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    Strata Copilot
    AI Assist for Troubleshooting Application Experience
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    Autonomous DEM

    AI Assist for Troubleshooting Application Experience

    Table of Contents

    AI Assist for Troubleshooting Application Experience

    Autonomous DEM AI Assist feature within Strata Cloud Manager helps to diagnose and troubleshoot user's application experience issues in your environment.
    Where Can I Use This?What Do I Need?
    • Prisma® Access (Managed by Strata Cloud Manager)
    • NGFW (Managed by Strata Cloud Manager)
    This feature is currently in BETA and available on request. Contact your account team to enable this feature.
    • Strata Cloud Manager Pro Licence
    • Superuser role (for agent administration, onboarding, and managing permissions)
    • Network Administrator or Security Administrator role (for agent interaction)
    This feature uses a large language model or generative AI and may contain errors. Verify accuracy before applying changes.
    Network Security Agent AI Assist for ADEM diagnoses and resolves user-related issues through an AI-driven intelligence process. The AI Assist provides a holistic view of user application experience by consolidating metrics into a single, clear narrative.
    The AI Assist performs multi-step iterative and parallel analysis, correlating telemetry from the following endpoints and network paths, determines root causes, and provide actionable remediation recommendations:
    • User - User profile, activity patterns, and historical experience data
    • Device - Device model, operating system, resource utilization (CPU, memory, disk)
    • Browser - Browser type, extensions, and performance metrics
    • Network (Wi-Fi, LAN, GlobalProtect®) - Local network connectivity and performance
    • Prisma Access - Secure access connectivity and tunnel performance
    • Applications - Application-specific metrics including page load times and response times
    When you enter natural language queries or select any pre-suggested queries, the AI Assist initiates an automated investigation to identify root causes and provide actionable remediation recommendations.
    The ADEM AI Assist workflow runs in four stages:
    • Telemetry collection—AI Assist gathers data across six layers: user profile and activity history, device health (model, OS, CPU, memory, and disk utilization), browser type and performance metrics, local network connectivity (Wi-Fi, LAN, and GlobalProtect®), Prisma Access tunnel performance, and application-layer metrics such as page load and response times.
    • Iterative parallel analysis—The feature runs multi-step analysis across all telemetry sources simultaneously, correlating signals from the user's current session with historical experience data.
    • Root cause identification—AI Assist correlates findings from all telemetry layers to identify the underlying root cause rather than the most visible symptom.
    • Report generation—AI Assist produces an executive report with the root cause determination, supporting evidence, scope of impact analysis, timeline and baseline comparison, diagnostic journey summary, and immediate and long-term remediation recommendations.
    Investigations complete within five minutes, with intermediate updates streamed to the Strata Copilot sidebar every 30 seconds.

    ADEM AI Assist Scenarios

    The following scenarios illustrate how you can use AI Assist to investigate and resolve user experience issues.
    Reactive troubleshooting
    Scenario: A help desk ticket arrives reporting that a sales engineer is experiencing slow response times on Salesforce. You need to quickly identify whether the issue stems from the user's device, network connection, or the application itself.
    Query: "Why is Jane Smith having slow performance on Salesforce today?"
    AI Assist action: AI Assist collects telemetry from Jane's device, browser, local network, GlobalProtect tunnel, Prisma Access connection, and Salesforce application metrics, then correlates data across all layers to identify the root cause.
    Outcome: The Executive Report identifies critically high memory utilization on Jane's device as the root cause, confirms the issue is isolated to her endpoint, and recommends restarting the device and closing background applications—resolving the ticket without escalation.
    Scope of impact analysis
    Scenario: Multiple users report degraded video quality during a conference call. You need to determine whether the issue is isolated to one user or affects a shared network segment or Prisma Access gateway.
    Query: "Are other users experiencing the same Teams performance issues as Michael Chen right now?"
    AI Assist action: AI Assist performs scope of impact analysis to determine whether Michael's experience issue is isolated or shared across users on the same network path or Prisma Access gateway.
    Outcome: The report identifies five users on the same GlobalProtect gateway experiencing similar degradation, helping you escalate to the network team with specific gateway data and prioritize remediation accordingly.
    Executive reporting
    Scenario: Your CISO needs a summary of a recent application performance event affecting remote workers before an all-hands meeting in 30 minutes.
    Query: "Summarize the application experience issues affecting remote users in the last 24 hours."
    AI Assist action: AI Assist analyzes experience data for all remote users over the past 24 hours, identifying patterns, common root causes, and the most affected applications.
    Outcome: The Executive Report delivers a leadership-ready summary with root cause findings and recommended actions within minutes, ready to present without further analysis.

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