Sift Features

Intelligence (4)

Transaction Scoring: Based on 254 Sift reviews and verified by the G2 Product R&D team. Rates each transaction's risk based on specific factors and their benchmarked scores.
Risk Assessment: Based on 260 Sift reviews and verified by the G2 Product R&D team. Flags suspicious transactions and either alerts administrators or declines transaction.
Intelligence Reporting: Based on 251 Sift reviews and verified by the G2 Product R&D team. Actively gathers data on suspicious purchasing sources and characteristics of common committers of fraud.
ID Analytics: Based on 252 Sift reviews and verified by the G2 Product R&D team. Stores data from external or internal sources related to fake accounts, evaluating users for risk.

Fraud Detection: Based on 259 Sift reviews and verified by the G2 Product R&D team. Finds patterns in common occurrences of fraud to use when evaluating risk of purchasers.
Alerts: Based on 241 Sift reviews and verified by the G2 Product R&D team. Alerts administrators when fraud is suspected or transactions have been declined.
Real-Time Monitoring: Based on 255 Sift reviews and verified by the G2 Product R&D team. Constantly monitors system to detect anomalies in real time.
Real-Time Monitoring: Constantly monitors system to detect anomalies in real time. This feature was mentioned in 413 Sift reviews.
Alerts: Alerts administrators when fraud is suspected or transactions have been declined. This feature was mentioned in 407 Sift reviews.

Device Tracking: Based on 256 Sift reviews and verified by the G2 Product R&D team. Keeps records of geographic location and IP addresses of fraud suspects.
Fraud Markers: Based on 253 Sift reviews and verified by the G2 Product R&D team. Tags users suspected of committing fraud and identifies them upon return.
Blacklisting: Based on 250 Sift reviews and verified by the G2 Product R&D team. Prevents previous committers of fraud from future transactions.
Bot Mitigation: Monitors for and rids systems of bots suspected of committing fraud. This feature was mentioned in 229 Sift reviews.

ID Analytics: Based on 405 Sift reviews. Stores data from external or internal sources related to fake accounts, evaluating users for risk.
Intelligence Reporting: Actively gathers data on suspicious purchasing sources and characteristics of common committers of fraud. This feature was mentioned in 408 Sift reviews.
Incident Reports: Based on 401 Sift reviews. Produces reports detailing trends and vulnerabilities related to payments and fraud.

Fraud Markers: Tags users suspected of committing fraud and identifies them upon return. 411 reviewers of Sift have provided feedback on this feature.
Transaction Scoring: As reported in 411 Sift reviews. Rates each transaction's risk based on specific factors and their benchmarked scores.
Blacklisting: As reported in 411 Sift reviews. Prevents previous committers of fraud from future transactions.
Policy Management: As reported in 173 Sift reviews. Enables administrators to create access policies and applies policy controls throughout request and provisioning processes.
Application Integrations: As reported in 70 Sift reviews. Integrates with common applications such as service desk tools.

Payment monitoring: Based on 14 Sift reviews. Monitors both incoming and outgoing payments to detect fraud, such as fake payees, bank accounts, or unathorized users.
Real-time risk monitoring: Reviews every transaction in real‑time using rules, pre-defined criteria or a combination of signals to block, flag, or allow transactions. 14 reviewers of Sift have provided feedback on this feature.
Threshold Management: As reported in 13 Sift reviews. Allows configuring custom rules/thresholds and adjusting sensitivity for different types of transactions.