The Sift Platform is a cloud-based digital trust and fraud prevention system designed to help organizations identify, manage, and reduce fraudulent and abusive behavior. It analyzes large volumes of user, transaction, and behavioral data in real time to assess risk and support automated or manual decision-making. The platform is used across industries such as e-commerce, marketplaces, fintech, and on-demand services to protect accounts, payments, content, and user interactions. Sift combines machine learning models, global network data, and configurable workflows to adapt fraud prevention to different business use cases.

Key Features

Machine Learning Risk Scoring

Evaluates the likelihood of fraud or abuse.

• Real-time risk scores for users and events
• Models trained on global network data

Fraud Detection and Prevention

Identifies fraudulent activity across use cases.

• Payment fraud detection
• Account takeover and fake account prevention

Abuse and Content Protection

Monitors non-transactional risks.

• Detection of spam, scams, and abusive behavior
• Protection of user-generated content and interactions

Decision Engine

Supports automated and manual actions.

• Rule-based and model-driven decisions
• Configurable thresholds and responses

Workflow and Case Management

Enables investigation and resolution.

• Review queues for flagged events
• Tools for analyst collaboration and escalation

Network Intelligence

Leverages shared fraud signals.

• Cross-customer insights into emerging threats
• Continuous model improvement

APIs and Data Ingestion

Integrates with existing systems.

• Event-based and batch data ingestion
• Real-time decision APIs

Reporting and Analytics

Provides visibility into risk and performance.

• Fraud trends and performance metrics
• Historical analysis and export capabilities

Benefits

Reduced Fraud Losses

Prevents financial and operational damage.

• Early detection of fraudulent activity
• Fewer successful fraud attempts

Improved Customer Experience

Minimizes unnecessary friction.

• Lower false-positive rates
• Faster, more accurate decisions

Operational Efficiency

Optimizes fraud operations.

• Automation of routine decisions
• Focused review of high-risk cases

Scalable Risk Management

Supports business growth.

• Handles high transaction volumes
• Adapts to new fraud patterns

Holistic Trust Assessment

Covers multiple risk types.

• Unified view of fraud and abuse
• Consistent risk evaluation across channels