AI voice fraud is the fastest-growing attack on Indian banking
One detection engine.
Every voice channel a bank runs.
VoxShield decides — in under a second, on-premise, in 10 Indian languages — whether a caller is a real human or an AI-cloned voice, and returns an explainable risk signal your existing systems already know how to consume.
47%
of Indian adults hit by an AI voice/deepfake scam — 2× the global average1
₹22,495cr
lost to cyber fraud in India in 2025 (national portal)1
92,000+
deepfake "digital arrest" scam cases in India1
up to 80%
fraud-loss reduction achievable with voice anti-spoofing2
See it decide — live, right now
Runs against the real model on this machine. Genuine Indian speech reads LOW; an AI clone reads HIGH.
One engine, many front doors
The same stateless API secures every place a bank hears a customer's voice.
Impact calculator
A first-order estimate of fraud losses VoxShield can prevent. Adjust to your institution.
Voice interactions / day
Voice-fraud attempt rate
per 10,000 calls
Avg loss per successful fraud
VoxShield catch rate (recall)
measured recall on held-out data: ~92–99%
Estimated fraud prevented / year
—
Model: volume × attempt-rate × avg-loss × recall × 365. Illustrative, not a guarantee.
Why VoxShield wins where others can't
Indian-language fair
Tuned on 10 Indian languages. English-centric detectors flag genuine Indian callers as fake; we cut that false-positive rate from 36% to 11.7% (measured) and keep improving.
On-premise
Runs inside the bank's network on commodity hardware. Raw audio never leaves; only a SHA-256 hash is retained. DPDP data-minimisation by design.
Explainable
Every verdict ships with named reason codes (vocoder artifact, phase, pitch micro-variation, breathing) — auditable under RBI FREE-AI, not a black box.
Never auto-blocks
High-risk calls route to step-up verification (OTP / knowledge check). A genuine customer is never rejected outright.
5-model fusion
wav2vec2 · XLS-R · DistilHuBERT · acoustic DSP · a trained LFCC/CQCC head, combined by a learned stacker — decorrelated errors, higher recall.
Drop-in API
One stateless POST /api/analyze. Sits beside FICO Falcon / SAS, Amazon Connect, Genesys, voice biometrics — no workflow change.
A market inflecting now
Voice biometrics is projected to grow from $2.87B (2025) to $22.76B (2034) — a ~26% CAGR2 — and anti-spoofing is the layer that makes any of it safe. India is moving fast: RBI's V-CIP mandates live video KYC, and MeitY's BHASHINI launched an open multilingual voice-AI stack in 2026.1,2
8×
market growth by 2034