ActivityIQ is a GenAI fraud research assistant that summarizes user actions across sessions in seconds, helping teams spot high-risk activity faster and reduce investigation time. FIBR-In-Console delivers instant benchmarking by showing company metrics side-by-side with industry and global fraud rates. With Automatic Chargeback Labeling and smarter Console upgrades, analysts gain sharper accuracy, less manual work, and faster day-to-day operations.

FIBR in-console makes it easier for customers to gain a deeper understanding of fraud performance relative to industry and global benchmarks. Now, a company’s unique chargeback and block rates are pre-populated right alongside FIBR data directly within the Sift Console, offering a clear, side-by-side view of attack rates and vertical-specific insights.

Identity Trust XD shifts fraud prevention from stand-alone risk signals to context-based decisioning to reveal the full story behind every user, execute more confident fraud investigations, and accelerate speed-to-trust for every decision. Powered by the Sift Global Data Network, which processes over 1 trillion events annually, Identity Trust XD links user activities across various digital touchpoints, industries, and geographies to deliver a comprehensive understanding of every identity.

Sift’s enhanced ATO solutions combine identity-centric accuracy, real-time behavioral analysis, and device fingerprinting to detect account takeover fraud faster and more precisely, eliminating data gaps and delayed response. With seamless CIAM integrations, fine-tuned MFA controls, and pre-built automations, businesses gain actionable insights and unified workflows that prevent a median of up to $4.2 million per year in fraud losses per customer.

ThreatClusters is a revolutionary approach to AI-powered risk decisioning that uses a multi-pronged method, combining the precision of customer-specific risk models with the broader intelligence of a global model, in order to derive risk signals that are unique to each industry. ThreatClusters can improve fraud decision accuracy, reducing the risk of false positives/negatives up to 20% by fine tuning risk models to incorporate the real-time behavior traits of a cohort of peers, in addition to new-to-cohort fraud patterns.

RiskWatch makes it possible to set target block rates that automatically adapt in response to changes in user behavior, fraud attacks, or other dramatic shifts. RiskWatch automatically accounts for changes in user behavior patterns in real time, during fraud attacks or other dramatic shifts, with block rates adapting to capture additional risky events as they occur. As attacks conclude, risk thresholds return to pre-fraud levels that can be easily adjusted. RiskWatch is immediately available for Sift customers that leverage Sift for account creation, account takeover, content, payment, policy, and chargeback fraud.

FIBR is the first-of-its-kind Fraud Industry Benchmarking Resource showcasing real-world data benchmarks for payment fraud and account takeover. See how your digital risk strategy stacks up against others in your market, and get essential insights into fraud trends emerging across Sift’s Global Network.