Posts Tagged ‘fraud’

Machine Learning Part Of New Versium Solution To Quickly Find Fraudsters

versiumMachine learning is playing a role in fraud prevention: This week Versium launched its Predictive FraudScore solution to help companies weed out fraudsters from signing up for their services or conducting ecommerce transactions with them. All the organization needs is an email address.

The solution is based on Versium’s LifeData predictive analytics platform that also is behind the company’s churn, social influencer, shopper and custom scoring products. “There are three fundamental areas we bring to fraud scoring: unique data, powerful matching technology to identify and associate that data to accounts or consumers as they sign up, and applying machine learning to that unique data set to predict whether that account is likely to be associated with fraud or not,” says Versium’s CEO Chris Matty.

The FraudScore service provides an enterprise a very strong indication of whether a person is legitimately interfacing with it at the point in time that that entity registers with the company. “That’s quite upstream from where normal fraud prediction takes place,” Matty says.

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Riskified Helps Stop E-Commerce Fraud with ‘Semantic Risk Engine’

Carmel Deamicis of Pando Daily reports, “Dr. Eyal Kishon, co-founder of Israeli based venture capital firm Genesis Partners, had a very personal reason for investing in Riskified, a startup that fights fraud for e-commerce sites. He kept getting rejected when he’d try to buy things online. Merchants would occasionally flag him as a “risky” purchase — perhaps because he lived in Israel and American stores can’t fact-check international addresses through the Address Verification System (AVS). Israeli startup Riskified, which recently raised a $1.65 million seed round, thinks its “semantic risk engine” is the answer. The technology builds a story around the shopper that ties together two types of information — the transaction information (where the person’s shipping address and billing address are, what proxy server they’re hiding behind, etc) and publicly available information about the person online. That way, they can more accurately predict which online shoppers are fraudsters and which are legitimate.” Read more

The Semantic Link – Episode 9, August 2011

Paul Miller, Bernadette Hyland, Ivan Herman, Eric Hoffer, Andraz Tori, Peter Brown, Christine Connors, Eric Franzon

On Friday, August 12, a group of Semantic thought leaders from around the globe met with their host and colleague, Paul Miller, for the ninth installment of the Semantic Link, a monthly podcast covering the world of Semantic Technologies.

In this episode, they were joined by special guest Steve Harris, CTO of Garlik, a UK-based company focused on prevention of identity theft and financial fraud.*

Steve Harris photo Steve Harris
CTO
Garlik

* On Sept. 26, Steve will present, “Combating Online Crime with RDF” at SemTechBiz UK
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