Average corporate security organization on average spends $18 million annually on corporate security. However, it is largely ineffective in preventing breaches, IP theft and data loss. Any guesses why? It is because malware and cyber threats evolve faster than data security tools.
The cyber security landscape is constantly evolving, faster than you can ever think. The solutions providers are striving to address data management and cyber security challenges with simple and user-friendly solutions. SIEM data lake or security data lake, which is currently the buzzword in the cyber security world is one such solution.
Centralizing data has emerged as a great challenge in modern security programs as data continues to grow and evolve in size, shape and format. SIEM (Security Information and Event Management) vendors are trying to offer their customers cloud-like agility and ease of access in SIEM software solutions. As a result, SIEM Data Lake (SDL) solution is born.
How is SIEM data lake different from traditional SIEM solutions?
Data is not just growing in volumes. It is also growing in complexity and dimensionality. Additionally, there are countless monitoring platforms and devices in an IT environment. Traditional SIEM software solutions can analyse petabytes of data in on-premises infrastructure. However, it falls short when it comes to analysing exabytes of logs, events and constantly growing data in hybrid cloud environments.
To ensure cyber security, SOCs today needs rapid access to data. But the velocity and variability of data sets are so enormous that they can overwhelm the analyst. It requires a fresh approach to address this issue.
A SIEM data lake is a centralized repository that can maintain and manage logs and data sources that are important for the organization’s cyber security. Just like a data lake with a huge appetite for data ingestion, SIEM data lake too can ingest data from a plethora of sources and integrate it with security analytics tools. As a result, what you get is a single place where security data can be stored, searched and utilized.
Why do you need a SIEM data lake?
The data deluge is a huge problem. Every single day, organizations generate an enormous amount of fresh data. If left unmonitored, it can pose a cyber threat to the organization’s data security. Traditional SIEMs are not designed to handle data of this scale. As a result, security teams struggle to derive insights from the available data.
SIEM data lake is a SIEM platform that centralizes data from on-premise, cloud and SaaS environments. This helps analysts in detecting threats in a constantly growing IT environment and responding to sophisticated attackers.
Read More: Say Goodbye to Tradition SIEM and Welcome to Data Lake
