Splunk User Behavior Analytics and Anomali are competing products in the cybersecurity analytics space. Anomali is seen as having the upper hand in features comparison due to its comprehensive threat intelligence capabilities, although Splunk offers competitive pricing and support, which many customers favor.
Features: Splunk User Behavior Analytics provides real-time monitoring, anomaly detection, and supports security operations centers focused on immediate threat identification. Anomali offers advanced threat intelligence, extensive threat analysis, and integrates well with existing security systems. Anomali's features are more detailed, appealing to those valuing intelligence over real-time detection.
Ease of Deployment and Customer Service: Splunk User Behavior Analytics ensures a streamlined deployment and consistent customer service, which is beneficial for organizations seeking rapid implementation. Anomali requires more involved integration but provides comprehensive support and dedicated customer service.
Pricing and ROI: Splunk User Behavior Analytics offers competitive setup costs, making it attractive to those with budget constraints, and delivers a solid ROI given its efficient anomaly detection. Anomali, with a potentially higher upfront cost, is seen to offer higher ROI through enriched data analysis and threat intelligence features.
Anomali delivers advanced threat intelligence solutions designed to enhance security operations by providing comprehensive visibility into threats and enabling real-time threat detection and management.
Anomali stands out in threat intelligence, offering an innovative platform that integrates data to identify and analyze threats effectively. It enables teams to streamline threat detection processes and respond to incidents with increased agility. With a focus on accuracy and efficiency, Anomali supports cybersecurity professionals in making informed decisions to safeguard their networks consistently.
What are Anomali's core features?In industries like finance and healthcare, Anomali is implemented to address specific challenges like compliance and data protection. By using this platform, organizations gain the ability to adapt to evolving threats, ensuring robust and adaptable security postures tailored to industry demands.
Splunk User Behavior Analytics is a behavior-based threat detection is based on machine learning methodologies that require no signatures or human analysis, enabling multi-entity behavior profiling and peer group analytics for users, devices, service accounts and applications. It detects insider threats and external attacks using out-of-the-box purpose-built that helps organizations find known, unknown and hidden threats, but extensible unsupervised machine learning (ML) algorithms, provides context around the threat via ML driven anomaly correlation and visual mapping of stitched anomalies over various phases of the attack lifecycle (Kill-Chain View). It uses a data science driven approach that produces actionable results with risk ratings and supporting evidence that increases SOC efficiency and supports bi-directional integration with Splunk Enterprise for data ingestion and correlation and with Splunk Enterprise Security for incident scoping, workflow management and automated response. The result is automated, accurate threat and anomaly detection.
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