Big Data Security Analytics Meets IAM
While most enterprise organizations have SIEM installed, they now realize that these venerable security systems cannot address today’s dangerous threat landscape alone. As a result, many are adding network forensics and big data analytics systems for capturing, processing, and analyzing a whole bunch of additional security data.
In the majority of cases, big data security analytics systems are applied to data such as network packets, packet metadata, e-mails, and transaction systems to help security teams detect malware, phishing sites, and online fraud. Great start, but I’m starting to see another burgeoning focus area – IAM. Of course, many large organizations have IAM tools for user provisioning, SSO, and identity governance, but tracking all the instantiations of user activity remains elusive. In a recent ESG research survey, security professionals were asked to identify their weakest area of security monitoring. More than one-quarter (28%) pointed to “user behavior activity monitoring/visibility,” – the highest percentage of all categories.
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