Sift Security

Sift Security

Sift Security is a fraud prevention and trust platform that uses machine learning and automation to detect online fraud and abuse in real-time. It helps businesses prevent account takeovers, promote trust, and improve security.
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Sift Security: Real-Time Fraud Prevention & Trust Platform

A machine learning-powered fraud prevention platform that detects online fraud and abuse in real-time, helping businesses prevent account takeovers, promote trust, and improve security.

What is Sift Security?

Sift Security is a comprehensive fraud prevention and trust platform designed to help online businesses prevent fraud and abuse in real-time. It uses advanced machine learning and automation to analyze user data and transactions to detect threats and risky behavior.

Some of the key features of Sift Security include:

  • Account takeover protection to stop attackers from gaining access to user accounts
  • Real-time fraud analysis of transactions using machine learning to identify threats
  • Tools to promote trust and establish identity to reduce abuse
  • Automated abuse prevention workflows to review and take action on risky transactions
  • Custom scores and rules to fine tune fraud detection for your business
  • Integrations with major e-commerce platforms like Shopify and enterprise solutions

By leveraging large datasets and algorithms that detect emerging fraud patterns, Sift Security enables companies to stay ahead of the latest threats. It provides actionable insights to security teams while also maximizing valid transactions and minimizing customer friction.

With custom branding and localization, flexible implementation options, and automation features, Sift Security is designed to adapt to any online business across industries such as retail, travel, marketplaces, and gambling.

Sift Security Features

Features

  1. Real-time fraud detection
  2. Machine learning models
  3. Automated abuse prevention
  4. Account takeover protection
  5. Fraud scoring
  6. Custom rules engine
  7. Integration with APIs

Pricing

  • Subscription-Based

Pros

Effective at detecting fraud in real-time

Helps prevent revenue loss from fraud

Improves security and trust

Automates fraud prevention

Customizable to business needs

Cons

Can take time to properly configure and train

May require engineering work to integrate APIs

Ongoing monitoring needed to tune models


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