Security analytics is a proactive approach to cybersecurity that uses data collection, aggregation and analysis capabilities to perform vital security functions that detect, analyze and mitigate cyberthreats. Security analytics tools such as threat detection and security monitoring are deployed with the aim of identifying and investigating security incidents or potential threats such as external malware, targeted attacks and malicious insiders. With the ability to detect these threats at early stages, security professionals have the opportunity to stop them before they infiltrate network infrastructure, compromise valuable data and assets, or otherwise cause harm to the organization.
Security analytics solutions aggregate data from numerous sources that include endpoint and user behavior data, business applications, operating system event logs, firewalls, routers, virus scanners, external threat intelligence and contextual data, among other things. Combining and correlating this data gives organizations one primary data set to work with, allowing security professionals to apply appropriate algorithms and create rapid searches to identify early indicators of an attack. In addition, machine learning technologies can also be used to conduct threat and data analysis in near real time.
This article explores the features and benefits of a security analytics platform, the most significant security threats to your organization, various security approaches, and how security analytics can help you proactively prevent attacks and keep your environment safe.