AI TOOL PROFILE
Panther: Security Monitoring and AI SOC Platform
- Security
- Security Monitoring
- Enterprise security teams
- Mid-market companies with cloud-heavy infrastructure
- Security Operations Centers (SOC)
- Technical security engineering teams
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Enterprise security teams, Mid-market companies with cloud-heavy infrastructure, Security Operations Centers (SOC), Technical security engineering teams
- Key use cases
- Alert Triage and Investigation, Threat Hunting, SOC Workflow Support, Detection Management
- Integrations
- AWS CloudTrail, Okta, GitHub, CrowdStrike, GCP
- Official website
- Visit panther official website
How AI is used
Panther is a security monitoring and AI SOC platform built for cloud-scale environments. It features a security data lake that provides 12 months of hot storage, which helps teams store and query large volumes of logs.
The platform is designed for enterprise security teams managing complex detection logic. It utilizes a detection-as-code approach and integrates AI agents into workflows like triage and investigation to help analysts handle alert volume.
Buyers can choose to deploy the platform within their own cloud environment or use Panther's hosted cloud. Because it is geared toward technical security operations, it is suited for organizations with the expertise to manage code-based detections.
Before choosing Panther, buyers should confirm that their team is comfortable with a detection-as-code workflow and verify that the cloud-native architecture aligns with their specific compliance and hosting requirements.
Key Features
AI-Powered Triage
Uses AI agents to analyze alerts and support the triage process, which may reduce the time analysts spend on initial reviews.
Security Data Lake
Provides a centralized repository for security data with 12 months of hot storage for querying.
Detection-as-Code
Supports managing detection logic through code, including proposing improvements via GitHub pull requests.
Threat Monitoring
Monitors cloud environments in real time to identify and respond to potential security threats.
Cloud-Native Architecture
Built on a serverless architecture designed for scale with reported 99.9% uptime.
Use Cases
Alert Triage and Investigation
Security teams can use AI agents to pivot across data lakes and alert history to conduct investigations.
Threat Hunting
Supports scheduled hunts to identify threats that may not yet have specific detection rules.
SOC Workflow Support
Supports the transition of analysts from manual triage work to reviewing AI-generated investigation results.
Detection Management
Supports the creation and refinement of detection logic using code-based workflows.
Integrations
- AWS CloudTrail
- Okta
- GitHub
- CrowdStrike
- GCP
- Databricks
- Snowflake
FAQ
Who is Panther designed for?
- Panther is designed for enterprise and mid-market security operations center (SOC) teams that need to monitor threats at cloud scale.
What is detection-as-code in Panther?
- It is a workflow where detection logic is managed as code, allowing teams to propose and track improvements via tools like GitHub.
Where can Panther be deployed?
- Panther offers flexible hosting options, allowing it to be deployed either in the customer's own cloud or within Panther's cloud.
How does the AI assist security analysts?
- Panther embeds AI agents to help with triage, investigation, and threat hunting, which may reduce the manual effort required to resolve alerts.
Source category: Security
Source subcategory: Security Monitoring
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