Zero-Retention Deepfake Defense for Video KYC
Stop synthetic identities, AI face-swaps, and virtual camera injections in customer onboarding workflows before fraudulent accounts open.
KYC Vulnerabilities Defended by Sealed Rose
Virtual Camera Injections
Detects software video drivers, Android emulator loops, and OBS virtual cameras bypassing hardware webcam feeds.
Synthetic ID Photos
Flags AI-generated headshots placed onto fraudulent driver licenses and passports with sub-pixel frequency analysis.
BIPA & GDPR Compliance
Processes all checks in volatile RAM with zero persistent biometric storage, eliminating costly biometric privacy class actions.
Video KYC Liveness Webhook Example
Send raw video clips or pre-signed S3 links directly from your KYC orchestrator (e.g. Persona, Veriff, Sumsub).
curl -X POST https://sealedrose.com/api/v1/verify/video \
-H "Authorization: Bearer sr_live_your_api_key" \
-H "Content-Type: application/json" \
-d '{
"videoUrl": "https://secure-kyc.bank.com/sessions/sess_48291/liveness.mp4",
"inspectSensors": true,
"detectInjections": true
}'
# Response (200 OK ~780ms):
{
"verdict": "FLAGGED_INJECTION_SPOOF",
"confidenceScore": 0.992,
"hardwareAuthenticity": "VIRTUAL_SOFTWARE_CAMERA",
"syntheticIndicators": ["OBS_VIRTUAL_CAMERA", "FACIAL_WARPING_EDGES"],
"retentionPolicy": "ZERO_STORAGE_PURGED"
}Frequently Asked Questions
How do fraudsters attack modern video KYC verification?
Fraud syndicates inject software virtual cameras (OBS Studio, ManyCam, Deep Live Cam) into the browser or Android emulator environment, streaming real-time deepfakes of stolen identities directly into the KYC selfie and liveness capture window.
Can Sealed Rose detect virtual camera injection?
Yes. Our forensic pipeline inspects hardware driver signatures, camera sensor noise patterns (PRNU), frame rate anomalies, and temporal mesh micro-jitters to confirm video streams originate from physical optical hardware rather than synthetic render loops.
How does Sealed Rose comply with financial biometric privacy regulations?
Sealed Rose adheres to a strict 0-byte retention architecture. All video frames and biometric representations are evaluated in volatile RAM and immediately discarded. No biometric templates or face vectors are stored persistently, ensuring full compliance with Illinois BIPA, GDPR, and CCPA.
What is the latency impact on customer onboarding?
Our optimized neural models evaluate live selfie and video challenge frames in 500–800ms, enabling real-time step-up authentication without causing drop-off in user conversion funnels.
Secure Your Onboarding Pipeline
Request an enterprise sandbox evaluation or talk with our forensics engineering team.