Facets
Up-level identity fraud detection.
Enhance models and rules with attributes that enable a clearer view of identities and broader visibility into aggregate account opening activity across SentiLink’s network.
Attributes
Access novel, intelligent data.
Ingest attributes that use identity intelligence from state-of-the-art linking, and network intelligence from account opening activity across our network of financial institutions and fintechs — without the need for feature extraction.
- Name
- IP address
- Address
- Phone number
- DOB
- Email address
- SSN
- Network behavior
SentiLink has allowed us to increase protection for our members and streamline our onboarding process while also providing economic efficiencies. Their team has been incredibly responsive and supportive—a true partner to us at Current.
Stuart Sopp
CEO, Current
Risk systems
Flexible data points for powerful detection.
Build models using attributes best suited for detecting identity fraud within your customer demographics. Leverage flexible data for predictive rules instead of point solutions focused on a single input type.
01.
Understand fraud nuances
Broad, comprehensive data prepares risk decisioning models for any identity fraud issue with attributes that are relevant to available application identity data or specific to economic performance targets.
02.
Deploy proven predictiveness
Leverage the most predictive subset of identity and fraud features used in SentiLink models and enhance in-house risk decisioning tools with the same powerful intelligence that underpins SentiLink Scores.
03.
Augment decisioning data
Couple SentiLink Scores with granular feature data proven to increase risk decisioning performance for our partners, or use fraud-related network and identity intelligence in rules to bolster business policies.
Next up
Access powerful tools with sophisticated data insights.
Insights
Scale fraud decisioning
Empower risk teams with a more complete sense of the risk of incoming applications based on input details.
