Atlas scans databases, cloud storage, file servers, email repositories, business applications and employee endpoints to build a complete inventory of where personal data resides across the organisation.

Structured data discovery identifies personal information stored in defined fields, such as database columns. Unstructured data discovery locates personal information inside documents, scanned files, emails and free-text content where no fixed format exists.

Yes. Atlas discovers personal data across cloud storage and cloud-hosted applications alongside on-premises systems, giving organisations a single view of data spread across hybrid environments.

A full scan examines an entire connected system for personal data. A delta scan checks only what has changed since the previous scan, allowing the inventory to stay current without repeatedly scanning unchanged data or impacting network performance.

Yes. Atlas supports scheduled scans so that discovery and classification run continuously in the background, ensuring the data inventory reflects newly created, moved or modified personal information without manual intervention.

Atlas includes built-in classifiers for Aadhaar numbers, PAN cards, passport details, driving licences, bank account numbers and other regulated identifiers commonly used in Indian compliance contexts.

Yes. Atlas uses OCR-based image scanning to identify personal data within scanned documents and ID copies, not only in machine-readable text.

Yes. In addition to built-in classifiers, organisations can configure custom detection rules for industry-specific identifiers or proprietary data formats, supported by machine learning-based confidence scoring to reduce false positives.

Yes. Custom and built-in classifiers use ML-based confidence scoring, which helps distinguish genuine matches of sensitive data from incidental text that resembles a regulated identifier.

Atlas extends discovery beyond servers and cloud systems to employee endpoints, scanning Windows and Linux devices for personal information, sensitive documents and unmanaged files without requiring an agent to be installed on every device.

Personal data frequently exists outside managed repositories, on laptops and local drives. Without endpoint visibility, organisations risk an incomplete data inventory and unaddressed compliance exposure.

Scan results from databases, applications, cloud systems and endpoints feed directly into a structured, continuously updated inventory, replacing manual spreadsheets and self-reported IT audits. The inventory can be exported to CSV or imported from third-party tools.

Data mapping shows how personal information moves through an organisation, including collection, storage, processing and sharing. Atlas builds a dynamic data map from discovery output, policy groups and system linkages, allowing privacy teams to trace data lineage and produce audit-ready data flow diagrams.

Yes. Data mapping in Atlas highlights how personal information flows between internal teams, applications and external parties, helping privacy teams identify sharing relationships that may not be formally documented.

Atlas assigns risk scores to repositories and processing activities based on data sensitivity, data volume, access patterns and regulatory context, helping organisations prioritise remediation based on actual business impact.

Yes. Atlas can issue real-time alerts to system owners and Data Protection Officer teams when violations are detected during scheduled scans, such as sensitive data appearing in an unauthorised location.

When an individual exercises rights under DPDPA, Atlas searches across all connected systems to locate that person's personal data quickly, reducing the manual effort needed to respond and lowering the risk of late or incomplete responses.

Consent management, breach notification and rights fulfilment all depend on first knowing what personal data exists and where it resides. Discovery provides the underlying visibility that other compliance processes are built on.

Atlas produces detailed scan reports, audit logs and consent correlation records, making it straightforward to demonstrate compliance posture to regulators, auditors and internal governance teams.

Because personal data is created, moved and modified continuously, Atlas runs scheduled delta scans to detect new, relocated or modified personal information across all connected systems, with notifications to alert the right teams as soon as new sensitive data appears where it should not.