Fraud Blends In.
Detect Faster.
A clean document. A matching face. A passed liveness check. But behind it could be a
deepfake, a synthetic profile, or a planted mule.
We help you catch fraud before it becomes
part of your system, with explainable and
auditable fraud flags, not black-box rejections.
Fraud today doesn’t get caught.
It gets approved.

A document that
passes OCR

A video that
passes liveness

A customer that
clears KYC

Deepfaked presence
in video journeys

Synthetic IDs stitched
from real data

Forged documents with
zero visible tampering

Mules linked to
fraud networks
Fraud isn't a red flag anymore. It's a refined strategy.
And if your system can’t detect it, you’re onboarding risk by design.
Not just errors.
Signals of intent to defraud.

Deepfake & Spoofing Detection
Passive + active liveness tests
Light-angle manipulation signals
Drag-and-drop face overlay detection
Real-time video fraud scoring

Synthetic Identity Flags
PAN-GST-CIN mismatches
Fake IDs, recycled docs, unnatural name clusters
Behavioral anomalies across retries, channels,
and devices

Tampered Document Detection
Forged fonts, scanned overlays, and signature tampering
Mismatch in eSign, timestamp, and format
AI-led tamper detection with forgery scoring

Mule Account Risk
Low affluence, high volume behavior
eFIR, AML, and court history
Shared IDs, devices, and contact trails across entities
Cross-product or network-level flagging
Fraud tries every channel.
We secure them all.

Banking
& CASA
Flag mule risks at account opening
Detect tampered docs and facial spoofing
Score synthetic profiles before approval

Lending
& Credit
Block looped identities across loan apps
Catch fake promoters, altered financial proofs
Spot pattern-based synthetic fraud

Merchant
& Partner Onboarding
Flag shell firms and identity recyclers
Check both entity and promoter legitimacy
Detect hidden network linkages

Assisted
& Video Journeys
Real-time spoof and deepfake detection
Passive liveness with fraud scoring
Audit-ready trails for regulatory compliance


















