Compare Fasoo RiskView vs. Splunk User Behavior Analytics in 2026

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Description

Identify and flag any files or user behaviors that present a significant risk warranting attention from business management. This user and entity behavior analytics (UEBA) system employs advanced, rule-driven modeling to analyze various data sources, helping to identify established behavioral norms and detect potentially harmful activities. By conducting thorough analysis, it can significantly lower the risk of insider threats, which are notoriously hard to identify due to the insider's familiarity with security protocols and their ability to circumvent them. Monitor for abnormal events, such as logins from user accounts belonging to former employees, users logging in from multiple locations at once, or unauthorized individuals accessing an excessive number of sensitive documents. Additionally, keep an eye on file-related risks, including unauthorized attempts to decrypt confidential information. User-specific risks should also be observed, such as an increase in the frequency of file decryption, an uptick in printing after business hours, or a rise in the number of files sent to external parties. Overall, this comprehensive approach aims to enhance organizational security by proactively identifying potential threats.

Description

Protecting against unseen dangers through user and entity behavior analytics is essential. This approach uncovers irregularities and hidden threats that conventional security measures often overlook. By automating the integration of numerous anomalies into a cohesive threat, security analysts can work more efficiently. Leverage advanced investigative features and robust behavioral baselines applicable to any entity, anomaly, or threat. Employ machine learning to automate threat detection, allowing for a more focused approach to hunting with high-fidelity, behavior-based alerts that facilitate prompt review and resolution. Quickly pinpoint anomalous entities without the need for human intervention. With a diverse array of over 65 anomaly types and more than 25 threat classifications spanning users, accounts, devices, and applications, organizations maximize their ability to identify and address threats and anomalies. This combination of human insight and machine intelligence empowers businesses to enhance their security posture significantly. Ultimately, the integration of these advanced capabilities leads to a more resilient and proactive defense against evolving threats.