Sift Science

Sift Science fights fraud with machine learning. Machine learning teaches a computer to mine data for statistical patterns, and continuously learn and adapt as new data streams in. With simple APIs that take minutes to integrate, an online business can leverage the latest in large-scale machine learning to protect themselves from fraud. Online businesses send Sift Science user events, which are mined for identity, behavioral, and network patterns that correspond to past fraud. Sift Science also pools fraud patterns across its network of customers. The network strengthens as more data streams in.
Company Growth (employees)
Type
Private
HQ
San Francisco, US
Founded
2011
Size (employees)
124 (est)+7%
Sift Science was founded in 2011 and is headquartered in San Francisco, US

Key People at Sift Science

Jason Tan

Jason Tan

CEO
Fred Sadaghiani

Fred Sadaghiani

CTO
Karen Tsay

Karen Tsay

Head of Business Operations
Bill Hodak

Bill Hodak

Head of Marketing
Thomas Schiavone

Thomas Schiavone

Head of Product
Zeeshan Yoonas

Zeeshan Yoonas

Head of Sales
Toshinari Kureha

Toshinari Kureha

Head of Engineering
Liz Young

Liz Young

Director of People Operations

Sift Science Office Locations

Sift Science has an office in San Francisco
San Francisco, US (HQ)
123 Mission St

Sift Science Data and Metrics

Summary Metrics

Sift Science's latest funding round in July 2016 was reported to be $30 m. In total, Sift Science has raised $53.6 m

Traffic Overview of Sift Science

Sift Science Online and Social Media Presence

Sift Science News and Updates

113 enterprise AI companies you should know

GUEST: Enterprise companies comprise a $3.4 trillion market worldwide of which an increasingly larger share is being allocated to artificial intelligence technologies. By our definition, “enterprise” technology companies create tools for workplace roles and functions that a large number of businesse…

The AI In Fintech Market Map: 100+ Companies Using AI Algorithms To Improve The Fin Services Industry

Check out even more content at Future of Fintech 2017. Use code “FoFInsights” to get $1000 off your ticket. Funding to AI startups reached record highs in 2016 and applications for artificial intelligence technologies exist across nearly the entire spectrum … Continued

5 Startups Using Machine Learning And Behavioral Biometrics To Fight Fraud

Machine learning and behavioral biometrics are emerging as powerful tools to fight fraud in online transactions. These tools are helping organizations from banks to e-commerce platforms get better at hunting down those who seek to benefit from faking their identity … Continued

Cybersecurity’s Next Step: Artificial Intelligence Is Helping Predict, Prevent, And Defeat Attacks

Cybersecurity companies are increasingly looking to artificial intelligence tech to improve defense systems and create the next generation of cyber protection. Two developments are driving this trend: First, the demand for cybersecurity professionals is outstripping the supply of qualified personnel…

Investors Pull Back On Dollars To Identity And Access Management Startups

Cybersecurity companies that offer Identity and Access Management (IAM) solutions have raised $362M across 34 deals year-to-date (10/18/2016). Those numbers are well off the peak in dollars and deals that these companies witnessed in 2014. The trend in IAM funding … Continued

Internal expense fraud is next on machine learning’s list

 We know machine learning is already proving its worth in the financial services sector, so there’s no reason why it can’t lend a hand to enterprise technology. And more specifically, the process that time forgot — the tedious expenses process. Read More
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Sift Science Company Life and Culture

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