Banking-Grade Real-Time Fraud Detection for Live Phone Conversations
The Problem
Social engineering has become one of the fastest-growing forms of financial fraud worldwide. Instead of hacking systems, attackers manipulate people using deception, pressure, and impersonation to convince bank employees or customers to bypass security procedures during live conversations in call centers or branch interactions.
Traditional fraud detection tools focus on transactions after they occur or on identifying automated or spoofed callers. Few systems are capable of analyzing conversations contextually in real time to detect manipulation tactics as they happen, leaving financial institutions with limited visibility into these threats while they are unfolding.
The Solution: Shield Me
Shield Me is a real-time conversational security platform designed for financial institutions. It monitors live customer interactions across call centers and branch communications to detect social engineering tactics as they occur.
By analyzing the context of conversations rather than relying solely on keywords or voice biometrics, Shield Me identifies manipulation attempts such as impersonation, verification bypass, and coercion before fraudulent activity can be completed.
When risk is detected, the system can generate alerts, escalate the interaction, or intervene based on the institution’s security policies.
How Financial Institutions Use
Shield Me
Detect Social Engineering Tactics in Real Time
Identify Impersonation & Verification Bypass Attempts
Trigger Alerts and Escalations When Fraud Risk Is Detected
Add Social Engineering Detection to Existing Security Infrastructure
Access Fraud Detection Through Simple API Integration
Reduce Risk from Social Engineering and Account Takeover Fraud
API Process Overview
Conversation
Data is Sent to Shield Me API
Input Layer
Conversation Data is Processed and Structured
Processing Layer
AI Models Analyze Conversation Context
AI Analysis Layer
Sensitive Information is Automatically Redacted
Privacy Layer
Fraud Risk is Classified in Real Time
Risk Engine Layer
Results are Returned to The Requesting System
Output Layer
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