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FaceOff Technologies

Government & Public Safety

One Platform. Every Critical India Sector Protected.

From CBI courtrooms to RBI-regulated banks to AIIMS health records — FaceOff ACE delivers the only unified AI security platform protecting India's most critical sectors. IT Act 65B compliant, CERT-In empanelled, DPDP Act 2023 by architecture. One contract, one integration, every threat covered.

Cross-Sector Coverage

  • Law Enforcement · CBI, ED, NIA, State Police
  • BFSI · RBI, SEBI, IRDAI, Banks, NBFCs
  • Healthcare and Govt · AIIMS, NMC, UIDAI, NHA
  • Agentic RAG · Indian Law and Compliance
  • DPDP Act 2023 · India Data Residency
Combined annual fraud losses across India law enforcement, banking, and healthcare sectors

₹57,750 Cr+

Combined annual fraud losses across India law enforcement, banking, and healthcare sectors

MHA · RBI FSR · MoHFW 2024

Every FaceOff ACE output — voice, video, identity graph, OSINT — is Indian court admissible by architecture

IT Act 65B

Every FaceOff ACE output — voice, video, identity graph, OSINT — is Indian court admissible by architecture

Information Technology Act 2000

Three critical sectors, one CERT-In empanelled platform, one DPDP Act 2023 compliant data architecture

1 Platform

Three critical sectors, one CERT-In empanelled platform, one DPDP Act 2023 compliant data architecture

FaceOff ACE India

Solution suite

Cross-Sector Solution Architecture for India

Law Enforcement · Banking and Financial Services · Healthcare and Government

Law Enforcement Suite

IT Act 65B court-admissible AI forensics for CBI, ED, NIA and State Police

Key Capabilities

  • DeepAudioGuard — DoT intercept voice forensics with Indian Evidence Act LR reports
  • DeepVideoGuard — IT Act 65B video authentication with GradCAM++ saliency exhibits
  • SyntheticFraudGuard AI — GraphSAGE Aadhaar identity graph for PMLA investigation
  • TrustShield OSINT — CERT-In compliant digital dossiers with RFC 3161 notarization

Use Cases

CBI and ED intercepts · PMLA evidence · NIA threat assessment · Political deepfake intel for Election Commission

Banking and Financial Services Suite

Synthetic Aadhaar fraud detection and passive session authentication for RBI-regulated banks

Key Capabilities

  • SyntheticFraudGuard AI — PAN-Aadhaar-CKYC graph at account-opening stage
  • BehaviorBioAuth — passive re-auth blocking SIM-swap mid-NEFT transaction
  • DeepAudioGuard — ElevenLabs clone detection on live treasury authorization calls
  • ForgeIDGuard AI — all seven India identity documents with UIDAI real-time validation

Use Cases

Jan Dhan account fraud · NEFT wire authorization · SEBI broker terminal auth · IRDAI insurance onboarding

Healthcare and Government Suite

DPDP Act 2023 aligned authentication and fraud detection across India public health systems

Key Capabilities

  • DeepMeetGuard — Ayushman Bharat AI-avatar detection before NHA billing submission
  • BehaviorBioAuth — continuous ABHA health record access re-authentication
  • DeepAudioGuard — NMC prescriber voice clone detection on Schedule H pharmacy calls
  • ForgeIDGuard AI — NMC certificate and CDSCO drug license forensics

Use Cases

Ayushman Bharat fraud · eSanjeevani teleconsultation · CGHS prescription auth · MoHFW investigation support

Unified India Compliance Posture

  • ISO 27001
  • CERT-In Empanelled
  • IT Act 65B
  • DPDP Act 2023
  • RBI Cyber Framework
  • SEBI Circular 2024
  • IRDAI KYC
  • PMLA 2002
  • NMC Registry
  • Indian Evidence Act
  • India Data Residency

Comparison

Cross-Sector Platform Advantage

FaceOff ACE vs Multi-Vendor Point Solutions for India

DimensionFaceOff ACE — Unified India Sector PlatformMulti-Vendor Point Solutions
Consolidation

One platform, one CERT-In empanelment, one DPDP Act 2023 data processing architecture

IT Act 65B output across all three sectors · single vendor qualification for MHA, RBI and MoHFW

Separate tools per sector — 4 to 8 vendors, separate CERT-In reviews, siloed compliance posture
Intelligence

10 AI models producing IT Act 65B admissible cross-modal trust scores across all sectors

Same forensic-grade output in a CBI courtroom, an RBI bank, or an AIIMS EHR system

Sector-specific tools with incompatible output formats — no cross-sector threat intelligence sharing
Data Residency

All processing within India data centres — DPDP Act 2023 compliant for all three sectors

Intercept data, health data, and identity graph — all within Indian sovereignty by architecture

Foreign-hosted tools transfer intercept recordings, health records, and Aadhaar data offshore
Shared Intel

GraphSAGE Aadhaar identity graph shared intelligence across LEA, BFSI, and healthcare

Synthetic identity ring detected in banking automatically informs LEA and healthcare fraud detection

Siloed point tools — a synthetic Aadhaar cluster detected in banking generates no alert to LEA or NHA

Shared threat intelligence across India sectors

Same synthetic Aadhaar rings target all three sectors
Criminal networks create synthetic Aadhaar identities used simultaneously for bank fraud, government benefit fraud, and Ayushman Bharat teleconsultation fraud — a unified graph detects all three.
Voice clone attacks span every India sector
ElevenLabs-cloned voices are used in NEFT wire fraud, pharmacy prescription abuse, and CBI witness impersonation — one detection model deployed across all three sectors.
One CERT-In empanelment covers all three sectors
A single FaceOff ACE deployment satisfies MHA, RBI Cyber Framework, and MoHFW requirements simultaneously — one empanelment process, one DPDP Act data processing agreement.

Common objections — answered

Our sectors procure separately with different requirements.
FaceOff ACE is modular — each sector procures its module independently with shared CERT-In certification and DPDP Act documentation, activating cross-sector intelligence sharing under a single enterprise agreement.
Different regulators mean different compliance frameworks.
FaceOff ACE output is pre-certified for IT Act 65B for law enforcement, RBI Cyber Framework for BFSI, and DPDP Act 2023 for healthcare — all from one India-resident data architecture.
Cross-sector integration across three government departments is complex.
Each sector module deploys independently via API. Cross-sector Aadhaar identity graph intelligence sharing activates as an overlay once all modules are live — no cross-department data sharing required during deployment.

Due diligence

The questions that matter

  1. How many CERT-In reviews, DPDP Act agreements, and vendor qualifications does your organisation currently manage across LEA, BFSI, and healthcare?
  2. Are the same synthetic Aadhaar rings attacking your bank, your Ayushman Bharat program, and your CBI investigations simultaneously?
  3. Is all intercept data, health data, and identity graph data processed exclusively within India data centres under DPDP Act 2023?
  4. If an ElevenLabs voice clone is detected in an ED PMLA case, does that intelligence automatically protect your bank's NEFT authorization system?
  5. What is the true total cost of your current multi-vendor AI fraud stack — contracts, CERT-In reviews, DPDP Act agreements, and analyst overhead?

What you deploy

Products for Governance & Risk

These are the FaceOff products most often deployed in this sector, in the order they usually land.

Trust Analytics Video

Video interviews authenticity and trust scoring.

Explore

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.