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BioCatch launches data-scanning Connect solution to prevent fraud

By Gloria Methri

August 09, 2023

  • AML
  • Anti-Fraud Solutions
  • Behavioural Biometrics
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BioCatch, AML, Anti-Fraud Solutions, BioCatch Connect, Fraud Detection, Data Scanning, UKBioCatch has launched a new version of its anti-money laundering platform with the company’s behavioural biometrics technology at its core. Dubbed ‘BioCatch Connect‘, the platform applies AI to analyse data from a range of sources, including applications, devices, networks, and more.

Unlike legacy fraud detection solutions, the platform puts behavioural biometric intelligence at the centre of its artificial intelligence and machine-learning models rather than as a secondary signal.

BioCatch Connect is comprised of three telemetry collection, signal sequencing, and visualisation modules. These together intelligently source, link, and analyse real-time behavioural biometrics intelligence in contextual progression with thousands of application, device, network, and transactional signals to deliver curated, real-time fraud interdiction, response, and investigative guidance to fraud and AML teams.

The fraud telemetry layer uses a lightweight mobile and web SDK to continuously collect thousands of signals from five distinct data sources, including applications, user behaviours, devices, networks, and transactions from each session.

BioCatch’s Continuous Behavioural Sequencing™️ (CBS) technology leverages advanced cognitive human behavioural science, data modelling, and machine learning algorithms to parse, match, analyse, coalesce, and score every element of data collected by the Fraud Telemetry Collection module.

The Predictive Intelligence module sits atop Continuous Behavioural Sequencing technology to structure and visualise dynamic user risk scores as actionable intelligence fraud, AML, and cyber can use to monitor, investigate, and interdict potential fraudulent user activities and sessions.

Gadi Mazor, CEO of BioCatch said, “BioCatch Connect delivers a new generation of intelligence and visualisation tools, data science models, and machine learning engines to interdict the exploitation of human kindness, emotion, greed, naivety, and trust. As a fraud-fighting community, we have the opportunity, capability, and duty to fight fraud by sharing, learning and going on offence together. We have designed, built, and tested BioCatch Connect to be the solution to accelerate this collaborative industrial journey.”

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