How can an enterprise determine aggregated risk from several sources?

Using a security information and event management (SIEM) system is highly effective for aggregating risk from multiple sources within an enterprise. SIEM systems collect and analyze security event data across the organization in real-time, correlating information from various logs, alerts, and intrusion detection systems. By centralizing this data, SIEM enables organizations to identify patterns, assess vulnerabilities, and quantify risks based on a comprehensive view of security incidents.

This holistic approach to monitoring potential threats allows for informed decision-making and prioritization of security measures, ultimately aiding in the formulation of a robust risk management strategy. In addition to risk aggregation, SIEM systems also facilitate compliance monitoring and threat intelligence integration, enhancing the overall security posture of the enterprise.

Other methods, while valuable in their contexts, do not focus primarily on synthesizing risk data from diverse sources in the same way a SIEM does. For instance, fault tree analysis and failure modes and effects analysis are more related to understanding and dissecting the causes of specific failures rather than providing an overarching view of risk across an enterprise. Similarly, a business impact analysis is concentrated on identifying the effects of disruptions on business operations and thus does not aggregate risk from security incidents in a comprehensive manner like a SIEM system does.