Caller Verification

Caller Verification for Help Desks and Call Centers

Protect help desks and phone-based support channels from impersonation attacks. Verify every caller’s identity before account changes, password resets, or sensitive escalations.

The Problem

Most support lines still rely on static questions or manual lookups to verify identity — methods that are easily bypassed by social engineering. Without real-time verification, help desks become easy targets for account takeover, fraud, and compliance violations. Compounding this risk, cybercriminals are now leveraging generative AI to create synthetic identities and deepfake voices. These AI-powered impersonation attacks are highly convincing and increasingly difficult for agents to detect without strong verification protocols in place.

The Solution

Credenti SafeLine protects help desks and call centers from impersonation by verifying caller identity in real time using flexible, secure challenges such as TOTP, number matching, or biometric proofing. Agents initiate the verification process, tailored to each scenario — from quick code checks to document-and-selfie verification. Each challenge is time-bound, monitored, and logged for compliance. The result: reduced risk, faster resolutions, and trusted caller interactions without unnecessary friction.

A help desk agent verifies a caller’s identity using a user profile screen, while a second monitor displays a “Mismatch” warning indicating a possible impersonation attempt; a smartphone on the desk shows a verification code used in the caller authentication process.

Where It Matters

IT Help Desk

Authenticate internal users before performing password resets or unlocking accounts.

HR Support Lines

Verify employees and contractors before releasing PII, benefits data, or employment details.

Call Centers

Ensure inbound callers are legitimate before providing account access or support information.

Student Services

Confirm student identities before discussing enrollment, financial aid, or academic standing.

Government Hotlines

Meet CJIS and NIST standards by verifying constituents or staff during phone-based interactions.

Healthcare Support

Verify patients or providers before disclosing PHI or making changes to medical records.

Boost Satisfaction for Everyone

Designed for simplicity and ease of use, SafeLine delivers frictionless experiences for both support agents and end users — improving satisfaction while strengthening security.

The Credenti Differentiator


Use Any Browser & Camera

Callers can complete ID document verification and liveness detection using any device with a browser and camera — no app downloads required. Works on mobile, desktop, and shared terminals.

Agent-Guided Verification

Support agents initiate verification flows and track real-time responses, ensuring control stays in the organization’s hands — not left to end-user interpretation.

No App Lock-In

Supports a range of authenticators including Google Authenticator, Okta Verify, Microsoft Authenticator, and more — flexibility that fits your ecosystem.

Biometric Identity with Liveness Detection

Combine government-issued ID verification with AI-based facial recognition and liveness detection to prevent spoofing, even during remote calls.

Cut Password Reset Calls

Reduce account lockouts and eliminate most password reset tickets by removing passwords from the help desk workflow.

Enhance Operational Efficiency

Streamline caller authentication and reduce average call handling time with real-time identity verification flows.

What Makes It Secure

Multi-Factor Caller Challenges

Use TOTP, push notification number matching, or biometric ID to confirm identity.

Real-Time Verification

Agents verify identity live, before proceeding with sensitive support actions.

Compliant by Design

Built to align with Zero Trust, NIST 800-63, HIPAA, and CJIS standards.

Stop Caller Impersonation at the Source

Add real-time identity verification to your help desk workflows. Empower your team to confidently support users — without falling for social engineering.