Fidelis Network
Network detection and response (NDR) software
Network security software
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What is Fidelis Network
Fidelis Network is a network detection and response (NDR) product focused on monitoring network traffic to identify suspicious activity, support investigations, and help contain threats. It is typically used by security operations teams that need network-level visibility for threat detection, incident response, and forensic analysis. The product emphasizes deep packet inspection and metadata extraction to detect and investigate attacker behaviors across north-south and east-west traffic.
Deep packet inspection visibility
Fidelis Network analyzes network traffic using deep packet inspection to extract protocol and content-level details beyond basic flow records. This can help identify suspicious activity that may not be visible in endpoint-only telemetry or coarse network summaries. It supports investigations by providing packet-derived evidence and session context. This approach is useful in environments where encrypted traffic is not universal or where internal traffic visibility is required.
Strong investigation workflow support
The product is designed to support SOC workflows by correlating network observations into incidents and providing pivoting from detections to supporting network evidence. Analysts can use extracted metadata and traffic context to validate alerts and scope affected systems. This can reduce time spent reconstructing timelines from disparate logs. It is particularly relevant for incident response and threat hunting use cases.
Network-based detection coverage
As an NDR tool, Fidelis Network provides detection coverage that does not rely on endpoint agents being present or healthy. This can be valuable for unmanaged devices, legacy systems, and segments where endpoint tooling is limited. Network telemetry can also help detect lateral movement and command-and-control patterns. It complements log-centric and endpoint-centric security monitoring approaches.
Resource and deployment complexity
Deep packet inspection typically requires careful sensor placement, traffic mirroring/taps, and capacity planning to avoid blind spots or performance issues. High-throughput environments may need multiple sensors and tuning to manage packet capture and retention. This can increase implementation effort compared with solutions that rely primarily on flow data or cloud-native telemetry. Ongoing maintenance may be needed as network architectures change.
Encrypted traffic reduces fidelity
When a large share of traffic is encrypted, content-level inspection provides less direct visibility into payloads. Detection then depends more on metadata, certificates, SNI (where available), and behavioral analytics, which may reduce investigative certainty for some use cases. Organizations may need additional controls (e.g., TLS inspection points) to regain content visibility, which can add operational and privacy considerations. This is a common constraint for DPI-heavy NDR approaches.
Integration breadth varies by stack
The effectiveness of NDR often depends on integrations with SIEM, SOAR, EDR, and ticketing systems for alert routing and response actions. If required integrations are limited or require custom work, teams may face additional engineering effort to operationalize detections and automate response. Data normalization and alert tuning can also take time to align with existing SOC processes. Buyers should validate supported integrations and APIs against their current tooling.
Seller details
Fidelis Cybersecurity, Inc.
Bethesda, Maryland, USA
2002
Private
https://fidelissecurity.com/
https://x.com/FidelisCyber
https://www.linkedin.com/company/fidelis-cybersecurity/
