AI Deepfake & Fraud Detection

Protect your platform from synthetic media, presentation attacks, and AI-generated fraud. Our real-time deepfake detection engine analyses every frame to keep fraudsters out.

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Overview

Deepfake & Fraud Detection Solution

Our AI-powered fraud detection system uses multi-model forensic analysis to identify deepfakes, GAN-generated faces, and presentation attacks before they compromise your onboarding or authentication flows.

How Deepfake & Fraud Detection Works

AI Detection

Deepfake Recognition

Advanced neural networks analyse facial micro-movements, lighting inconsistencies, and pixel-level artifacts to detect AI-generated or manipulated media.

Presentation Attack

Spoof Prevention

Our system detects print attacks, 3D masks, and video replay attempts to prevent fraudsters from bypassing biometric checks.

Synthetic Media

GAN & AI Media Detection

Identify GAN-generated faces, voice clones, and other synthetic media used to create false identities or manipulate verification flows.

The Process Behind Our Fraud Detection

Step 01 — Media Capture

User submits a video or image

The verification session captures a live or uploaded media sample for analysis.

  • → A selfie, video clip, or document image is submitted for review.
  • → The system pre-screens for minimum quality and resolution thresholds.
  • → Metadata and device signals are collected to establish context.
  • → The media is securely transmitted for AI processing.
Step 02 — AI Forensic Analysis

Deep neural networks scan for manipulation

Multiple AI models run in parallel to detect signs of forgery or synthetic generation.

  • → Facial consistency checks detect unnatural movements or blending seams.
  • → Frequency-domain analysis reveals compression artifacts from re-encoding.
  • → Liveness signals such as eye blinks and head movements are evaluated.
  • → Pixel-level forensics identify signs of GAN or diffusion model generation.
Step 03 — Risk Scoring

A fraud risk score is generated

All detection signals are combined into a single, actionable risk assessment.

  • → Each detection model contributes a confidence score to the final result.
  • → Scores are normalised and weighted based on attack type severity.
  • → A pass, review, or reject decision is made within milliseconds.
  • → Detailed audit logs are created for compliance and dispute resolution.
Step 04 — Reporting & Action

Results are returned to your platform

A structured JSON response delivers the verdict and supporting evidence.

  • → Your system receives a real-time webhook or API response with the result.
  • → Flagged sessions are queued for human review if required.
  • → Fraud patterns are fed back into model training for continuous improvement.
  • → Full compliance-ready reports are stored for audit purposes.

Solutions

Built for your industry

Whether you are onboarding retail investors or verifying dApp users, Verifilite has the right configuration for your compliance needs.

blockchain

Web3 & dApps

Put identity on-chain. Bind wallet addresses to real-world verified identities, gate smart contract access by KYC status, and make sure your token sales and airdrops reach genuine users, not bots or sanctioned wallets.

Crypto Brokers & Exchanges

Verify user identities, screen against OFAC and PEP lists, and accept USDT from customers without holding any private keys. Everything a regulated crypto business needs, without the enterprise price tag or the month-long integration project.

blockchain

Real World Assets (RWA)

Global token investors need fast, verified onboarding. Verifilite handles identity verification, proof of address, and AML checks for investors across 190+ countries, so you can focus on the asset and not the paperwork.

RWA
iGaming & Exports

iGaming & Exports

Verify player ages, confirm identities, and block duplicate or fraudulent accounts in real time. Keep your platform compliant with gaming regulations and your competition fair.

Fintech Solutions

Fintech

Onboard users in seconds, not days. Verifilite automates your entire KYC flow so your compliance team handles exceptions, not routine checks. Meet AML and KYC requirements without slowing down user growth. Works with neobanks, payment apps, lending platforms, and trading apps.

Integration

Integrate in minutes, not months

Drop-in widget, REST API, and SDK. Pick what works for your stack and go live the same day.

Web and Mobile SDK

Easily integrate our verification features into your web and mobile apps using lightweight SDKs with flexible customization options.

REST API

Full programmatic control over every step of the verification process. Send documents, receive structured results, configure webhooks, and build custom flows for any use case. Sandbox mode available so you can test without going live.

REST API

Full programmatic control over every step of the verification process. Send documents, receive structured results, configure webhooks, and build custom flows for any use case. Sandbox mode available so you can test without going live.

sdk-img

Pricing

Pricing that doesn't punish early-stage companies.

Enterprise KYC providers charge $1 to $2 per verification with high minimum commitments designed for large companies. We built Verifilite so individual developers and growing businesses can access the same quality of AI verification at a price that makes sense at any stage. Start with unlimited free kyc verifications.

Need volume pricing? Talk to Sales.

Frequently asked questions

Explore the most Frequently Asked Questions (FAQs) about KYC, AML legislation, KYB, Affiliate Program, and much more.

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News and Resources

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