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FaceOff Technologies

Data privacy · Trust analytics · AI governance

The face you trust is no longer proof of anything.

FaceOff proves what your systems are actually processing — whether the video and voice are real, where every trace of personal data lives, and that you can evidence both on demand.

Request a demoDPDP readiness

Live analysis

Adaptive Cognito Engine

Trust Factor

2.4/ 10

Synthetic — high confidence

Maximum DPDP penalty for failing to take reasonable security safeguards, assessed per instance

₹250 Cr

Maximum DPDP penalty for failing to take reasonable security safeguards, assessed per instance

The deadline every organisation processing personal data in India is working back from

13 May 2027

The deadline every organisation processing personal data in India is working back from

AI models scoring every frame across vision, audio and physiology

8

AI models scoring every frame across vision, audio and physiology

What we build

Two problems, one platform

Privacy controls that hold up to a regulator, and detection that tells you whether what you are looking at is real. Governance over the models doing both.

Data Privacy

Eight products on one privacy fabric — consent, discovery, DSAR, masking, assessments, breach and audit.

18 DPDP obligations owned

Trust & Security

Eight AI models score whether a face, a voice or a document is real, and produce evidence that survives scrutiny.

Trust Factor graded 1–10

AI Governance

Model inventory, EU AI Act and DPDP assessment, and the algorithmic due diligence Sec. 10 now requires.

9 regimes, one assessment

Where it runs

The models are the same. The threat model is not.

Each sector page covers the fraud economics, the regulators already involved, and the controls that close the gap.

All 15 industries

How consent moves

One consent signal, every channel, every system that processes

Consent is collected wherever your customers already are, normalised into a single purpose-scoped record, and pushed to the systems that touch personal data — each of which acknowledges it before it processes.

Capture channels

  • Web & cookie bannerCaptured at first touch
  • Mobile app SDKIn-app preference centre
  • API & serverSystem-to-system capture
  • Agent, IVR & branchAssisted and voice journeys
  • Paper & thumb impressionDigitised at ingestion

Consent engine

  1. GatewayOne entry point for every channel
  2. NormaliseChannel formats to one consent object
  3. Policy & purposeScoped to a purpose and a notice version
  4. Consent ledgerAppend-only, timestamped, replayable
  5. Event publisherChange fans out in real time

Downstream systems

  • CRM & MDMChecks before it contactsack
  • Analytics & BIChecks before it modelsack
  • Processors & vendorsInherits and confirmsack
  • Data warehouseChecks before it joinsack
  • Ad & martechChecks before it targetsack

Withdrawal runs the same path in reverse. Every hop — the notice served, the choice made, the policy version applied and each downstream acknowledgement — lands in an append-only trail you can replay.

Inside Consent Management

Why now

DPDP is not a project. It is a configuration.

The Rules were notified in November 2025 and full compliance falls due in May 2027. The question is not whether you can comply — it is whether what you build for DPDP still works when the next law lands.

Read the DPDP briefEvaluation guide
One catalogue
Every obligation resolves against the same record of where personal data lives.
Enforced, not logged
Downstream systems check consent before processing, and acknowledge it.
Evidence as a by-product
The audit trail is produced by running the controls, not assembled for the auditor.
Multi-jurisdictional
DPDP, GDPR, CCPA/CPRA, LGPD and PIPEDA on one control library.

See it score a real video.

Bring your own footage. We will run it through the Adaptive Cognito Engine and walk you through what each of the eight models saw.

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