Kaspersky Enterprise Cybersecurity

Kaspersky
Fraud
Prevention

Advanced technologies empoweredby Machine Learning for real-timecross-channel fraud detection
Businesses have already gone far beyond traditional services providing theircustomers with access to their personal accounts via online channels and mobiledevices. Digital transformation brings new opportunities, customers and ofcourse, more revenue. On the other hand, it opens the doors to fraudsters withnew sophisticated schemes and cross-channel attacks both on the user’s deviceand account.

New Account Fraud

Account Takeover

Tools for Fraud
Automation

Transaction Tampering

Attacks with Remote
Administration Tools

Malware and Phishing

Kaspersky Fraud Prevention uses a range of advanced technologies with Machine
Learning applied for proactive detection of sophisticated fraud schemes across
web and mobile channels, in real-time, before the transaction occurs.

Sessionand Device
Statistics

Mobileand Web
Channelprotection

Machine Learning
ClientlessMalware
Detection

BehaviouralAnalysis

Device andEnvironment
Analysis

Behavioural
Biometrics

Clientless Malware Detection checks if the customer’smachine is infected with malware without any additional
software needing to be installed on the user side. This
information is used to determine the legitimacy oftransactions, as well as for risk based authentication andmachine learning modelling.

Behavioural Analysis looks at the user’s activity during thelogin and session, analysing the typical navigation and time
patterns, how the user acts in the personal account, what heclicks and more. This data allows profiles of normal behaviour
to be built and any abnormal or suspicious activity during thelogin and the whole session to be detected.

Behavioural Biometrics. analyses your unique customer’sinteraction with their device, like mouse movements, clicks,touches, swipe speed and more to detect whether a device
is being used by a legitimate user or not. This technology
can also be used to detect bots and remote administration
tools.

Device and Environment Analysis leverages the global
presence of Kaspersky Lab to identify “good” devices and use
this knowledge for user authentication. Based on global
device ID, IP-address, location reputation and more any
attribute marked as involved in fraudulent activity is also
proactively detected and shown as suspicious or related tofraud.

ClientlessMalware
Detection

Behavioural
Biometrics
Kaspersky Fraud
Prevention Cloud

BehaviouralAnalysis
DeviceandEnvironment
Analysis

Machine Learning is the core part ofKaspersky Fraud Prevention Platform.
Various Machine Learning methods like
Clustering, Decision Tree Learning andArtificial Neural Networks are applied toenhance the efficiency and accuracy ofKaspersky Fraud Prevention Technologies.
This brings fraud detection to a new level,
avoiding additional authentication steps for
legitimate customers and real-timereaction in the case of fraud at any time
during the session.

Depersonalised data processed by 4 key technologies turns into real-time
verdicts within Kaspersky Fraud Prevention Cloud. Based on continuous andproactive analysis of device and session reputation across online and mobile
channels, behavioural and biometric data and other aspects, our Cloud
solution feeds your internal monitoring systems with data crucial for timely
and highly efficient fraud detection. This empowers your current systems tobenefit from the additional context for proactive and more accurate
decision-making, as well as for intelligent and adaptive use of step-up
authentication.

KEY BENEFITS:• Continuous and proactive real-time detection of advanced fraud before
transaction occurs• Multichannel fraud detection: online and mobile channels covered• Detection of fraudsters and money laundering• Improved user experience due to RBA, leading to growth and retention ofcustomer base
• Comprehensive session statistics for forensics with dedicated team support• Complements existing Enterprise Fraud Management solutions• Productivity improvements with automation

Contact us to learn more: kfp@kaspersky.com

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