Dedicated to democratizing risk and fraud technologies, Deduce prevents consumer-facing Account Takeover (ATO) and registration fraud via the constantly growing Deduce Identity Network—the largest real-time identity graph across cyber risk and fraud in the U.S. today with over 400M profiles and in excess of 1.2B daily activities.

Location:New York, United States
Founded: 2019

Fraud Solution Profile

Identity fraud doubled from 2019 to 2020, with the number of data breaches reaching an all-time high in 2021 – and those numbers are just going to get worse in 2022 as more people login, register, and transact online than ever before.

Built on top of the Deduce Identity Network, Deduce offers two solutions to combat ATO and new account creation fraud:

1.Identity Insights

Risk & Trust signal data to empower risk teams with a dev-ops friendly approach to managing identity/authentication risk.

The data includes telemetry from real-time activity information packaged into risk signals (Impossible Travel, Device Downgrade, Unfamiliar Device, Previously Unseen Email, etc.), trust signals (Familiar Network, Familiar Device, Familiar City, Familiar Activity, etc.), or scores for simple ingestion into a risk engine.

The Deduce Identity Insights solution is intended to be used as a high-fidelity approach to identifying suspicious activity while decreasing unnecessary friction.

Deployed as an API, Insights is consumable in any risk engine, CIAM, or application stack. Deduce is typically consumed at registration, authentication, checkout, and risk moments such as change of primary contact (email, phone).

2.Customer Alerts

Deduce sends an Alert — typically a first-party branded email, asynchronously, on behalf of the Deduce customer — to their end-users on suspicious logins to enable a proactive stance against ATO. Customers are prompted to confirm or deny the activity. A negative selection will cause all active sessions to be terminated and proactively enable a user to reset their credentials.

Deduce’s greatest strength is the ability to correlate device, network and geographical information against a particular account to build predictive telemetry about the expected behavior of an individual.  Using a combination of statistical, unsupervised, and supervised machine learning models, this allows us to understand the specific characteristics of specific actors and imposters over hundreds of data features in the digital world.

The Identity Insights and seamlessly integrated Customer Alerts products are both accessible via a developer-friendly deployment model. Honors and awards include 2021 Fortress Cyber Security, Global InfoSec, and silver Edison Awards, as well as spotlights from Fast Company, Artificial Intelligence Excellence, and more. To learn more, please visit








Ecommerce, Financial Services, Insurance
 Primary Functionality
Identity & Authentication
 Fraud Type
Account Takeover, New Account Fraud
Machine Learning, Multi-Factor Authentication, Rules Engine