World Class Expertise in Threat Actor Detection:

Experts in AI enabled threat actor identification, sleeper cells, fraud, advanced risk decisioning
300+ patents in linkage analysis, risk decisioning, payments, & threat detection
IP underpins majority of security systems behind daily personal payments and transactions
As global networks and threat contexts become dominated by electronic signals, DeepDecision® enables a World State for threat detection and system monitoring

Partners & Clients:

Largest payers in the world across public and private sectors
Deep experience analyzing and preventing successful threat actor behavior for Visa, Mastercard, global financial institutions
Proven mission value executing counter illicit & threat finance with Treasury (IRS), Secret Service, Health & Human Services (CMS)

Chief Executive Officer & Co-Founder

At Booz Allen Hamilton, Scott created and deployed advanced SIGINT tech for DoD and IC customers. He later founded Visa Labs, where his team developed innovative solutions using disruptive tech to better serve the payments ecosystem
2019 Golden Bridge Award for AI Company of the Year

Chief Science Officer, Co-Founder

Pat’s distinguished career spans 3+ decades of Integrating Cutting Edge AI into full production in the Payments, Defense, & Intel sectors
Globally all consumer devices and authentication systems use risk based technology that Pat has created
Pat holds 200+ patents, in areas of machine intelligence, risk, and analytics

VP, Head of Public Sector

Mike has spent his career adapting innovative technology to the public sector, both inside and outside of government
Mike has extensive experience integrating complex signals into modern weapons platforms

Rules based behavioral analysis fails to accommodate real-time changing macro context, produces static analysis

Traditional AI/ML solutions require thousands of rules, result in quickly decaying signals

Aggregate signal noise and false positives overburden investigative resources

Persona Based Intelligence™ adds contextual layers to user data, produces dynamic analysis by accounting for real world events

Technological breakthrough enables extraction of real-time signals and anomalies not typically identified

Enhanced signal ID and false positive reduction improves mission execution, resource allocation, and widens COA aperture

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