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WHAT WE DO
Splunk
Any work related to Splunk. We know how to design the architecture, properly install the system, configure and maintain it, and monitor its condition. Or how to take a broken system and resurrect it from any state.
From global anti-fraud systems in banks to data processing systems in startups. There is no problem that we have not yet faced and solved.
Security
We know how to set up security monitoring for all popular use cases: Clouds, Applications, Operating systems, Compliance and others.
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We implement SIEM, configure it, connect any data sources, develop correlation rules, set up custom analytics. We have the expertise to evaluate security metrics and build security intelligence & risk assessment systems.
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Fraud Prevention
We build complex fraud prevention systems that protect against ATO, payment, promotional codes, and affiliates fraud. We consider scoring not only for bank cards or users but also for devices, IP addresses, and other metadata.
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Our algorithms evaluate user behavior and the connections of different users with each other and can detect bots and anomalous users.
ABOUT US
Cyberable was founded in 2020 by practicing security experts specializing in Security Monitoring and Big Data systems. We are huge fans of Splunk and how fast it can solve any data processing and analysis cases.
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Due to our background, our primary expertise in data analysis is security event monitoring (SIEM) and response. We know exactly how to set up and maintain security monitoring with small resources, improve it and show the value of security analysis to the business. Our portfolio has successful cases of implementing and setting up SIEM systems for compliance, cloud monitoring, auditing, vulnerability management, and various security analytics.
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Since security and fraud monitoring are very similar and often use the same tools and methods, we also accumulated good expertise in Fraud Prevention. So, we try to use approaches and best practices taken from security to defend against Account Takeover, Payments, Cards, Bots, Affiliates, and Promo fraud cases.