Deep Labs

CEO Scott Edington, a former Visa SVP of Global Solution Architecture, leads the firm. Before Visa, Edington held senior technology roles in the US intelligence community. The engineering and data science leadership draws from federal law enforcement, financial crime analytics and quantitative risk modeling backgrounds. Day-to-day technical architecture is managed by a distributed team spanning San Francisco, London and Manila.

Deep Labs builds a persona — a dynamic mathematical model of an individual's behavior — rather than matching a device fingerprint or a possession factor. The system scores typing rhythm, mouse movement, swipe gestures and application-switching patterns against that persona in real time. This means the authenticity signal persists even when a user changes devices or connects from a new IP address. Device fingerprinting alone typically flags legitimate device changes as anomalies and cannot detect session-takeover after login.

Yes. In 2019 the US Department of Homeland Security's Silicon Valley Innovation Program awarded Deep Labs a contract to test its behavioral biometrics for border security and airport credentialing use cases. DHS structured the procurement under Other Transaction Authority, which requires a demonstration phase before broader deployment — the company completed that initial phase successfully (per DHS SVIP records, 2019).

In August 2021, Deep Labs announced a partnership to integrate its behavioral intelligence engine into the LexisNexis Risk Solutions stack, specifically the ThreatMetrix digital identity and fraud analytics platform. The deal made Deep Labs' persona-based scoring available to LexisNexis's customer base of financial institutions, e-commerce players and government agencies. It effectively positioned Deep Labs as an embedded capability inside a much larger distribution channel rather than a standalone authentication vendor.

Deep Labs functions primarily as an analytics and decisioning layer, not a traditional software vendor. Its core asset is the persona-based scoring model and the data pipeline that feeds it, which can be delivered via API into an institution's existing authentication flow. The partnership model with companies like LexisNexis reinforces this posture — the firm white-labels its intelligence rather than requiring customers to deploy a separate end-user application.