Most data analysts find that only 20% of their time is spent on genuine data analysis, with the remaining 80% consumed by data cleaning and organization.
The uneven landscape of security tools creates a Sisyphean challenge for analysts, as they must pivot between tools and normalize disparate data sets, thus risking organization’s security.
With alert fatigue setting in, analysts are overwhelmed by the sheer volume of alerts and data, making it challenging to prioritize and take meaningful action.
Investment in improved data collection and centralization tools not only saves time but also empowers data analysts to focus on their primary goal: identifying and mitigating security threats.
Collection
[
|
...
]