Deployment scenariosWhat a rollout actually looks like.
Three representative situations and how the platform is typically applied to each — which scan mode, which detection mode, and what comes out the other end.
Banking & financial services
~240 databasesCore banking, CRM and analytics estates grown over a decade, with no inventory of where Aadhaar and PAN data actually sits.
Approach
- 1Quick scan across every host to find which ones hold PII at all
- 2Full scans only on the hosts that came back positive
- 3Hybrid detection to separate real PAN values from reference codes
What comes out
Table- and column-level map of personal data, findings mapped to DPDP Act Sec. 8(4) and 8(5), and a remediation list ordered by exposure.
Healthcare
NAS + file sharesScanned discharge summaries, insurance claims and consent forms accumulating on shared drives outside any retention policy.
Approach
- 1Unstructured discovery across NAS, Windows shares and archives
- 2LLM context analysis to tell patient identifiers from clinical reference numbers
- 3Scheduled rescans so the picture stays current
What comes out
A stale and high-risk file list, candidates for retention review, and evidence aligned to HIPAA and DPDP obligations.
IT services / GCC
Air-gappedAn offshore delivery centre processing client data under contract, where the client prohibits any data leaving the environment.
Approach
- 1Air-gapped deployment with the local model — no public internet access
- 2Read-only credentials against each client-segregated database
- 3Per-engagement scan scope and reporting
What comes out
An evidence pack per client engagement plus an access-rights review, with zero scan data leaving the perimeter.