Abstract
As evident in today’s complex world, there are diverse, complex, and large-scale cyber threats, which require a change in organizational approaches to protection. Security Operations Centers (SOCs), are the first defense in the cybersecurity domain, and for a long time, relied on the reactive defense model where the security teams reacted to security incidents as and when they happened. This paper aims at identifying the changes in the design of the SOCs, specifically on the transition from reactive to proactive Security models.
The abstract gives a detailed description of the evolution of traditional SOCs that were developed to detect known threats and threats with known signatures such as firewalls and antivirus which posed issues in handling new and complex threats. This paper explores these factors and underscores how AI and machine learning, as well as other progressive technologies, can support a proactive approach. The change in the landscape comes from the innovation in technologies such as XDR, real-time threat intelligence, behavioral analytics, and Zero Trust architectures.
Moreover, the paper outlines how the SOC model type of proactive has the advantages of better threat identification, faster reaction time to cases and increased organizational readiness.This paper emphasizes the importance of proactive SOC strategies in modern cybersecurity and how they represent a crucial shift in defending against increasingly complex cyber threats.
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