Today’s threat landscape poses significant challenges for security teams. Analyzing data noise, trying to gain visibility across hybrid, cloud and on-premises environments, while being inundated with vast amounts of data from various security and IT sources can become overwhelming. It’s difficult to prioritize major vulnerabilities before they escalate, while addressing minor security issues at the same time. Turning volumes of raw data into actionable insights is key.
Lack of context makes threat detection even harder. According to the SANS Institute 2023 SOC Survey, the primary obstacle to a SOC’s success is the immense lack of context related to security events. With the large number of alerts that analysts must take action on, it can be challenging to distinguish high-priority threats without it. Plus, an estimated average of 41% of alerts are ignored because analysts don’t have the bandwidth.
Security teams are also burdened with managing up to 25+ different security tools for actions across detection, investigation and response. As a result, analysts spend an average of three hours on alert investigations. Risks today include detecting sophisticated AI-driven threat campaigns, as well as ensuring compliance with evolving regulations across geographies
All of this makes it difficult for organizations to draw insights from and take action on their data — it’s too time consuming and resource intensive. A security information event management (SIEM) solution that allows you to access data-driven insights, combat threats, mitigate risk at scale and includes ML-powered analytics you can act on is the answer