Microsoft Defender for Identity vs Splunk User Behavior Analytics comparison

Microsoft Defender for Identity is a comprehensive security solution that helps organizations protect their identities and detect potential threats. It leverages advanced analytics and machine learning to provide real-time visibility into user activities, enabling proactive identification of suspicious behavior. 

With its powerful detection capabilities, it can identify various types of attacks, including brute force, pass-the-hash, and golden ticket attacks. The solution also offers rich reporting and alerting capabilities, allowing security teams to quickly respond to incidents and mitigate risks. By continuously monitoring user activities and providing actionable insights, Microsoft Defender for Identity helps organizations strengthen their security posture and safeguard their sensitive data.

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.