Security teams are often dealing with more event-related data than they can possibly manage from various sources such as network appliances, firewalls and intrusion detection systems. SIEMS can by collecting, aggregating and identifying incidents and events but they require regular tuning to continually understand and differentiate between anomalous and non-anomalous activity. A SOAR platform helps security teams take things a step further by combining comprehensive data gathering, case management, standardization and analytics to help reduce alert overload and more effectively manage and measure SOC Activity.
Intelligent Case Management: Greatly reduce caseloads by working on prioritized cases from across your detection tools. Customizable Playbooks: Build customizable processes that automate everything from case enrichment to response. Machine Learning: Machine learning-based recommendations help prioritize and investigate alerts more effectively. Collaboration and teamwork: Have interactions captured in a central, searchable repository to better collaborate with stakeholders. Real-time metrics and KPIs: Track and analyze a wide range of SOC key performance indicators across people, processes and technology. Context-driven investigation: Instantly understand the who/what/when of a security incident.