Panther
Panther is an AI security operations platform for security teams that collects and standardizes security logs, detects threats, and supports alert investigat…
What Panther is
Panther is an AI security operations platform for security teams that collects and standardizes security logs, detects threats, and supports alert investigation and response. Panther AI can investigate alerts by querying the data lake, checking detection logic and alert history, and gathering context from connected tools. It can resolve noisy alerts and escalate high-confidence threats. The AI Detection Builder converts plain-language threat descriptions into Python detections; teams can write, test, and version rules through CI/CD and GitHub code review. Panther supports Snowflake or Databricks as the security data lake, with data remaining in the chosen warehouse, and provides a REST API for supported entities such as alerts, rules, users, and log sources. Deployment options include managed SaaS and Cloud Connected, where customers own the AWS and warehouse accounts while Panther manages the platform. Integrations include AWS CloudTrail, Okta, Slack, CrowdStrike, and PagerDuty. Pricing is on request, and a free trial is available.
Good
- AI investigates alerts and escalates high-confidence threats
- Plain-language descriptions can generate Python detections
- Supports Snowflake and Databricks data lakes
- Managed SaaS and Cloud Connected deployment options
- Free trial available
Watch out
- Pricing is available on request
- Cloud Connected first-time setup requires contacting Panther Support
Who it suits
Panther suits security teams looking to automate SOC workflows and focus more effort on threat hunting and detection engineering. Its Python detections, integrations, and deployment options are relevant to teams managing their own security data lake.
Verdict
Panther combines alert investigation, threat detection, and response workflows with Python-based detection engineering. Teams should consider its deployment model and request pricing details before choosing it.
Plans and prices
From Panther's own pricing page, checked 10 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Panther | Priced on request | Pricing is not listed; contact Panther for pricing. |
The facts
Each one read from Panther's own pages, with the date it was checked.
What it does
- AI investigations
- Panther AI investigates alerts by querying the data lake, reviewing detection logic and alert history, and gathering context from connected tools.checked 10 Oct 2026
- Alert triage
- Panther AI autonomously investigates alerts and resolves noise, escalating high-confidence threats.checked 9 Oct 2026
- API
- Panther provides a REST API for interacting with alerts, users, rules, log sources, and other supported entities.checked 10 Oct 2026
- Audit trails
- Panther says every AI action is visible, logged, and auditable.checked 9 Oct 2026
- Availability
- Panther states that it maintains 99.9% uptime through an SLA-backed availability commitment.checked 10 Oct 2026
- Data lake
- Panther supports using Snowflake or Databricks for the security data lake, with data remaining in the customer’s chosen warehouse.checked 10 Oct 2026
- Data visibility
- Panther says it ingests log sources and attaches context automatically to support investigations.checked 9 Oct 2026
- Deployment
- Panther offers a managed cloud deployment and a deployment in the customer’s AWS environment using the customer’s Snowflake or Databricks account.checked 10 Oct 2026
- Detection builder
- The AI Detection Builder turns plain-language threat descriptions into production-ready Python detections.checked 9 Oct 2026
- Detection engineering
- Teams can write, test, and version detection rules in Python and manage them through CI/CD and GitHub code review.checked 10 Oct 2026
- Integrations
- Panther lists integrations for log sources, alert destinations, enrichment, data lakes, cloud resources, and MCP servers.checked 10 Oct 2026
- Intended users
- Panther presents its platform for security teams seeking to automate SOC workflows and shift effort toward threat hunting and detection engineering.checked 9 Oct 2026
- MCP integrations
- Panther AI can connect to MCP servers including Slack, PagerDuty, Notion, GitHub, and Atlassian.checked 9 Oct 2026
- Product
- Panther is an AI SOC platform for ingesting and normalizing security logs, detecting threats, and investigating alerts.checked 10 Oct 2026
- Security certifications
- Panther states that it is SOC 2 Type 2 compliant, PCI compliant, and ISO 27001 certified.checked 10 Oct 2026
- Support
- Panther offers technical support 20 hours a day, five days a week, and 24/7 on-call emergency support for customers.checked 10 Oct 2026
- Tenant isolation
- Panther says its customer data is isolated in dedicated instances.checked 10 Oct 2026
- Tenant isolation and availability
- Panther states that customer data is isolated in dedicated instances and that it maintains 99.9% uptime under an SLA-backed commitment.checked 9 Oct 2026
- What it does
- Panther describes itself as an AI SOC platform that ingests and normalizes security logs, detects threats, and supports investigation and response.checked 9 Oct 2026
The company
- Company history
- Panther says it was built cloud-native in 2018.checked 10 Oct 2026
- Founded
- 2018checked 28 Sep 2026
- Headquarters
- A Panther platform overview identifies San Francisco as the company’s headquarters.checked 10 Oct 2026
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