Enterprise Insider Threat Detection Network
About This Architecture
Enterprise insider threat detection network with segmented VLANs, domain-joined endpoints, and centralized SIEM monitoring. Traffic flows from the Internet through perimeter firewall and VPN gateway to a core layer with distribution switches routing to management and access VLANs. Windows Server 2022 domain controller manages client authentication while InnerGuard SIEM server collects logs from all endpoints via GPO-deployed agents and Python HTTP monitors. Behavioral data feeds an ML detection module to identify anomalous user activity and insider threats in real time. This architecture demonstrates defense-in-depth with network segmentation, centralized logging, and behavioral analytics—critical for detecting compromised credentials and lateral movement. Fork this diagram on Diagrams.so to customize VLANs, add additional security controls, or integrate with your SIEM platform. Consider adding network access control (NAC) and endpoint detection and response (EDR) for enhanced visibility.
People also ask
How do you design an enterprise network to detect insider threats using SIEM and behavioral analytics?
This diagram shows a segmented network with management and access VLANs, a Windows Server 2022 domain controller for authentication, and an InnerGuard SIEM server collecting logs from all endpoints via GPO-deployed agents. A behavioral data pipeline feeds an ML detection module to identify anomalous user activity and insider threats in real time.
- Domain:
- Security
- Audience:
- Security architects and insider threat analysts designing enterprise detection networks
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