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Many SIEM technologies don't scale well due to relational database constraints, complicated rule sets and distributed architecture.
The same problems of scale also plague leaders wishing to gain value quickly from SIEM investments, which typically require a lot of billable hours from an army of consultants to show a return.
Even the 'affordable' SIEM solutions can kill the bottom line through a death by a million cuts, requiring investments that some project managers don't account for on the front end.
Even after investing heavily in SIEM, organizations are quickly disillusioned when they realize they still must manually assemble reports for each new audit.
Administrators are left with a blind spot by SIEM solutions that include an 'off switch' for logging that offers no visibility when it has been triggered.
Inversely, too many SIEM tools depend too much on log data, which by itself cannot detect the low-and-slow attacks perpetuated today.
Ineffective SIEM tools fail to examine flow data for tell-tale trails of attack evidence.
Event management systems that fail to 'listen' for configuration changes are giving up on the chance of hearing one of the loudest symptoms of malware.
Overly simplistic data correlation techniques hamper many SIEM tools from effectively visualizing data relationships in order to quickly identify wide scale attacks.
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