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FaceOff Technologies

Health & Education

Protect the Patient. Authenticate the Provider. Secure the Data.

India's healthcare sector loses ₹45,000 Cr+ annually to fraud, waste, and abuse. AI-generated physician credentials, deepfake telemedicine consultations, and voice-cloned prescription fraud are emerging threats that legacy controls were never designed to address. FaceOff ACE closes every gap across healthcare and government systems.

Platform for India Healthcare and Govt

  • BehaviorBioAuth — ABHA and EHR Access
  • DeepVideoGuard — eSanjeevani Fraud
  • DeepAudioGuard — Prescriber Clone Detection
  • ForgeIDGuard AI — NMC Credential Forensics
  • DeepMeetGuard — Ayushman Bharat Fraud
Estimated annual healthcare fraud and misuse in India's public health systems

₹45,000 Cr+

Estimated annual healthcare fraud and misuse in India's public health systems

MoHFW Health Sector Report 2024

Health data is sensitive personal data — consent-based processing mandatory for all patient records under Digital Personal Data Protection Act 2023

DPDP 2023

Health data is sensitive personal data — consent-based processing mandatory for all patient records under Digital Personal Data Protection Act 2023

DPDP Act 2023

Rise in telemedicine deepfake fraud attempts targeting Ayushman Bharat billing since 2022

340%

Rise in telemedicine deepfake fraud attempts targeting Ayushman Bharat billing since 2022

NHA Program Integrity Report 2024

Solution suite

FaceOff ACE Solution Suite for India Healthcare and Government

DPDP Act 2023 · CERT-In · NMC · NHA · IT Act 65B aligned

DeepVideoGuard + DeepMeetGuard

Telemedicine session authentication and AI-physician avatar detection before Ayushman billing

Key Capabilities

  • Native WebRTC integration with Practo, DocsApp and government eSanjeevani platforms
  • 8-model Trust Factor Engine — per-session trust score 1 to 10 displayed in real time
  • Live Trust Badge shown to supervising physician before consultation is recorded or billed
  • All analysis on-premise or India cloud — raw video never leaves the healthcare network

Use Cases

Ayushman Bharat fraud prevention · NMC teleconsultation authentication · MoHFW investigation support · eSanjeevani session integrity

BehaviorBioAuth — ABHA and EHR Auth

Continuous passive re-authentication for clinical staff accessing ABHA health records — DPDP Act 2023 aligned

Key Capabilities

  • rPPG physiological signals, keystroke dynamics and mouse patterns per 30-second window
  • Zero biometric template storage — DPDP Act 2023 sensitive personal data compliant
  • All authentication events processed within India cloud only — no cross-border health data transfer
  • Every re-authentication event logged — satisfies DPDP Act data principal access rights

Use Cases

ABHA health record access control · NMC prescription authorization · Government hospital IT staff monitoring · MoHFW insider threat detection

DeepAudioGuard — Prescription Voice Fraud

Real-time voice clone detection on pharmacist-to-prescriber calls — NMC and CDSCO aligned

Key Capabilities

  • ECAPA-TDNN voice matching against enrolled NMC-registered physician profile in under 2 seconds
  • Detects ElevenLabs, VALL-E and YourTTS clone artifacts on live pharmacy calls
  • Pharmacy IVR API integration — transparent prescriber identity check on routine calls
  • DPDP Act compliant — all patient-adjacent data processed within India data centres

Use Cases

Controlled drug phone authorization · CGHS and ESIC prescription auth · Schedule H drug fraud prevention · Emergency prescriber verification

ForgeIDGuard AI — Medical Credential Forensics

Multi-stream CNN detecting forged NMC certificates and unlicensed prescriber credentials

Key Capabilities

  • Multi-stream CNN analyzes NMC Registration Certificate texture, QR barcode and semantic consistency
  • NMC online register, CDSCO drug license and state medical council database auto-validation
  • Detects AI-generated credential forgeries submitted to telemedicine credentialing portals
  • IT Act 65B forensic reports for MoHFW and consumer forum proceedings

Use Cases

Telemedicine NMC verification · CGHS vendor credentialing · Hospital procurement supplier validation · AIIMS government tender document forensics

Compliance

  • ISO 27001
  • CERT-In Empanelled
  • DPDP Act 2023
  • IT Act 65B
  • NMC Registry Validated
  • CDSCO Aligned
  • NHA Program Integrity
  • MeitY Standard Format
  • India Data Residency

Comparison

Platform Comparison

FaceOff ACE vs Legacy India Healthcare Security

DimensionFaceOff ACE — India Healthcare and GovernmentLegacy Healthcare Security
Telehealth Fraud

AI-physician avatar detection before Ayushman Bharat reimbursement submission — under 200ms

Blocks the 340% NHA-confirmed deepfake fraud surge · IT Act 65B session integrity report auto-generated

No real-time avatar detection — AI-physician teleconsultations pass billing review and NHA reimbursement
Health Data Auth

DPDP Act 2023 continuous ABHA authentication — zero biometric template storage

Detects shared credentials and session handoff — most common ABHA data breach cause

Login-only MFA — shared credentials undetected throughout clinical shift · DPDP Act storage liability
Prescription Fraud

Real-time NMC prescriber voice clone detection on live pharmacy calls — under 2 seconds

Only platform in India detecting AI voice clones on live Schedule H pharmacy authorization calls

Manual pharmacist verification only — AI-cloned physician voice passes human review on drug calls
Credential Forensics

NMC, CDSCO and state medical council database auto-validation at credential submission

Forged NMC certificates blocked before platform onboarding — 98.1% detection accuracy

Manual credential review only — forged NMC certificates enable unlicensed prescribing across states

When a point solution may suffice

No telemedicine or eSanjeevani program
Government hospitals and private facilities with exclusively physical in-person care delivery and no teleconsultation program face a narrower AI fraud surface.
No Ayushman Bharat billing
Private hospitals and clinics outside the Ayushman Bharat and government health scheme billing ecosystem are not directly exposed to the AI-avatar reimbursement fraud vector.
No controlled substance prescribing
Hospitals and clinics not prescribing Schedule H or government-regulated controlled substances face a lower risk of voice-clone pharmacy call fraud.

Common objections — answered

Our telemedicine platform has built-in security controls.
Telemedicine platform security does not include AI-physician avatar detection. A fraud ring generating reimbursement claims across 9 states used AI avatars that passed every platform control — caught only post-billing by NHA.
We satisfy ABHA access requirements with existing credentials.
ABHA requires continuous identity assurance for data trustees under DPDP Act 2023. BehaviorBioAuth provides 30-second passive re-authentication with zero biometric template storage — the only DPDP-compliant solution.
Our pharmacy NMC verification process is manual but sufficient.
CDSCO and NMC confirmed an AI-cloned physician voice fraud ring across 6 states. No manual process detects ElevenLabs synthesis artifacts on live calls — real-time AI detection is the only defence.

Due diligence

The questions that matter

  1. Can your eSanjeevani or telemedicine platform detect an AI-generated physician avatar before the Ayushman Bharat claim is submitted?
  2. Does your ABHA health record access control detect shared credential use and session handoff during a clinical shift?
  3. Can your pharmacy system detect an ElevenLabs-cloned prescriber voice on a live Schedule H authorization call in under 2 seconds?
  4. Are NMC registration certificates auto-validated against the CDSCO and NMC online register at telemedicine onboarding?
  5. Is all patient-adjacent health data processed exclusively within India data centres as required by DPDP Act 2023 sensitive personal data provisions?

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.