PwC UK, the professional services firm, has agreed a joint business relationship with Featurespace, the adaptive behavioural analytics risk prevention company, to provide client organisations with advanced technology to combat real-time financial crime attacks.
TSYS (NYSE: TSS), in conjunction with Featurespace, announced a new fraud prevention product today, called TSYS Foresight Score with Featurespace.
goHenry, the UK's first fully digital family banking solution designed to help young people manage their money, has appointed Featurespace, the leading machine learning Adaptive Behavioural Analytics fraud prevention company, to safeguard customers’ accounts and reduce fraudulent transactions.
Featurespace, the world-leading Adaptive Behavioural Analytics fraud prevention company, has entered into an agreement with CashFlows, the fast-growing, innovative provider of merchant payment solutions, to deliver an embedded enterprise fraud and risk management solution.
Sean Neary has joined Featurespace as a Subject Matter Expert in Financial Services risk management.
Featurespace — a global leader in machine learning fraud prevention using Adaptive Behavioural Analytics, has raised $9 million (£6.2 million) from a funding round led by TTV Capital — the leading US-based early stage financial services technology venture capital firm.
TSYS (TSS), today announced an agreement with Featurespace, a global leader in adaptive behavioral analytics, that will reduce fraud for its clients with a revolutionary machine learning software platform — the ARICSM engine — that monitors every individual — one customer at a time — to deliver real-time decision capabilities.
Zapp today announces a partnership with Featurespace, the global leader in adaptive behavioural analytics, which will ensure that Zapp is at the forefront of fighting payment fraud.
IG, the world's leading provider of financial spread betting and CFD trading, has selected Featurespace as its partner to gain greater insight into the causes of client activity and lapsing.
© Finextra Research 2017