Company Database - Riskified

Fraud Prevention & Chargeback Fraud Protection

Riskified is on a mission to empower businesses to realise the full potential of ecommerce by making it safe, accessible, and frictionless. Leveraging machine learning that benefits from a global merchant network, our next-generation platform identifies the individual behind each online interaction, helping merchants eliminate risk and uncertainty from their business.

Year founded 

2012

Website

www.riskified.com

Target group 

Merchants/ecommerce

Supported regions 

The US, Europe, APAC, LATAM, China

Contact 

hello@riskified.com

Member of industry association and/or initiatives

Home Furnishings Association, IATA, MRC Global, AMVO, RILA, FinTech Australia, MAG

Core solution

Card-not-present fraud, Friendly fraud, Account takeover, Policy abuse (refunds abuse, returns abuse, reseller/reshipper abuse, promo abuse), Chargebacks disputes for all reason codes, Chargeback management, Payment optimisation, Direct debit fraud, BNPL fraud.

Core solution/problems the company solves

Riskified helps companies grow their online business by reviewing and approving transactions while preventing fraud, preventing policy abuse, stopping account takeovers, and turning wrongly declined payments into revenue. 

Technology

Native cloud

Data input

Identity verification 

  • Personally Identifiable Information (PII) validation proprietary capability

  • Email verification proprietary capability

  • Phone verification proprietary capability

  • Social verification proprietary capability

Online authentication 

  • Behavioural biometrics proprietary capability

  • Device fingerprinting proprietary capability

  • Geo-location proprietary capability

  • Remote access detection proprietary capability

  • Mobile app push proprietary capability

  • One-time passwords proprietary capability

Intelligence

  • Abuse list proprietary capability

  • Monitoring proprietary capability

Data ingestion/third-party data

Stateless data ingestion and augmentation

Methodology

Machine learning 

  • Supervised ML

  • Unsupervised ML

  • Rule-based

Decisioning

Decision orchestration

Chargeback management

Guaranteed fraud and friendly fraud protection, automatic chargeback dispute (all reason codes)

Business model

Pricing model 

Pricing is per transaction and based on volume for fraud and policy, with added flat costs for additional chargeback management capabilities

Fraud prevention partners

Our partner programmes are designed to give agencies, technology providers, and financial institutions access to our next-generation risk management platform so they can help their clients sell more and improve customer experience, while eliminating fraud. By combining our deep expertise in fraud management with our partner’s established client engagement models, together, we enable ecommerce merchants to increase revenues by safely accepting more orders.

Number of employees 

750+

Customers

Customers reference 

GoPro, Wish, REVOLVE, Finish Line, Agoda, The Level Group, Peloton, Canada Goose, Trip.com, Acer, Wayfair, Lastminute.com, Brooklinen, Steve Madden, Ring, Aldo, Air Europa, Giftcard.com, Movado Group, Prada, Farfetch, Swarovski, Geox, Megabus.com, Kiko Milano, eSky, MVMT