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Panther joins Databricks to build the future of the security lakehouse. Read more →

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Panther joins Databricks to build the future of the security lakehouse. Read more →

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Panther joins Databricks to build the future of the security lakehouse. Read more →

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v1.116

In the Panther Console, custom enrichments (formerly called Lookup Tables) and Panther-managed enrichments have been consolidated into a single Enrichments table, with improved filtering and design.

New and Noteworthy
Now Generally Available
Enhancements
Panther Developer Workflows
  • Since the last Panther release, the panther-analysis repository has published versions 3.86.0–3.87.0, which include a number of changes, such as:

    • New rules for Axonius, Docusign, Auth0, Microsoft Intune/Defender, and GitHub Audit/Webhook.

    • Snowflake enrichment global helper functions.

    • Improved titles for CrowdStrike rules, including ComputerName.

  • The Panther MCP server has released version 2.1.0, which allows you to:

    • Access your existing Panther AI alert triage summaries or start new analysis runs directly through MCP tools.

    • Efficiently update multiple alerts at once.

    • list_alerts now defaults to the last 7 days for better visibility.

Bug Fixes
  • Resolved an issue where the Schemas page failed to load for customers with a large number of schemas.

  • Lookup Tables now properly ingest events that contain new line characters.

  • The Detection page no longer crashes when large search text is entered.

  • Header Name field is now disabled when a securityHeaderKey is defined when adding a new log source with HMAC authentication.

  • HMAC authentication now works with HTTP log sources with compressed content.

Deprecations
  • Support for historical tables in the panther_lookups.public database will stop in the upcoming 1.117 release. Tables like <lookupname>_XXX, <lookupname>_history_XXX, and <lookupname>_history will stop being populated and only the table containing the most up-to-date lookup data in <lookupname> will be populated. If you were referencing these historical tables to know how a log event was enriched while being processed by detections, note that signals contain enrichment data.

v1.116

In the Panther Console, custom enrichments (formerly called Lookup Tables) and Panther-managed enrichments have been consolidated into a single Enrichments table, with improved filtering and design.

New and Noteworthy
Now Generally Available
Enhancements
Panther Developer Workflows
  • Since the last Panther release, the panther-analysis repository has published versions 3.86.0–3.87.0, which include a number of changes, such as:

    • New rules for Axonius, Docusign, Auth0, Microsoft Intune/Defender, and GitHub Audit/Webhook.

    • Snowflake enrichment global helper functions.

    • Improved titles for CrowdStrike rules, including ComputerName.

  • The Panther MCP server has released version 2.1.0, which allows you to:

    • Access your existing Panther AI alert triage summaries or start new analysis runs directly through MCP tools.

    • Efficiently update multiple alerts at once.

    • list_alerts now defaults to the last 7 days for better visibility.

Bug Fixes
  • Resolved an issue where the Schemas page failed to load for customers with a large number of schemas.

  • Lookup Tables now properly ingest events that contain new line characters.

  • The Detection page no longer crashes when large search text is entered.

  • Header Name field is now disabled when a securityHeaderKey is defined when adding a new log source with HMAC authentication.

  • HMAC authentication now works with HTTP log sources with compressed content.

Deprecations
  • Support for historical tables in the panther_lookups.public database will stop in the upcoming 1.117 release. Tables like <lookupname>_XXX, <lookupname>_history_XXX, and <lookupname>_history will stop being populated and only the table containing the most up-to-date lookup data in <lookupname> will be populated. If you were referencing these historical tables to know how a log event was enriched while being processed by detections, note that signals contain enrichment data.

Bolt-on AI closes alerts. Panther closes the loop.

See how Panther compounds intelligence across the SOC.

Bolt-on AI closes alerts. Panther closes the loop.

See how Panther compounds intelligence across the SOC.

Bolt-on AI closes alerts. Panther closes the loop.

See how Panther compounds intelligence across the SOC.

Bolt-on AI closes alerts. Panther closes the loop.

See how Panther compounds intelligence across the SOC.