Identity Coherence Layer (Primitive)

What it does

Cross-source identity proofing with vertical-adjustable coherence weights

The Identity Coherence Layer is a primitive that performs cross-source identity proofing using 16 distinct signals. It integrates data from the Social Security Administration Death Master File (SSA DMF), National Change of Address (NCOA), Department of Motor Vehicles (DMV), voter files, synthetic ID clusters, and device fingerprinting. This layer allows for vertical-adjustable coherence weights, enabling tailored identity verification across different sectors.

Concretely, this primitive enhances the integrity of identity verification processes by leveraging a comprehensive set of data sources and adjustable parameters, ensuring that identity checks are both robust and relevant to the specific vertical.

16 cross-source signals

Comprehensive identity verification through multiple data sources

The Identity Coherence Layer utilizes 16 cross-source signals to verify identities. These signals include data from the SSA DMF, NCOA, DMV, voter files, synthetic ID clusters, and device fingerprinting. Each signal contributes to a holistic view of identity, reducing the risk of fraud and ensuring compliance across various verticals.

By integrating these diverse data sources, the primitive provides a layered approach to identity verification, making it difficult for fraudulent actors to bypass the system.

Vertical-adjustable weights

Tailored identity coherence for different verticals

One of the key features of the Identity Coherence Layer is its ability to adjust coherence weights based on the vertical. This means that the importance of each signal can be fine-tuned to meet the specific needs and risk profiles of different sectors, such as healthcare, federal grants, or unemployment insurance.

This flexibility ensures that the identity verification process is both effective and efficient, adapting to the unique requirements of each vertical.

Synthetic identity detection

Advanced detection of synthetic identities

The Identity Coherence Layer includes advanced algorithms for detecting synthetic identities. By analyzing patterns and anomalies across the 16 signals, the primitive can identify attempts to create fraudulent identities, thereby protecting the integrity of the verification process.

This capability is crucial for maintaining the trustworthiness of identity verification in high-stakes environments.

Pricing

Transparent and scalable pricing model