Analytics

Aggregated views of all users’ and entities’ activities across an enterprise in a single pane of glass

Full visibility into any anomalous and suspicious behavior through profiling and risk-based scoring

Specific threat behaviors mapped to MITRE ATT&CK vectors describe the “how” and “why” of a threat actor’s actions

Different “views” into the data through a layered data schema architecture

Detect disturbances across your applications, network and infrastructure

Baseline user and entity behaviors for detection of threats & operational disturbances across enterprise infrastructure and cloud environments
Graph visualization to show the relationships between users and entities
Open (Semantic) Data Model to unify and connect the data for contextual analysis
Detect anomalies with profiling and explainable risk-based scoring
Unified Data Cloud between IT, security and operations teams delivers higher fidelity analytics

Correlate security signals and collaborate on investigations
Retain all security data to correlate them and identify trends over time
Rapidly analyze threats and easily filter security signals based on key attributes such as severity level, the MITRE ATT&CK® technique, or any associated entity, such as an attacker’s IP Integrate with collaboration tools to quickly loop in relevant teams for faster investigations

Reduce alert fatigue with Investigation automation on incoming alerts to show what happened and why it’s happening
Express relationships between the network, endpoint, and cloud assets in a graphical analysis for detection and visualization
Domain knowledge are mapped through Elysium Data Model (knowledge graphs) to connect events and alerts
Consolidate alerts into prioritized workflows to focus an analyst for better incident response

Support both operations and security in one application
Monitor SAAS latency, traffic, errors, and saturation
Rapidly analyze events and filter based on key attributes such as severity level

Immediately improve your security posture with out-of-the-box detection rules that automatically flag attacker techniques and misconfigurations mapped to the MITRE ATT&CK® framework
Easily create your own custom rules in seconds – without the need to learn a proprietary query language
ML-based security outcomes and behavioral models aid in detecting and responding to advanced cyber attacks

Detect potential threats across the full stream of ingested observability data
Analyze everything and retain all the data on Snowflake’s Data Cloud
Receive actionable alerts on malicious or anomalous patterns as data is received in near real time