Face and Identity Consistency
Checks facial details, lighting, and edges for signs of AI-generated faces, face swaps, or blended identities that don’t match real camera footage.
Identity Fraud Protection
Authenticate Identity Verification Videos
AI-generated faces and voices can now pass basic “hold up your ID” or “say this phrase” checks. Add deepfake detection to your identity and KYC workflows.
Voice & Face Verification
KYC & Identity Checks
Deepfake Detection
Drag & drop a video here
or click to browse files
Supported formats: MP4, MOV, AVI, WebM
Maximum file size: 500MB
Privacy-first: Your videos are never stored
Understanding the Threat
How Deepfake Videos Bypass Identity Verification
Fraudsters use stolen data and AI-generated videos to bypass identity checks, impersonate real people, and gain access to accounts or systems.
- 1
Data and Media Harvesting
Attackers collect leaked identity data along with photos and videos from social media, video calls, and public profiles to build a believable identity.
- 2
Deepfake or Synthetic Identity Creation
They generate AI-powered face and voice clones or map a real identity onto a different person to match ID documents, selfies, or verification prompts.
- 3
Fake Video Verification and Liveness Bypass
Using pre-generated or manipulated videos, they simulate real-time responses like “turn your head” or “say this phrase,” allowing them to pass basic identity checks.
- 4
Impersonation and Account Abuse
Once verified, the identity is used to open accounts, impersonate employees or individuals, request money, or carry out fraud across platforms.
Detection Technology
What Our Detector Analyzes
Our system looks for signals that reveal deepfake faces, voice cloning, and attempts to fake real-time identity checks.
Voice and Prompt Compliance
Analyzes speech patterns, tone, and timing to detect text-to-speech or cloned voices that don’t behave like natural conversation.
Liveness and Motion Patterns
Evaluates blinking, head movement, and response timing to see if the person is reacting live or following a pre-generated script.
Capture and Recording Signals
Inspects frame cadence, encoding, and metadata to detect screen replays, emulator output, or non-camera capture pipelines.
Why It Matters
Real-World Impact
As identity checks move online, AI-generated videos are making it easier to impersonate real people and bypass verification. From account creation to financial access, a convincing video can create false trust and lead to fraud, losses, and long-term damage.
Step-by-Step Guide
How to Verify Identity and KYC Videos
Integrate these checks into your onboarding or high-risk verification workflows.
1
Capture the Raw Verification Clip
Ensure you have access to the original video file captured during the identity or liveness check.
Avoid re-encoding or compressing the file before analysis so subtle artifacts remain detectable.
2
Upload for Deepfake Screening
Upload the video to our detector as part of your automated review pipeline.
Use this alongside your existing identity verification steps.
3
Review Flags and Confidence Scores
Use the detection results alongside document checks, device fingerprints, and behavioral signals.
Flag videos that show inconsistencies or signs of spoofing for further review.
4
Take Action Based on Risk
Escalate suspicious cases, request additional verification, or block access when needed.
Define clear thresholds for when a video should trigger manual review or rejection.
Frequently Asked Questions
Can this integrate with our existing KYC flow?
Yes. It can run as a stand-alone check today, with API integration coming soon. It adds an additional layer to detect AI-generated identity videos and deepfake attempts during verification.
Which identity verification videos should be screened?
Any flow that relies on selfie-with-ID, liveness prompts, or proof-of-life videos. This includes onboarding, account recovery, and high-risk transactions.
Does this replace my current KYC provider?
No. It complements existing KYC and AML solutions by detecting AI-generated videos, face swaps, and liveness spoofing that traditional checks may miss.
Do you store customer identity videos?
No. Videos are analyzed and then deleted. We only store details such as a file name and result, not the video itself.
How often are your models updated?
We regularly update our models to track new deepfake tools and liveness bypass techniques, helping you stay ahead of evolving identity fraud tactics.
Related Use Cases
Identity Impersonation
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Dating SafetyDating Safety Video Verification
Catfishers and scammers on dating apps and social media platforms like Hinge, Bumble, Tinder, and Instagram now use AI to send convincing videos of fake partners.