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Ant Digital Technologies

Real ID for Social & UGC — AI-Driven Digital Identity by Ant Digital Technologies

Empower safe growth with digital identity that scales. Ant Digital Technologies (Ant DT) provides AI-driven, fully automated biometric verification and identity proofing that accelerate onboarding, prevent fraud, and support AML compliance. Liveness detection and policy-based risk controls protect creators and communities from deepfake-driven abuse—without adding friction.

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Value Drivers

AI-Driven Automation

Fully automated, AI-driven identity verification resolves most sessions in real time and minimizes manual review.

Built for Scale & Compliance

API/SDK integration for web and mobile; privacy-by-design foundations support KYC/AML workflows and regional requirements.

Deepfake Resistance with AI

AI-powered liveness and anti-injection checks help stop replay, face-swap, and synthetic identity attacks.

Actionable Insights

Dashboards and auditing help teams tune thresholds, measure false accepts/rejects, and improve fraud prevention outcomes.

Friction Where It Matters

Risk-based policies keep most flows fast while stepping up checks only for higher-risk sessions.

Problems We Solve

Creator / Merchant Onboarding:

Reduce time-to-verify and deter impersonation at account creation.

Anti-Deepfake & Replay:

Identify presentation and injection attacks before they propagate across the network.

Account Integrity:

Detect duplicate attempts and coordinated abuse without over-blocking legitimate users.

Chargeback & Dispute Risk:

Strengthen identity trust for payouts, gifting, and virtual economies.

Age & Parental Controls:

Enable policy-based checks to support teen safety frameworks and content access rules.

Regulatory KYC/AML:

Align identity steps with policy for high-risk regions or monetization features.

Ant Digital Technologies’ Approach

Ant DT treats digital identity as defense-in-depth, combining multiple controls that work together:

Biometric verification + document authentication create a measurable baseline of identity trust.
Risk policy orchestration adjusts verification strength by channel, geography, transaction type, or user behavior.
Liveness detection (active and passive) and anti-injection harden capture flows against photos, videos, and face swaps.
Privacy-by-design data handling with configurable retention and regional deployment options.
Within Ant DT, these capabilities are delivered through Ant Digital Technologies’ ZOLOZ biometric and identity-assurance brand family, as part of a unified Ant DT solution.

How It Works

1. Session Initialization

Client app requests a verification session and receives a secure token.

2. Capture (Web/Mobile SDKs)

Users capture ID documents and face images through guided flows with real-time quality checks.

3. Secure Upload

Media and metadata are transmitted over encrypted channels with tamper controls.

4. Orchestration & Policy

Document authentication, face match, liveness, anti-injection, and risk rules run in sequence or parallel based on policy.

5. Decision & Callbacks

The platform receives structured results and confidence signals for approve/step-up/decline decisions.

Key Capabilities

OCR & ID document verification
Duplicate-attempt and pattern detection
Face matching with quality and spoof-resistance checks
Risk-based orchestration & step-up policies
Active/Passive liveness detection
Reporting, analytics, and audit logs
Anti-replay / anti-face-swap protections
Privacy-by-design with configurable data controls
Multi-frame consistency & multi-angle capture

Security, Privacy & Compliance

Data minimization, encryption in transit/at rest, and configurable retention.
Regional deployment and policy controls to support localization needs.
Presentation-attack–resistance best practices are applied to strengthen biometric verification assurance.
Designed to fit KYC/AML processes and internal review/audit workflows. (No claims of external certification are made on this page.)

Use Cases

Social / UGC / Communities:

New-user onboarding, creator verification, payout readiness, and abuse mitigation.

Gaming & Marketplaces:

Seller/buyer verification, cash-out checks, and dispute control.

Short Video & Live Streaming:

Host verification, age gating, and step-up checks for virtual gifting and commerce.

Fintech & Payments:

eKYC for wallets and embedded finance features in-platform.

Dating & Trust & Safety:

Prevent impersonation and fake profiles; increase user confidence in matches.

Integration (Developer Friendly)

SDKs & APIs:

Web and mobile SDKs for capture; server APIs for session init, secure upload, and results callbacks.

Progressive Rollout:

Start with baseline checks; enable step-up liveness and anti-injection for higher-risk flows.

Observability:

Use dashboards and exports to monitor performance and adjust thresholds.

Governance:

Configure data residency, retention, and privacy flags per market.

FAQs

1.How does Ant DT keep friction low while improving fraud prevention?

Risk-based orchestration applies stronger checks only when signals indicate elevated risk. Most users complete fast, baseline verification; step-up liveness runs for higher-risk sessions.

2.What deepfake defenses are supported?

The solution combines active/passive liveness with anti-injection measures to resist replays and face swaps, plus multi-frame consistency to spot synthetic artifacts.

3.Can this support KYC/AML needs for monetization features?

Yes. Verification steps can be aligned to internal policies and regional regulations for payouts, creator programs, and higher-value transactions.

4.How difficult is integration?

Teams integrate via SDKs for capture and APIs for orchestration and callbacks. A typical rollout begins in a sandbox, then expands by risk tier and geography.

5.How is user data protected?

Ant DT applies privacy-by-design, encryption, and configurable retention, with options for regional handling based on customer requirements.