New Features in January 2025
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Strata Cloud Manager

New Features in January 2025

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New Features in January 2025

Here are the new features available in Strata Cloud Manager in January 2025.
Here are the latest new features introduced on Strata Cloud Manager. Features listed here include some feature highlights for the products supported with Strata Cloud Manager. For the full list of new features supported for a product you're using with Strata Cloud Manager, see the release notes for that product.

User Inactivity Timeout Customization

January 17, 2025
Supported on Strata Cloud Manager
You can now tailor idle timeout settings to your specific security and compliance requirements. This enhancement enables custom tenant-level configuration, ensuring users are not logged out prematurely during long tasks or enforcing shorter timeouts in highly secure environments. You can set the idle timeout value between 10 to 60 minutes, with the default remaining at 30 minutes for backward compatibility.
When no timeout value is set, new tenants automatically adopt the default timeout value from their parent tenant. Once you customize the timeout value, it becomes independent and is maintained separately for that tenant.

GenAI Data in the Data Security View of the Command Center

January 16, 2025
Supported on Strata Cloud Manager
AI Access Security Update: December 2024
You can now monitor and protect sensitive generative artificial intelligence applications in the Data Security view of the Command Center. This update allows you to better safeguard your organization's information across various GenAI-powered tools and services.
When using an AI Access Security license or when applying the GenAI filter, you can now see Data at Rest alongside Data in Motion in the Command Center view and the Top Data Profiles widget, giving you a comprehensive view of your GenAI-related Data Security posture.
These enhancements to Strata Cloud Manager's AI Access Security feature set enable you to more effectively manage and secure your organization's use of GenAI technologies.

Strata Cloud Manager: NGFW Alerts in January

January 17, 2024
Here are the NGFW alerts introduced in January 2025:
  • BGP Peering Issue Due to Error Subcode = Administrative Reset (4)
  • BGP peering issue due to Error subcode = Bad Peer AS (2)
  • BGP Peering Issue Due to Error Subcode = Administrative Shutdown (2)
  • BGP-peer dropping due to missing keepalives
  • BGP peering issue due to Error subcode = Peer De-configured (3)
  • BGP peering issue due to Error subcode = Connection Rejected (5)
  • Unofficial URL for WildFire | Advanced WildFire
  • Unofficial URL for Application Database
  • Unofficial URL for Cloud Services
  • Unofficial URL for PAN-DB URL Filtering | Advanced URL Filtering
  • Advanced Routing Engine: NGFW Sent BGP Routes Beyond the Capacity of Its Peer
  • NGFW received BGP Routes beyond the configured max Prefixes
  • Hot-Plug event detected
  • Slow Panorama Performance - Long Execution of show config candidate operation
  • Duplicate IP address detected on an interface
  • GRE tunnel is down - recursive routing
  • Inter Log Collector Disconnection
  • Panorama/Log Collector Disconnected from Collector Group
  • Logrcvr Out-of-Memory - LFC Memory Retention Due to Kernel Failure
  • Logrcvr Out-of-Memory - LFC Log Loss Recovery Mechanism
  • Slow Panorama Performance - Long Execution of Push Scope Operation
  • Slow Panorama Performance - Long Execution of Save, Load, or Revert config operation
Health alerts actively monitor the health and performance of your platform in real-time. This approach helps in identifying issues, predicting potential problems, and implementing remediation actions to ensure your devices function optimally. Here are some key aspects:
  • Monitoring Metrics: Continuously monitor various metrics from the NGFWs, including CPU utilization, memory usage, disk space, network throughput, and other relevant performance indicators.
  • Anomaly Detection: Generate alerts that dynamically adjust based on the metric's historical value and your usage trends.
  • Predictive Analysis: Predict when certain thresholds exceed or when specific events occur by analyzing historical data and patterns. This helps forecast potential issues before they escalate.