Sift

What is Sift?

Sift is a leading AI-driven platform designed to help businesses prevent fraud and build trust throughout the digital customer journey. Leveraging a vast global data network processing over one trillion events annually, Sift combines machine learning, behavioral analytics, and identity intelligence to deliver precise fraud detection and risk management. Its platform integrates advanced automation, real-time decisioning, and expert community insights, empowering companies to reduce fraud losses, enhance customer experience, and scale operations efficiently.

Key Features

• Identity Trust XD

  Context-based fraud decisioning that links user activities across multiple touchpoints to provide a comprehensive understanding of digital identities.

• Advanced AI and Machine Learning

  Utilizes patented data techniques and global behavioral data to improve fraud detection accuracy and reduce false positives.

• Automation and Workflow Management

  Enables fraud teams to automate risk logic, streamline case management, and simulate workflow changes for optimized fraud prevention.

• ThreatClusters

  Industry-specific AI risk models that combine customer-specific and global intelligence to fine-tune fraud detection.

• Real-Time Risk Adaptation with RiskWatch

  Automatically adjusts fraud block rates in response to shifts in user behavior or fraud attack patterns.

• Comprehensive Fraud Industry Benchmarking (FIBR)

  Provides actionable insights by comparing fraud performance against industry benchmarks derived from Sift’s global network.

Use Cases

• E-commerce Fraud Prevention : Protect online transactions and reduce chargebacks by detecting fraudulent activities in real time.
• Account Takeover Protection : Detect and prevent unauthorized account access using behavioral analysis and device fingerprinting.
• Payment and Alternative Payment Method Security : Secure payments across credit cards, digital wallets, and emerging methods like Buy Now, Pay Later with specialized automation and ML models.
• Content and Policy Abuse Prevention : Identify and mitigate fraudulent content submissions and policy violations to maintain platform integrity.
• Fraud Operations Scaling : Leverage AI-powered automation to efficiently scale fraud prevention efforts with limited resources.

FAQs