Sentin-AI scans the data you actually have — databases, cloud storage, business applications — and classifies the personal data inside, so you know exactly what lives where. Discovery first; everything else follows.
Import data assets from your systems of record — databases, warehouses, cloud accounts — so what we scan reflects reality, not a spreadsheet from last year.
Shipped: automated asset onboardingLightweight agents connect directly to your systems and inspect real records — finding personal data in places nobody documented and storage nobody remembers creating.
Shipped: 62 catalogued sources — cloud stores, databases, endpoints and business applications. Of the 40 cloud connectors, 28 are proven against provider emulators or the real engine and 12 are not yet; the 19 agent-based sources have no evidence register yet, and we say so rather than counting them as provenAn AI classification engine labels findings — contact, financial, biometric, government identifiers — with sensitivity levels and risk flags per asset.
Shipped: automated classification with role-based access controlScan results can write into the Consent Tree inventory — the same scan store the platform's own agents feed — and every finding carries remediation status in the Sentin-AI console, so discovery ends in fixes, not another PDF. A critical finding also opens a real compliance task on the Consent Tree side, not only in Sentin-AI's own console.
Built: Consent Tree inventory sync + compliance-task creation on critical findings (enabled per deployment) + in-console remediation trackingOur scanning agents enumerate and scan data stores across AWS, GCP and Azure — from databases to cloud storage to messaging queues — plus the on-prem systems behind your firewall.
$ sentinai scan --provider aws,gcp,azure --deep → enumerating stores… 127 found across 3 clouds → sampling & classifying… 41,206 objects inspected FINDINGS pii.contact 9 stores (email, phone) pii.financial 3 stores (PAN, account no.) pii.identifiers 5 stores (Aadhaar-pattern ⚠ HIGH) → report written · findings synced to inventory
Before shipping, we pointed the scanner at our own lead-capture database. It flagged personal data we were holding without a documented purpose — a real finding, in our own backyard, of exactly the kind the DPDP Act penalises. We fixed it, kept the receipt, and kept the habit.
That’s the standard this product is held to: if it can’t find our mistakes, it has no business looking for yours.
A first scan takes minutes and reads like a revelation. Bring a database; we’ll bring the scanner.
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