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Sift

Digital commerce fraud platform

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Sift focuses on digital fraud decisions. Payment Protection assesses purchases and related abuse; Account Defense addresses account takeover; dispute tools support chargeback operations. It is a fraud layer that can complement an AML and identity stack, rather than a substitute for those controls.

Our assessment

Focused digital fraud specialist. Pair with identity, screening, and AML tools as needed.

Best fit and limitations

A relevant candidate for digital merchants and platforms with card fraud, account takeover, abuse, and dispute workflows. Compare fraud capture and conversion at the same loss target.

  • Not established as a sanctions, KYC/KYB, AML monitoring, or regulatory filing suite.
  • Dispute tools do not transfer fraud liability unless a specific contract says so.
  • Strong consumer fraud detection does not establish business underwriting or merchant reserve management.

Tools 5

Payment ProtectionPurchase and payment fraud
+
  • Detect stolen cards, card testing, and related abuse
  • Use scores, workflows, and manual-review context
Source 1
Account DefenseAccount takeover controls
+
  • Assess device, behavior, velocity, and session risk
  • Inform allow, challenge, and stronger intervention decisions
Source 2
Score Explainability + network viewsAnalyst investigation
+
  • Inspect reasons behind risk decisions
  • Review transaction activity and connected behavior
Source 1
Workflow simulationPolicy testing
+
  • Test risk policy changes before deployment
  • Tune thresholds and review workflows
Source 1
Dispute ManagementChargeback operations
+
  • Support dispute handling and outcome analysis
  • Confirm current availability and integrations
Source 3

AI capabilities

Ensemble fraud models + review summaries

Sift applies AI/ML to network and customer events. ActivityIQ in Account Defense provides generative summaries of cross-session behavior. This is review assistance; independent case or filing authority is not established.

Score payment fraudDetect account takeoverSummarize suspicious sessions
What to validate

Evaluate chargeback-lag effects, score reasons, policy simulation, and account-recovery outcomes. A low score is not a compliance clearance.

Source 2

Implementation

Integration checklist
  • Send complete lifecycle events, including account, session, order, and payment context.
  • Return fraud and dispute outcomes with consistent labels and timestamps.
  • Define allow, challenge, review, and block actions in the product and payment stack.
Commercial scope

Quote required. Separate payment events, account protection, dispute tools, analyst access, and support.

Estimate total cost
Questions for the demo
  1. What is the approval-rate lift at a fixed fraud-loss target?
  2. How do delayed chargebacks affect model feedback and our backtest?
  3. Which account and payment actions are automatic versus API recommendations?

Sources 3

Payment Protection and testing toolssift.com
Product
Account Defense and AI summariessift.com
Product
Service scope and data processingsift.com
Product

Reviewed September 17, 2026. Product claims come from public sources. Fit, limits, and evaluation questions are our analysis. This is not a hands-on performance test. Methodology