Alert storms from Next-Gen Firewalls and EDRs frequently overwhelm the SOC, burying analysts under cases packed with 500 to 1,000 grouped alerts. Manually parsing massive log volumes to determine whether a sudden spike is an active threat or simply a benign configuration error drains critical time and accelerates analyst fatigue.

We will demonstrate how to build a custom False Positive Cleanup Agent to autonomously triage alert floods and resolve root-cause hygiene issues.

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In this session, you will learn how to build and deploy the agent to potentially reduce as much as 90% of false positive alerts:

• Process massive data volumes: Ingest and analyze terabytes of firewall and endpoint logs in minutes to pinpoint the source of an alert spike.
• Contextualize root causes: Identify the specific policy misconfiguration (such as URL filtering errors) driving the false positive instead of blindly dismissing alerts.
• Execute bulk resolutions: Safely close hundreds of grouped issues simultaneously and resolve the parent case.
• Automate email notifications: Inform security teams of bulk closures alongside root-cause hygiene issues that need fixing.

Connect with our experts, explore real-world use cases, and walk away with a clear roadmap to modernize your organization with best-of-breed AI capabilities. 

This session is ideal for security analysts of all experience levels, including security operations/SOC staff and incident responders.