Request a demo

Request a demo

v1.18

Latest release

calendar

Jun 8, 2021

New and Noteworthy
  • View and clone Panther-managed schemas in the UI for simpler schema management

  • Pivot from IP addresses, ARNs, and other indicators in alerts to investigate hits across data sources

Features
  • Data that fails to normalize due to a parsing error is now searchable in the data lake

  • Mock external API calls when unit testing detections to build effective detections (docs)

Enhancements
  • Scheduled queries and saved queries are now supported in Detection Packs

  • A table with "flat" GSuite data is created to more easily query and write detections against GSuite logs

  • CrowdStrike event tables are available to more easily query and write detections against CrowdStrike logs

  • Snowflake configuration steps have been updated for self-hosted customers upgrading to 1.18

Bug Fixes
  • Password reset flow is broken: this fixes a blank screen that appears after resetting a password

  • UI loses query ID: this fixes the query ID being dropped when toggling between Query History to Data Explorer

Previous Releases

v1.17

May 13, 2021

check-circle

  • Create alarms to alert you when logs drop off from a log source or Panther loses permission

  • Pull your Salesforce logs with our new SaaS Log Puller

  • Pull your Microsoft Office 365 logs with our new SaaS Log Puller

v1.17

May 13, 2021

check-circle

  • Create alarms to alert you when logs drop off from a log source or Panther loses permission

  • Pull your Salesforce logs with our new SaaS Log Puller

  • Pull your Microsoft Office 365 logs with our new SaaS Log Puller

v1.17

May 13, 2021

check-circle

  • Create alarms to alert you when logs drop off from a log source or Panther loses permission

  • Pull your Salesforce logs with our new SaaS Log Puller

  • Pull your Microsoft Office 365 logs with our new SaaS Log Puller

v1.17

May 13, 2021

check-circle

  • Create alarms to alert you when logs drop off from a log source or Panther loses permission

  • Pull your Salesforce logs with our new SaaS Log Puller

  • Pull your Microsoft Office 365 logs with our new SaaS Log Puller

v1.16

Apr 5, 2021

check-circle

  • Analyze historical data and generate scheduled alerts with Scheduled Queries

  • Quickly view your query history and rerun past queries in the UI

  • Simplified detection management with "detection packs"

v1.16

Apr 5, 2021

check-circle

  • Analyze historical data and generate scheduled alerts with Scheduled Queries

  • Quickly view your query history and rerun past queries in the UI

  • Simplified detection management with "detection packs"

v1.16

Apr 5, 2021

check-circle

  • Analyze historical data and generate scheduled alerts with Scheduled Queries

  • Quickly view your query history and rerun past queries in the UI

  • Simplified detection management with "detection packs"

v1.16

Apr 5, 2021

check-circle

  • Analyze historical data and generate scheduled alerts with Scheduled Queries

  • Quickly view your query history and rerun past queries in the UI

  • Simplified detection management with "detection packs"

v1.15

Mar 1, 2021

check-circle

  • Health monitoring for Snowflake to validate your logs are flowing as expected

  • Pull your Duo logs with our new SaaS log puller.

  • Cloud Security scan history is now stored in your data lake

v1.15

Mar 1, 2021

check-circle

  • Health monitoring for Snowflake to validate your logs are flowing as expected

  • Pull your Duo logs with our new SaaS log puller.

  • Cloud Security scan history is now stored in your data lake

v1.15

Mar 1, 2021

check-circle

  • Health monitoring for Snowflake to validate your logs are flowing as expected

  • Pull your Duo logs with our new SaaS log puller.

  • Cloud Security scan history is now stored in your data lake

v1.15

Mar 1, 2021

check-circle

  • Health monitoring for Snowflake to validate your logs are flowing as expected

  • Pull your Duo logs with our new SaaS log puller.

  • Cloud Security scan history is now stored in your data lake