An Intelligent, New Approach to Old Cybersecurity Challenges

How to Optimize SIEM Performance With Threat Intelligence and IOC Matching


The nature of information technology is such that it is always expanding and being innovated at a pace that can be daunting to keep up with. The cybersecurity market in particular is constantly updating itself with the development of new technologies, methodologies, and best practices to deal with equally evolving cyberthreats. The security challenges faced by enterprise clients, however, have changed very little over the past couple of decades. They still want better visibility into the threats targeting them, they still struggle with data overload, and they still suffer from a shortage of human resources. The question is, why do these challenges still exist despite the progress we’ve made in establishing security standards and building better technologies?


Challenge 1: Integration


By taking a closer look at the cybersecurity deployments amongst large corporations, I have spotted some trends that lead to these challenges. Most of the enterprise clients I assist have many different security products in their environment. They address different use cases but are rarely cross-integrated. You could call these clients’ infrastructures ‘heterogenous’, given how the technologies and staff using them are effectively siloed. These silos slow down cross-communication, hinder response attack times, and leave legacy systems overlooked and often under-utilized.


Challenge 2: Data Overload, Staffing Shortfall


The advent of SIEM1 technology in the early 2000s has been a positive game changer for the cybersecurity industry. It also put a glaring spotlight on security challenges. When properly configured and manned, SIEMs keep users aware of all kinds of malicious activity occurring within their networks. However, ever-expanding IT environments mean ever-expanding log volumes, which require more storage space, more processing power, and more analysts to triage the high number of alerts t ..