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Security / June 24, 2026

How the Gigamon Deep Observability Pipeline Enhances CrowdStrike Falcon Next-Gen SIEM

CrowdStrike Falcon Next-Gen SIEM helps security teams unify endpoint, identity, and log data to accelerate detection and response. But when analysts need to understand what actually traversed the network during an attack, they often must pivot to additional tools and data sources for context.

The integration between the Gigamon Deep Observability Pipeline and CrowdStrike Falcon Next-Gen SIEM helps close that gap. By delivering Gigamon Application Metadata Intelligence (AMI) directly into Falcon, organizations gain network-derived telemetry that complements endpoint and log data, helping analysts detect threats faster, investigate incidents more efficiently, and gain deeper visibility across hybrid cloud environments.

Together, CrowdStrike and Gigamon provide a more complete view of activity across the environment, enabling security teams to correlate endpoint, identity, log, and network intelligence within a unified workflow.

Gigamon and CrowdStrike network diagram showing hybrid cloud, data center, SaaS, and east-west traffic flowing into the Gigamon Deep Observability Pipeline. The pipeline accesses, brokers, transforms, and enriches network data before sending it to CrowdStrike Falcon Next-Gen SIEM for detection, investigation, and response.

Why Endpoint and Log Data Alone Create Security Blind Spots

Even the most advanced SIEM platforms depend on the quality and breadth of the telemetry they ingest. While logs provide valuable records of system activity, they do not always capture the full context of how systems, applications, and users communicate across the network.

Attackers increasingly exploit this gap. They move laterally using legitimate credentials, operate within encrypted sessions, and leverage approved tools to blend into normal activity. In many cases, logs and endpoint data alone may not reveal the complete picture.

This is where network-derived telemetry becomes a critical complement to existing security data sources.

How Gigamon Deep Observability Extends CrowdStrike Falcon Next-Gen SIEM Visibility

The Gigamon Deep Observability Pipeline extends CrowdStrike Falcon Next-Gen SIEM with network-derived telemetry and Application Metadata Intelligence (AMI), providing security teams with visibility that complements endpoint, identity, and log data.

Gigamon aggregates, optimizes, and distributes data from physical, virtual, cloud, and containerized environments. Through AMI, Gigamon extracts high-value metadata from network traffic, including application, DNS, TLS, service, and communication insights. This metadata provides visibility into application activity and communications without requiring analysts to rely solely on logs or endpoint telemetry.

When this metadata flows into CrowdStrike Falcon Next-Gen SIEM, analysts can correlate what the endpoint reports with what traversed the network. That additional context helps teams detect threats faster and investigate more efficiently.

With Gigamon AMI integrated into Falcon Next-Gen SIEM, organizations gain:

  • Application intelligence and Shadow IT visibility: Identify applications, services, and dependencies across hybrid cloud environments, including unsanctioned SaaS applications, and rogue services that may not appear in traditional logs
  • Independent, network-derived telemetry: Add network-based evidence that complements endpoint and identity data and remains highly resistant to tampering, even when attackers have administrative access to compromised systems
  • Encrypted and East-West traffic visibility: Analyze DNS, HTTP, and TLS/SSL metadata, along with communication patterns across encrypted and East-West traffic to identify suspicious activity, including indicators consistent with command-and-control and data exfiltration

Together, these capabilities extend Falcon visibility beyond endpoint, identity, and log telemetry, giving analysts a richer understanding of activity across the environment.

How Network-Derived Telemetry Improves Threat Detection and Incident Response

The value of the integration becomes especially apparent during threat detection and investigation workflows.

For example, endpoint telemetry may identify a suspicious PowerShell process, while network-derived telemetry reveals the destination systems, DNS requests, TLS characteristics, and communication patterns associated with that activity.

Similarly, identity telemetry may indicate successful authentication activity, while network-derived metadata helps determine whether those credentials are being used in ways that align with normal behavior.

Together, these data sources create higher-confidence detections and provide analysts with richer context during investigations.

Three Outcomes Security Leaders Gain from Network-Enriched SIEM

1. Faster Investigations and Lower MTTR

When Falcon raises an alert, analysts often need to pivot across multiple tools to find the network context behind it, including packet captures, flow records, log aggregators, and more.

With Gigamon AMI feeding directly into Falcon Next-Gen SIEM, that context is already there. Without leaving Falcon, analysts can correlate endpoint alerts with network activity to understand what happened before, during, and after an event and immediately answer:

  • Which systems communicated over SMB?
  • Which URL did that suspicious PowerShell script communicate with?

By delivering network-derived telemetry directly into a single enriched view in Falcon, the joint solution streamlines triage and reduces mean time to respond (MTTR).

2. Exposing Lateral Movement Hidden Behind Legitimate Credentials

Adversaries routinely live off the land, using valid credentials and built-in tools to blend into normal activity. In many of these cases, identity-only alerts may never fire because nothing looks obviously malicious in the logs.

Deep observability helps expose behavioral indicators that may otherwise go unnoticed. For example:

  • A workstation that suddenly begins scanning a sensitive database subnet on an unusual port
  • A spike in East–West traffic volume between systems that rarely talk to each other

By correlating these network-level anomalies with Falcon endpoint and identity telemetry, the joint solution turns subtle patterns into high-confidence detections, making it harder for lateral movement to go unnoticed.

3. Better Security, Smarter SIEM Economics

SIEM tools often struggle under the weight of data noise and rising ingestion and storage costs.

The Gigamon Deep Observability Pipeline also filters and optimizes network traffic before it reaches Falcon Next-Gen SIEM, removing irrelevant, high-volume data such as streaming traffic or routine updates.

Rather than ingesting every available network record, organizations can forward high-value metadata that supports security investigations while reducing unnecessary data volume. This approach helps improve signal-to-noise ratios and can reduce indexing, storage, and operational costs associated with large-scale SIEM deployments.

This enables teams to:

  • Selectively capture and forward relevant, high-value security metadata
  • Reduce storage and indexing costs
  • Improve signal-to-noise ratio

The result is better visibility with less data.

The Bottom Line: Extending Falcon with Deep Observability

CrowdStrike Falcon Next-Gen SIEM delivers powerful detection and response capabilities across endpoint, identity, and log data. The Gigamon Deep Observability Pipeline extends that visibility with network-derived telemetry and Application Metadata Intelligence, providing additional context for detecting threats, investigating incidents, and understanding activity across hybrid cloud environments.

By combining the Gigamon Deep Observability Pipeline with Falcon’s security analytics capabilities, organizations can improve detection accuracy, accelerate investigations, and gain greater confidence in their ability to respond to evolving threats.

Ready to power Falcon SIEM with Gigamon Deep Observability?
Contact your Gigamon and CrowdStrike representatives or contact our sales team.

FAQs

How does network-derived telemetry improve SIEM detection?

Network-derived telemetry provides independent visibility into communications occurring across the network, helping security teams identify suspicious behavior that may not be visible through endpoint, identity, or log data alone.

Why is network visibility important for CrowdStrike Falcon Next-Gen SIEM?

Network visibility provides additional context about application activity, encrypted communications, DNS activity, and East-West traffic, helping analysts investigate incidents faster.

How does Gigamon integrate with CrowdStrike Falcon Next-Gen SIEM?

Gigamon delivers Application Metadata Intelligence (AMI) and network-derived telemetry into CrowdStrike Falcon Next-Gen SIEM, enriching endpoint, identity, and log data with network visibility.


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