Latest Product Releases

Global Profile Intelligence keeps network identity links fresh and surfaces cross-network context in the Console, Workflows, and Explore, so analysts recognize trusted users faster and act with confidence. New attack and anomaly detection alerts teams when key metrics move outside expected baselines, with clear investigation paths attached. Stronger device and login visibility, including more persistent iOS Device IDs and FIBR In-Console benchmarking for Account Defense, helps catch account takeover earlier. Bulk commenting, the Workflow Lists API, and advanced data export cut manual work and speed up daily operations.

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.

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 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.