual and reactive.
The platform allows businesses to comply simultaneously with the DPDPA and multiple global privacy regulations by delivering continuous, real-time visibility into data usage without adding complexity to governance processes. This approach transforms regulatory compliance from a static obligation into an automated, intelligence-driven capability.
Data Lineage in support of Privacy and Control
According to Dr. Deepak Kumar Sahu, CEO and Founder of FaceOff Technologies, the true quandary of privacy is not just housing data, but knowing what data organizations have and where it came from and went. The lack of data lineage means that organizations cannot confidently comply with data access requests, ensure the right to be forgotten or demonstrate that personal information has been used as intended. You cannot control what you can’t see.
Data lineage provides a clear and traceable path of data movement, helping organizations prove accountability and maintain ongoing control over personal data.
Data Lineage in Action
Data lineage offers visibility along the entire data path by answering fundamental questions: where data originates, how it is altered through transformations and calculations, where it is used, who uses it and why. It stitches source systems, ETL pipelines, databases, analytics platforms, dashboards, API’s and AI models into a single cohesive view.
Put another way, data lineage helps answer the business question that happens to be the most important.
See What’s Next in Tech With the Fast Forward Newsletter
Tweets From @varindiamag
Nothing to see here - yet
When they Tweet, their Tweets will show up here.
