Analysis at every call stage

Fraud prevention doesn’t have to come at the cost of efficiency or customer trust. Pindrop® Protect provides a single, comprehensive risk score for each call, starting in the Interactive Voice Response (IVR) and continuing through the agent call stage.1

80%
Fraud detection rate2

Catch more fraud with advanced risk analysis that surpasses traditional tools.

$5.5M
Average savings over 3 years3

Save money while reducing customer frustration with passive risk assessment.

<0.5%
False positive rate4

Minimize inaccurate fraud alerts, allowing investigators to spend more time on real threats.

Why Pindrop

Achieve robust security without disrupting the customer experience.
Improve risk strategies

Use industry-leading technology with a demonstrated 80% fraud detection rate.2

Reduce fraud losses

Analyze calls for risk at every stage to help reduce fraud losses by an average of $5.5M over three years.5

Enhance the caller experience

Save your callers’ time by minimizing the need for security questions or OTPs.

Run thorough risk evaluations

Detect suspicious behaviors, analyze voice, and evaluate risk both in the IVR and during agent interactions.

Recognize account takeover

Identify vulnerable accounts by studying IVR activity for reconnaissance attempts and bot behavior.

Gain insights from past calls

Uncover up to 22% more fraud6 by rescoring previous calls with new fraud intelligence, automatically flagging cases for further investigation.

Hear from our
customers

Discover how First National Bank of Omaha increased its account takeover recognition rate by 59%.

“Pindrop performed for us 34% better than what we projected in fraud loss cuts.”

Steve Furlong

Director of Fraud Management, First National Bank Omaha

Layered tech for stronger protection

Equip your team with advanced tools to help uncover and stop fraud at every stage.
Voice analysis

Detect fraudulent activity by analyzing confirmed fraudster profiles and identifying potential matches during live calls.

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Device analysis

Identifies risk by analyzing non-voice audio features against proprietary information from confirmed fraud cases.

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Metadata analysis

Assesses call details, including number reputation, phone number spoofing carrier information, call type, and past activity, to evaluate fraud risk.

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Behavior analysis

Spots unusual behaviors, such as robotic dialing, irregular calling patterns, and keypress anomalies, to flag potential fraud in the IVR and during agent interactions.

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Continuous scoring

Reanalyze previous calls using updated fraud intelligence, automatically identifying cases to catch up to 22% more fraud.6

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Fraud consortium

Leverage our adaptive and proprietary database of confirmed fraudsters, enhanced through 12+ years of accumulated intelligence.

Liveness detection

Detect deepfakes with 99% accuracy7 with our Pindrop® Pulse™ add-on, which analyzes audio to spot synthetic voices.

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How you can better uncover fraud

Learn more about fraud detection, the importance of advanced risk analysis tools, and how to reduce fraud losses at your business’s contact center.

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Voice security is
not a luxury—it’s
a necessity

Take the first step toward a safer, more secure future
for your business.

Sources + disclaimers

1Leg of the call analyzed depends on the configuration selected by the customer

2Fraud detection rate calculated as fraud detected by Protect as proportion of all confirmed fraud calls across all Pindrop® Protect customers for the full year 2023

3Forrester Consulting Report

4False positive rate (average calculated as % of genuine calls identified as fraud in proportion to all calls) across all Pindrop® Protect customers for the full year 2023

5Forrester Consulting study commissioned by Pindrop to determine Pindrop’s Total Economic Impact, 2022. The findings of the study reflect average cost savings and efficiency improvement across 6 interviewed customers including banks, insurers and media companies

6Derived from beta of a large national bank in 2024 – alert rate of rescored calls that were fraudulent compared to alert rate of original fraud calls