Panther Features

Documents the actions from endpoints within a network. Alerts users of incidents and abnormal activities and documents the access point.

Keeps records of each network asset and its activity. Discovers new assets accessing the network.

Provides security information and stores the data in a secure repository for reference.

Alerts users of incidents and allows users to intervene manually or triggers an automated response.

Reduces time spent remedying issues manually. Resolves common network security incidents quickly.

Documents cases of abnormal activity and compromised systems.

Stores information related to common threats and how to resolve them once incidents occur.

Analyzes your existing network and IT infrastructure to outline access points that can be easily compromised.

Allows users to customize analytics with granulized metrics that are pertinent to your specific resources.

Allows users to search databases and incident logs to gain insights on vulnerabilities and incidents.

Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Monitors performance and statistics related to memory, caches and connections.

Detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Actively monitors status of work stations either on-premise or remote.

Monitors data quality and send alerts based on violations or misuse.

Identifies potential network security risks, vulnerabilities, and compliance impacts.

Creates reports outlining log activity and relevant metrics.

Streamline the flow of work processes by establishing triggers and alerts that notify and route information to the appropriate people when their action is required within the compensation process.

Integrates additional security tools to automate security and incident response processes.

Allows users to track and control activity across cloud services and providers.

Automatically collect logs from all your services, applications, and platforms

Automate the indexing of machine data that's critical to your operations

See log data in context with automated tagging and correlation

Mix and match data from apps, hosts, containers, services, networks, and more

Allows user to track log trends.

Identify and predict anomalies in real-time with outlier detection and uncover root-causes

Analyze both metric and event data on the same platform regardless of source or structure

Search your logs for troubleshooting and open-ended exploration of your data

Create alerts based on search patterns, thresholds for specific log metrics, or other conditions

See your data, in real time, streaming into the system from multiple data sources

Visualize log data on dashboards

Drill down and explore data to discover new insights

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Detect and link suspicious activities across systems in real time.

Identify and dismiss non‑threats through intelligent pattern recognition.

Reduce noise by automatically evaluating and prioritizing alerts based on risk and context.

Investigate alerts end‑to‑end, gathering evidence and building incident timelines.

Enrich cases with data from SIEM, EDR, cloud, identity, and threat‑intel feeds.

Create visual maps of threat propagation and lateral movement through networks.

Allow SOC teams to query agents via natural language about ongoing cases.

Improve agent performance through adaptive learning from security team corrections.

Provide human‑readable reasoning trails and decision justifications.

Track and lower MTTD/MTTR/MTTC through autonomous reactions.

Adapt remediation actions without requiring static SOAR playbooks.

Execute predefined or adaptive responses (e.g., isolate endpoints, revoke credentials).