Know where your
data lives.
Prove it's protected.
FaceOff Privacy maps personal data across every system you run, fulfils access requests within statutory deadlines, and keeps audit evidence ready. The AI never leaves your infrastructure.
Every system that holds personal data, in one view
- Discovered data
- 14.2M records
- Protection status
- encrypted at rest
Personal data isn't in one place.
It's everywhere.
Customer data moves constantly across databases, cloud storage, CRM leads, and email threads. FaceOff Privacy keeps every byte accounted for.
FaceOff Privacy scans and monitors all 30+ enterprise data sources in real time
Exposure: Unprotected database credentials
Unmapped data is your biggest financial risk.
DPDP Act 2023 §33 Schedule 1 sets fixed penalty caps of up to ₹250 crore per incident, with ₹200 crore for notification failures. GDPR Art. 83 reaches 4% of global annual turnover.
Statutory fine exposure model
DPDP Act 2023 Schedule 1 (Item 1): maximum statutory fine per incident for failing to take reasonable security safeguards.
72-hour breach notification window
SLA REVERSE COUNTDOWN LIVE
Mandatory incident reporting to the Data Protection Board and affected Data Principals under the DPDP Rules 2025, alongside CERT-In's 6-hour reporting guideline.
30-day DSAR fulfilment SLA
AUTOMATED ENGINE ACTIVE
FaceOff Privacy's multi-connector engine cuts manual search time from roughly 80 engineering hours to under an hour per request.
Privacy is a deadline, a penalty, and a promise.
The DPDP Act phases in on fixed dates. Breach notifications, DSAR responses, and consent infrastructure all carry statutory clocks, and the penalties for missing them are written into the schedule.
Phased enforcement countdown to Nov 14, 2026 and May 14, 2027
Mandatory registration, interoperability, and operationalization of registered consent managers under §6(7).
DPDP Rules notified and the Data Protection Board established. The initial framework is already in force.
Consent manager framework mandate: registration, interoperability, and consent notices in 22 Indian languages.
Full statutory enforcement and penalty liability, with fines of up to ₹250 crore per breach incident.
One platform. Complete visibility.
The FaceOff Privacy Engine orchestrates data discovery, AI classification, policy enforcement, and compliance reporting across your entire infrastructure.
Four layers, from raw ingestion to audit-ready evidence
8 Specialized Privacy Products
Governance & Lifecycle Automation
Homegrown SLM Intelligence Engine
Complete Enterprise Connector Matrix
Complete Enterprise Connector Matrix
Production-ready scanner matrix covering Data Warehouses & DBs (Snowflake, Postgres, Mongo, BigQuery), Cloud Storage (AWS S3, GCS, Azure), SaaS (Salesforce, Slack, Jira, Confluence), Productivity & Email (Workspace, Gmail, M365), and Local Devices out-of-the-box.
Enterprise databases, cloud storage, SaaS, inboxes & local devices
Encrypted TLS 1.3 scanner ingestion stream
Air-gapped AI privacy intelligence.
FaceOff's homegrown agentic SLM models run entirely inside your infrastructure: 22-language consent ledgers, automated DSAR fulfilment, zero cloud dependencies.
Multilingual consent translation with a cryptographic SHA-256 audit ledger
“हम आपकी गोपनीयता का सम्मान करते हैं। आपकी सहमति 90 दिनों के लिए दर्ज की गई है।”
Analyzed pg_transactions_v2 across 14 statutory controls.
Flagged PII: card_holder_name, enc_cvv_hash, billing_zip.
Risk rating: moderate. Missing 90-day retention purge rule.
Remediation applied: retention_policy_id #8912. DPIA report generated with full rule coverage.
Six questions. One continuous practice.
Privacy is not a project you finish. FaceOff Privacy runs the full lifecycle automatically, where every stage continuously feeds the next.
Six stages in one continuous governance loop
Discover
Where is our customers' personal info hiding?
Continuous automated scanning across all 8 enterprise data tiers.
Eight products. One platform.
Each product solves a specific enterprise privacy challenge, built on the shared FaceOff Privacy Engine intelligence layer.
Preview the consent banner your visitors will see, live
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Eight modules around one engine
engine
Intelligent Data Mapper
Discover and map personal data across every connected system.
From improvised to provable.
Six dimensions of privacy operations, measured before and after FaceOff. The improvised baseline becomes an audit posture you can prove to a regulator.
Operational privacy maturity across six dimensions
Manual privacy operations compared with FaceOff automation
Continuous PII lineage with an automatic system topology catalog
Single provable consent ledger with real-time downstream propagation
Automated PII retrieval across connectors, fulfilled inside the 30-day SLA
Rehearsed triage playbooks with automated 72-hour authority notification
Deployed your way. Governed one way.
However you run it, the platform behaves the same: least privilege, encryption in transit and at rest, and an audit trail on every action.
See your data landscape
the way we see it.
A demonstration walks through discovery, consent, DSAR, and breach response on a landscape shaped like yours.