Sift

Sift is an AI-powered digital risk decisioning platform that helps businesses detect and prevent payment fraud, account takeover, and fake account creation. It leverages a global data network of over 1 trillion annual events to provide real-time risk scores and automated decisioning.

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Founded: 2011
Headquarters: San Francisco, CA
Company size: Not disclosed
Products tracked: 5

Products by Sift

5 products

Sift Score APIIntegrates Sift’s risk intelligence and real-time risk scores into internal risk models or third-party systems, adding external context to internally-built risk engines.0.00 reviewsIdentity Verification & Fraud Prevention

Account DefenseProactively detects and blocks account takeover (ATO) attacks using behavioral analysis and device fingerprinting to build consumer trust and manage fraud.0.00 reviewsIdentity Verification & Fraud Prevention

Payment ProtectionDetects and prevents fraudulent transactions in real-time, manages organizational risk, and automates payment reviews to approve more legitimate orders.0.00 reviewsIdentity Verification & Fraud Prevention

Content IntegrityProtects brand loyalty and consumer trust by detecting and preventing spam, scams, and abusive content at their source.0.00 reviewsIdentity Verification & Fraud Prevention

Sift PlatformThe core AI-powered digital risk decisioning platform that combines deep data, real-time risk scores, and identity graph insights to detect risk, automate decisions, and scale d...0.00 reviewsIdentity Verification & Fraud Prevention

Rankings

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Across industriesPrevent Fraudvia Payment Protection#2Security, Risk & Trust

Customers of Sift

AnthropicTechnology & Software

Customer voice

Customer testimonials

Quotes published on Sift's official website.

We have to make sure we get it right the first time. We want to be proactive and know what’s happening before it happens.

Customer testimonialOriginal

When it comes to seeking and destroying fraud, it’s been just me analyzing the data since our first fraud loss in July 2014 until April 2017, when we added an analyst.

Customer testimonialOriginal

Customer outcomes