Deepfake Detection

Stop deepfakes with our proactive AI-driven solution

Combats AI-generated fraud using cutting-edge algorithms to identify synthetic images, videos, and voice clones with 98% accuracy. Powered by multi-layered forensic analysis, our solution prevents $600k to $1.8M in fraud for global clients.

How Deepfake Detection Works?

Integration

Embed API via SDK/REST endpoints into authentication workflows

Media Submission

Users upload images/videos during KYC, transactions, or logins

Forensic Analysis

AI scans for 120+ synthetic markers and inconsistencies

Threat Assessment

Instant risk score (0-100) with tampering evidence visualization

Action

Block fraud or escalate for review based on configurable thresholds

Benefits with Deepfake Detection

Financial Fraud Prevention

Block $100K–$300K in monthly losses by detecting synthetic media used in fraudulent KYC, transactions, and account takeovers. Our 0.004% false acceptance rate (FAR) minimizes risk exposure.

Real-Time Defense

Analyze images/videos in <300ms—faster than a human blink. Process 500+ daily verifications without latency, ensuring seamless user experiences during authentication.

Global Compliance

Meet ISO 30107-3 anti-spoofing standards and regional regulations (GDPR, Vietnam’s Degree 13). Prebuilt templates simplify audits and reduce legal liabilities.

AI Enables Features that Win Big

Micro-Texture Pattern Analysis

Detects anomalies in skin texture and reflectivity.

Wide Material Detection

Identifies spoofing materials like synthetic masks and 3D models.

Deep Fake Fingerprint Detection

Customise each report in accordance with your current loan process. Get insights that you need to approve or reject customer application.

Generative AI Agnostic

Supports GANs, diffusion models, and future technologies.

Print Attack Detection

Detects fraudulent attempts using print and digital replays.

FAQs

Here are the frequently asked ones

Our models analyze micro-textures, lighting inconsistencies, and generative AI fingerprints missed by human reviewers, achieving a 0.004% false acceptance rate (FAR).

Yes – the API supports SOAP/REST protocols and works with all major programming languages.

Banking (video KYC), Insurance (claims verification), E-commerce (seller authentication), and Social Media (content moderation).

Our adversarial training framework updates models weekly using data from emerging tools like Midjourney v6 and Sora.

Full compliance with ISO 30107-3, NIST Biometric Guidelines, and GDPR Article 9 biometric data protections.

Ready to Neutralize Deepfake Threats?

Schedule a free deepfake penetration test using your media files. Our team will demonstrate how we detect synthetic content that bypasses conventional checks.

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