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During the last few penetration testing conducted for certain organizations, we have discovered a surprising fact that almost all the SIEM implementation had gaps on the implementation levels. For example, in certain cases, SIEM did not even detect

Demystifying Security Analytics: Data, Methods, Use Cases

Many vendors sell “security analytics” tools. Also, some organizations built their own security analytics toolsets and capabilities using Big Data technologies and approaches. How do you find

Short of resources, but still want to have a strong IT-security ecosystem? There are multiple tools in the market specially for small to medium enterprises who can use these open source tools. Although, they can't match the capabilities as provided b

Author - Anil Upadhyay, DM - ITGS, ITSD, Gujarat Gas Limited

We have listed a Key Parameter are required for Security Incident and Event Management and The Framework was attached at the end.

Major Parameters To Consider :

1. Ability to identify non

With Big Data and Behavior Analytics advances, the need of an SIEM at the enterprise level may be a question. This question is addressed in this report. It analyses, dissects and tries to find out the pros and cons of both sides.

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One of the most common questions I received in my analyst years of covering SIEM and other security monitoring technologies was “what data sources to integrate into my SIEM first?”

And of course the only honest answer to this question is: it depen

Current Project Synopsis:

• Responsible for Information Security of next generation mobile and fixed broadband networks (LTE/WiFi/FTTx) with All-IP networks over a cloud based framework for B2C/B2B markets connecting 200 Million 4G LTE, 50 Million W