SAN FRANCISCO, CA--(Marketwired - May 10, 2016) - Sift Science, the leading provider of real-time machine learning fraud detection, today announced the successful completion of the Service Organization Control Type 2 (SOC 2) audit for Security. This audit verifies compliant companies adhere to the Service Organization Control guidelines set by the American Institute of Certified Public Accountants. The audit was completed by Coalfire Controls LLC, a globally-recognized expert in cyber risk management and an independent CPA firm.

"The safety and security of our customers' data is not only an integral part of our company values, it's the crux of our business and value proposition. Considerations like strong access controls, regular third-party security assessments and robust code reviews are a crucial part of our operations," said Fred Sadaghiani, CTO at Sift Science. "We want to grow our business in step with our customers' businesses. Independent validation of our controls, through forms like the SOC 2 Type 2 assessment, corroborate our security measures and constantly build on our customers' trust in Sift Science."

The SOC 2 audit process investigates how a company organizes its system controls to ensure security, availability, process integrity, confidentiality and privacy. The certification provides assurance to Sift Science and its customers that the company has designed and implemented effective controls to protect customer information and the Sift Science application.

"We know our customers invest a lot in making sure their data stays safe, and finding technology partners with that same commitment isn't easy," said Jason Tan, co-founder and CEO of Sift Science. "Obtaining SOC 2 certification matters to our customers, and therefore it matters to us. We have to be responsible stewards of the data they entrust us with. After all, we too are citizens of the internet. We're not just professionally but also personally invested in the issue of safety and trust online."

About Sift Science
Sift Science is the leading provider of real-time machine learning fraud prevention for online businesses across the globe. Every day, thousands of websites and apps rely on Sift Science to eliminate fraud and abuse, streamline and automate fraud-prevention workflows and provide legitimate users with a seamless experience. Launched in 2011, Sift Science is headquartered in San Francisco, California. Visit us at and follow us on Twitter @SiftScience.