Visual link analysis with Splunk and Gephi

As cyber-security risks and attacks have surged in recent years, identity fraud has become all too familiar for the common, unsuspecting user. You might wonder, “why don’t we have the capabilities to eliminate these incidents of fraud completely?” The reality is that fraud is difficult to characterize as it often requires much contextual information about what was occurring before, during, and after the event of concern in order to identify if any fraudulent behavior was even occurring at all. Cyber-security analysts therefore require a host of tools to monitor and investigate fraudulent behavior; tools capable of dealing with large amounts of disparate data sets. It would be great for these security analysts to have a platform to be able to …

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