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Banking verified Verified Outcome TRL 9

Voice Biometrics for Authentication

domain Client: Global UK-Based Bank handshake Provider: Nuance (Microsoft) schedule Deploy: 2019-2023
92 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

The bank replaced traditional passwords and security questions with voice biometric authentication for telephone banking, securing millions of customers against social engineering.

rate_review Analyst Verdict

"A definitive security upgrade. Passwords and 'mother's maiden name' questions are easily socially engineered. Voice biometrics provides a higher friction barrier to fraudsters while reducing friction for legitimate customers."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Telephone banking fraud was rising due to social engineering attacks where fraudsters could easily guess or phish answers to security questions. Simultaneously, legitimate customers were frustrated by the need to remember complex PINs or passwords for a channel they used infrequently, leading to high authentication failure rates.

psychology The Solution

The institution deployed a voice biometrics engine that identifies customers based on over 100 unique vocal characteristics. The system authenticates users during natural conversation with the agent, eliminating the need for an interrogation-style login process. It also maintains a 'blacklist' of known fraudster voice prints to flag suspicious calls immediately.

settings_suggest Technical & Deployment Specs

Integrations
Contact Center Telephony
Deployment Model
Hybrid
Data Classification
Biometric Data
Estimated TCO / ROI
Medium
POC Summary ( to )

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Deepfake Voice Attacks Medium Liveness detection

trending_up Impact Trajectory

Audited value realization curve

Millions of customers enrolled Verified Outcome
Primary KPIReduction in telephone fraud losses
Audit CycleFaster authentication time (seconds vs minutes)

policy Compliance & Gov

  • Standards: GDPR / FCA
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Biometric Data

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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The "Blind Verification" Protocol

How we verified these outcomes for Global UK-Based Bank without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-426
Evidence: Direct SQL Logs
Public
public

2. Verified Asset

Outcome: Verified
Ref ID: #COI-426

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