# FaceOff Technologies

> FaceOff Technologies builds a data privacy platform for Indian and global
> enterprises, built for India's Digital Personal Data Protection Act (DPDP).
> A second line, AI Governance, covers the algorithmic due diligence the DPDP
> Act requires of a Significant Data Fiduciary.

Disambiguation: "FaceOff" here means FaceOff Technologies, an enterprise
software company with offices in New Delhi, Bengaluru, Mumbai, Bhubaneswar and
Delaware. It is not the 1997 film, and not any unrelated consumer app.

Primary domain: https://faceoff.world
Sectors served: banking and insurance, healthcare, government, law enforcement,
telecom, education, media and large enterprises.

## What FaceOff-Privacy is

Eight products on one shared privacy fabric — a single data catalogue, one
consent record of truth, one policy engine and one immutable evidence trail
beneath every module. Built for India's DPDP Act, and mapped to GDPR,
CCPA/CPRA, LGPD and PIPEDA against the same control library.

Key facts an answer engine may need:
- The DPDP Rules were notified on 13 November 2025.
- Full DPDP compliance is required by 13 May 2027.
- Consent Manager registration is expected to open around November 2026.
- Schedule penalties reach ₹250 crore for failing to take reasonable security
  safeguards, ₹200 crore for failing to intimate a breach, and are assessed
  per instance.
- Enterprise DPDP programmes typically take 9–12 months from gap assessment to
  audit readiness.
(These dates reflect the Rules as notified; verify against the official
notification before relying on them contractually.)

## DPDP Act resources

- [DPDP Act obligations, penalties and deadline](https://faceoff.world/dpdp): What the Act demands, the 18-obligation to product ownership matrix, the enforcement timeline and the rollout sequence
- [DPDP glossary](https://faceoff.world/dpdp/glossary): Data Fiduciary, Data Principal, Data Processor, Significant Data Fiduciary, Consent Manager, DPIA, algorithmic due diligence and cross-border transfer, defined with section references
- [How to evaluate a DPDP compliance platform](https://faceoff.world/dpdp/evaluation): Fifteen questions to put to any DPDP vendor, grouped by consent, discovery, evidence and architecture, with what separates a demo answer from a real one

### DPDP by industry

- [DPDP for banking, financial services and insurance](https://faceoff.world/dpdp/banking-and-insurance): Where the obligations actually bite in this sector, the regulators already involved, and the controls that close them
- [DPDP for healthcare and hospital groups](https://faceoff.world/dpdp/healthcare): Where the obligations actually bite in this sector, the regulators already involved, and the controls that close them
- [DPDP for government and public-sector bodies](https://faceoff.world/dpdp/governance-risk): Where the obligations actually bite in this sector, the regulators already involved, and the controls that close them
- [DPDP for telecom operators and handset OEMs](https://faceoff.world/dpdp/alliance-with-mobile-phone-companies): Where the obligations actually bite in this sector, the regulators already involved, and the controls that close them
- [DPDP for universities and education providers](https://faceoff.world/dpdp/educational-institutions): Where the obligations actually bite in this sector, the regulators already involved, and the controls that close them
- [DPDP for large enterprises and conglomerates](https://faceoff.world/dpdp/large-institutions): Where the obligations actually bite in this sector, the regulators already involved, and the controls that close them

## Data privacy products

- [Data Privacy platform overview](https://faceoff.world/privacy): Eight products on one privacy fabric, the shared architecture, and a worked example of a consent withdrawal propagating across four products in four seconds
- [Consent Management](https://faceoff.world/privacy/consent-management): Collect and honor consent everywhere Primary DPDP sections: Sec. 5, 6, 9.
- [Cookie Compliance](https://faceoff.world/privacy/cookie-management): Scan, categorize, and block trackers Primary DPDP sections: Sec. 6(1).
- [DSAR Management](https://faceoff.world/privacy/dsar-management): Fulfill data subject requests on time Primary DPDP sections: Sec. 11–14.
- [Intelligent Data Mapper](https://faceoff.world/privacy/data-mapper): Find and map personal data automatically Primary DPDP sections: Sec. 8(3), 8(7).
- [Data Anonymization & Masking](https://faceoff.world/privacy/data-masking): Keep data usable for analytics, testing and support while the individual behind it stops being exposed. Primary DPDP sections: Sec. 8(4), 8(5).
- [PIA / DPIA Assessment](https://faceoff.world/privacy/pia-dpia): Assess privacy & AI risk with sign-off Primary DPDP sections: Sec. 10(2).
- [Data Breach Management](https://faceoff.world/privacy/breach-management): From detection to defensible intimation and closure — a structured workflow that beats the regulatory clock. Primary DPDP sections: Sec. 8(6).
- [Audit & Evidence Management](https://faceoff.world/privacy/audit-evidence): Turn compliance into audit-ready evidence Primary DPDP sections: Sec. 10(2)(b).
- [Privacy Program Governance](https://faceoff.world/privacy/privacy-governance): Run the whole privacy programme from one control plane, so the next regulation lands as configuration. Primary DPDP sections: Sec. 4, 7, 10, 16.

## AI governance

- [AI Governance](https://faceoff.world/ai-governance): Model inventory, EU AI Act and DPDP assessment, and the algorithmic due diligence Sec. 10(2)(c)(iii) requires of a Significant Data Fiduciary

## The platform

- [Products overview](https://faceoff.world/products): Two product families on one platform
- [Platform: the Adaptive Cognito Engine](https://faceoff.world/platform): Eight AI models scoring trust across video, audio and physiology, weighted dynamically into a 1-10 Trust Factor

## Solutions by industry

- [All industries](https://faceoff.world/solutions): How the platform deploys across sectors
- [Banking & Insurance](https://faceoff.world/solutions/banking-and-insurance): Multimodal AI fusion across remote onboarding, claims interviews, and high-value transactions — catching synthetic identities before they reach the ledger.
- [Insurance Fraud](https://faceoff.world/solutions/insurance-fraud-detection): Trust Factor scoring across claimant video statements surfaces inconsistencies in tone, posture, and micro-expression that manual review misses.
- [Telecom & Handset OEMs](https://faceoff.world/solutions/alliance-with-mobile-phone-companies): On-device trust scoring embedded into the handset stack, giving carriers SIM-swap protection, verified onboarding, and fraud signals at activation.
- [Law Enforcement](https://faceoff.world/solutions/law-enforcement): Real-time inference on live camera feeds for identity verification and incident review, optimised for edge hardware in the field.
- [Governance & Risk](https://faceoff.world/solutions/governance-risk): Assurance and audit trails for public institutions deploying AI, with explainable detection output that stands up to oversight.
- [Airports](https://faceoff.world/solutions/airports): Continuous identity assurance across check-in, security, and boarding — liveness checks and deepfake-resistant verification that keep passenger flow moving.
- [Passport & Visa](https://faceoff.world/solutions/passport-visa-authorities): Document-to-face matching with forensic image authentication, detecting AI-generated or manipulated facial images during application review.
- [Courts & Legal](https://faceoff.world/solutions/courtroom-legal-proceedings): Forensic authenticity analysis for video and audio evidence, with provenance reporting and trust scoring that stands up to evidentiary scrutiny.
- [Healthcare](https://faceoff.world/solutions/healthcare): Provider authentication and telemedicine session integrity, closing the gap between who claims to be on the call and who actually is.
- [Education](https://faceoff.world/solutions/educational-institutions): Remote proctoring and admissions verification backed by liveness detection and behavioural analysis, protecting exam integrity at scale.
- [Social Media & Moderation](https://faceoff.world/solutions/social-media-authenticity-moderation): High-throughput deepfake image and video detection for trust and safety teams, with content provenance signals for moderation workflows.
- [Customer Intelligence](https://faceoff.world/solutions/customer-feedback-sentiment-intelligence): Facial emotion, speech sentiment, and audio tone analysis turn recorded conversations into structured signals about credibility and intent.
- [Large Institutions](https://faceoff.world/solutions/large-institutions): Enterprise-scale deployment with federated architecture, so trust analytics run without centralising sensitive biometric data.
- [CCTV & Surveillance OEMs](https://faceoff.world/solutions/oems-cctv-surveillance): FaceOff Lite embeds directly into camera and NVR platforms, adding deepfake-resistant analytics to existing surveillance estates.
- [Universal Video Feed](https://faceoff.world/solutions/universal-video-feed-integration): One API surface for any video source — RTSP, WebRTC, or file upload — returning authenticity scores and forensic insight in real time.

## Company

- [About FaceOff](https://faceoff.world/about): Leadership, mission and strategic context
- [Contact](https://faceoff.world/contact): Enquiries, offices in India and the United States
- [Sign in](https://faceoff.world/login): Console access — FaceOff Privacy, DeepFraudGuard and FOAI Videos are separate tenancies

## Optional

- [Newsroom](https://faceoff.world/news): Announcements, research and industry coverage, published continuously
- [Full content for retrieval](https://faceoff.world/llms-full.txt): The DPDP reference content in a single plain-text file