MixMode Whitepaper
The Data Overload Problem in Cybersecurity
The very nature of data is its infinite capacity for growth. For security teams at large, highly integrated and complex enterprises like financial services institutions, that growth can quickly become unwieldy when the approach is to store, normalize and prepare all of this data in order to extract value. The result is a virtually endless cycle of data overload for SOC and NOC engineers and analysts paired with privacy regulations like GDPR and CCPA. But there is a solution.
In this MixMode Whitepaper, we’ll dive into the data overload problem plaguing the cybersecurity industry and uncover how organizations can greatly reduce or even completely eliminate many of these challenges by adopting an AI-driven solution to analyze network behavior in the context of current data while meeting compliance and regulatory requirements.
Download the MixMode Whitepaper
MixMode Whitepaper: The Data Overload Problem in Cybersecurity
The very nature of data is its infinite capacity for growth. For security teams at large, highly integrated and complex enterprises like financial services institutions, that growth can quickly become unwieldy when the approach is to store, normalize and prepare all of this data in order to extract value. The result is a virtually endless cycle of data overload for SOC and NOC engineers and analysts paired with privacy regulations like GDPR and CCPA. But there is a solution.
In this MixMode Whitepaper, we’ll dive into the data overload problem plaguing the cybersecurity industry and uncover how organizations can greatly reduce or even completely eliminate many of these challenges by adopting an AI-driven solution to analyze network behavior in the context of current data while meeting compliance and regulatory requirements.