Palo Alto Networks Advanced Threat Prevention vs Splunk User Behavior Analytics comparison

Palo Alto Networks Advanced Threat Prevention is a cloud-based security service that combines cutting-edge technologies, including machine learning, artificial intelligence, and expert human monitoring, to effectively thwart advanced threats like malware, zero-day attacks, and command-and-control threats. It offers inline protection, scrutinizing all network traffic irrespective of port, protocol, or encryption. An integral component of Palo Alto Networks' security platform, it enjoys widespread adoption across diverse organizations. With its robust security capabilities, it's an ideal choice for entities of all sizes, particularly those in high-risk sectors such as finance, healthcare, and government agencies, seeking to safeguard their networks from a broad spectrum of advanced threats.

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.