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medium advisory

CrowdStrike Falcon Next-Gen SIEM Supports Third-Party EDR Integration

CrowdStrike Falcon Next-Gen SIEM expands its capabilities to support third-party EDR solutions like Microsoft Defender, providing organizations with a unified AI-native SOC across diverse environments without requiring agent replacement.

Triage facts

Revision 2
Evidence
Unknown
Severity
Medium
Sources
1 public source
Freshness
Revision 2Mar 30, 19:03 UTC
Detection
2 rules
Revision history 1 entry · Revision 2
  1. Revision 2

    Repaired a legacy canonical identity collision

    Changed: slug

CrowdStrike Falcon Next-Gen SIEM is evolving to incorporate data from third-party endpoint detection and response (EDR) solutions, starting with Microsoft Defender. Launched in March 2026, this update enables security operations centers (SOCs) to modernize their architecture without disrupting existing endpoint agent deployments. The expansion addresses the increasing complexity of attacks that span multiple domains, including endpoint, identity, network, and cloud environments. CrowdStrike Falcon Onum is a key component, embedded within the Falcon platform to provide real-time data pipeline capabilities, filtering, enriching, and routing data to reduce noise and enhance the quality of telemetry for AI-driven security operations. This unified approach helps to eliminate data silos and accelerates threat detection and response.

Attack Chain

  1. Initial Access: Adversaries gain initial access through various methods, which are not specified in this document.
  2. Cross-Domain Exploitation: Attackers exploit vulnerabilities across multiple domains (endpoint, identity, network, and cloud) to establish a foothold and move laterally.
  3. Data Obfuscation: Adversaries use techniques to hide their activities and evade detection by existing security tools.
  4. Telemetry Siloing: Data becomes fragmented across different security tools and environments, hindering a unified view of the attack.
  5. Delayed Detection: Due to the lack of integrated visibility, detection of malicious activities is significantly delayed.
  6. Lateral Movement: After establishing a foothold, adversaries move laterally within the network to gain access to sensitive data and critical systems.
  7. Data Exfiltration: Adversaries exfiltrate sensitive data from the compromised systems, potentially leading to financial loss and reputational damage.
  8. Impact: Attackers achieve their objectives (data theft, system compromise, etc.) due to the fragmented security landscape and delayed response capabilities.

Impact

The lack of integrated security visibility can lead to delayed detection, slower response times, and a SOC struggling to keep pace with modern threats. This can result in increased dwell time for attackers, giving them more time to move laterally, compromise sensitive data, and disrupt business operations. Successfully executed attacks could lead to data breaches, financial losses, reputational damage, and regulatory fines. The number of victims and sectors targeted is not specified in this document.

Recommendation

  • Leverage Falcon Onum's real-time data pipeline capabilities to filter and enrich telemetry from Microsoft Defender and other third-party EDRs, improving data fidelity and reducing noise before it reaches downstream systems (Falcon Onum).
  • Utilize Falcon Next-Gen SIEM's federated search capabilities to query network and security telemetry in place across Falcon LogScale, ExtraHop, and cloud archives like Amazon S3 (Falcon Next-Gen SIEM).
  • Deploy the Sigma rules below to detect potential malicious activities based on the integrated telemetry from Microsoft Defender and other EDR solutions.
  • Configure Falcon Next-Gen SIEM to ingest and manage third-party threat intelligence indicators through APIs, enhancing threat detection capabilities (Third-Party Indicator Management).

Detection coverage 2

Detect Potential Lateral Movement via Uncommon Process Execution

medium

Detects uncommon processes being executed, which could indicate lateral movement or malicious activity.

sigma tactics: lateral_movement techniques: T1021.002 sources: process_creation, windows

Detect Data Exfiltration via Suspicious Network Connection

medium

Detects suspicious outbound network connections from uncommon processes, which could indicate data exfiltration.

sigma tactics: exfiltration techniques: T1041 sources: network_connection, windows

Detection queries are available on the platform. Get full rules →