The complete record of every verified identity

An identity risk profile is a score from 0 to 100, grouped into four bands: Low, Medium, High, and Very High, that summarizes the risk associated with an identity at a specific point in time.

It is calculated using named signals such as device, network, and behavioral indicators, with every score adjustment fully explained. The score summarizes the status, while the profile preserves the reasoning behind it.

KYC (Know Your Customer) is the snapshot taken on day one. It verifies who the individual is at onboarding.

The profile is the case file that develops afterwards, session by session, capturing the history, risk indicators, and evidence associated with that identity. The KYC verification becomes the first chapter of that broader record.

The score is based on how current activity compares to the established pattern of an identity across device, location, network, timing, and behavioral dimensions.

When a deviation is detected, a named alert is triggered and the score is updated accordingly. This structure makes every risk assessment fully explainable and defensible during audits, because every score change has a traceable cause.

These are two distinct dimensions that are often confused.

Risk measures the level of threat present at a given moment.

Maturity measures how well the platform understands an identity’s behavioral pattern, using three states: Insufficient, Learning, and Stable.

Together, they help distinguish between an unknown identity presenting a concerning signal and a well-established customer behaving outside their normal pattern.

The profile exists from the very first verification event and provides risk visibility from day one.

Maturity indicates how much behavioral context exists behind each signal. During the early stages, it may display Insufficient or Learning, enabling analysts to factor that context into their decisions.

The learning process and representative scenarios are demonstrated during the product demo.

Yes.

The timeline links every event, including login, device identification, network establishment, and integrity verification, to its original verification operation.

In the event of a dispute or regulatory review, cases can be reconstructed directly from the profile without reopening investigations across multiple systems. This level of traceability supports both standard and enhanced due diligence requirements.

The profile displays signed consents and associated privacy requests for each identity and supports export in a fully traceable package.

Data retention periods are configured according to the regulatory requirements of each market, including frameworks such as SARLAFT compliance in Colombia and CNBV compliance in Mexico.

The profile is powered by signals already generated within the platform, including identity verification, device intelligence, and behavioral biometrics.

It consolidates those signals into a single record. It does not replace existing detection tools or require organizations to rebuild existing integrations. The specific scope is reviewed during the discovery session.

Yes.

Identity data can be exported as a traceable package designed to support data subject access requests, audit inquiries, and compliance processes, with evidence linked to its original verification source.

Yes.

The solution can be deployed on on-premises Kubernetes, private cloud, or SaaS, just like the rest of the Facephi platform. Data residency remains within the perimeter required by your regulator.

Implementation timelines depend on the selected deployment model and on which platform signals are already active.

A precise estimate is provided during the technical discovery session.

The pricing model separates licensing and integration services and varies according to identity volumes and deployment requirements.

Detailed pricing is shared during the demo based on your specific scenario and business metrics.