Hillstone S-Series Network Intrusion Prevention System vs Splunk User Behavior Analytics comparison

Hillstone Network-based IPS (NIPS) appliance operates in-line, and at wire speed, performing deep packet inspection, and assembling inspection of all network traffic. It also applies rules based on several methodologies, including protocol anomaly analysis and signature analysis to block threats. Hillstone NIPS can be deployed in the network to inspect traffic left undetected by perimeter solutions, and is an integral part of network security systems for its high-performance, no compromise, best-of-breed protection capability and broad and flexible deployment scenarios.

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.