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Network Detection and Response (NDR)

What is Network Detection and Response (NDR)?

Network Detection and Response (NDR) is a proactive cybersecurity approach designed to identify and counter cyber threats by continuously monitoring network traffic. NDR solutions utilize advanced technologies like machine learning, AI, and behavioral analytics to detect anomalies that may indicate the presence of threats.
By cutting detection and response times by up to 70%, NDR strengthens an organization's ability to respond swiftly to incidents, reducing the risk of data breaches.

Challenges

Complexity of Modern Networks

The growing complexity of IT environments spanning cloud services, remote work, and OT/IoT environments expands the attack surface and complicates visibility, challenging NDR solutions to monitor and detect threats effectively.

False Positives and Alert Fatigue

NDR systems often produce numerous false positives, leading to alert fatigue and risking the oversight of critical threats, which undermines detection and response efficacy.

Integration Challenges

Seamlessly integrating NDR with existing security tools like SIEM and EDR is crucial yet often resource-intensive and complex, posing a significant barrier for many organizations.

Seceon NDR

Network visibility without a single agent

Passive detection and response across north-south, east-west and cloud VPC traffic, correlated with the rest of your security data in aiSIEM.

Passive deployment

Full-packet visibility, zero disruption

Deploys passively through an inline tap, SPAN port or network TAP, with no agents on endpoints.

Protocols include HTTP/S, DNS, SMTP, SMB, RDP, SSH, FTP, SQL, OPC-UA and Modbus, plus 100+ more.

0Agents required
<5 minMean time to detect

East-west

Lateral movement

Catches attackers who have bypassed the firewall, using peer-group traffic baselines.

VLAN boundary violationsMicrosegment violations

C2 and DGA

Command-and-control

Frequency and timing analysis exposes covert beaconing and DGA domains.

Encrypted traffic analysis

Threats in TLS, no decryption

Detects anomalies in encrypted traffic without decrypting it, including self-signed, expired and mismatched certificates.

JA3/JA3S fingerprintingCertificate anomalies

Behavioral scoring

Anomaly score per entity

Flags port scans, brute force, data staging and exfiltration patterns.

Unified correlation

Network findings, correlated with logs and identity

Every NDR finding feeds the aiSIEM correlation engine in the same event format, enriched with UEBA risk context.

Automated response

<90s

Containment through SOAR

MITRE ATT&CK

Coverage across key tactics

Network detections map to the tactic categories attackers rely on after initial access.

Lateral MovementCommand and ControlExfiltrationDiscoveryCredential Access

OT/ICS and multi-site

Visibility where agents cannot go

Passive monitoring for OT/ICS segments and legacy devices, with distributed sensors across geographic zones.

OPC-UAModbusDistributed sensorsNo operational disruption
Summary Section

Summary

Seceon’s AI-driven NDR solution continuously monitors network traffic, detecting and analyzing anomalies in real-time. It identifies potential threats using advanced machine learning models and automatically responds to neutralize risks, providing comprehensive protection against evolving cyber threats.

Seceon aiSIEM-CGuard

24/7 Access to Seceon’s Cybersecurity Experts - Because Threats Don’t Wait

Do These Persistent Issues Impact Your Day-to-Day Operations?
  • Large number of failed logins from single/multiple IPs, internal or external, against a single/multiple usernames.
  • Failed logins from new geo locations or a new user device.
  • Large number of account lockouts.
  • High cost of integration, support and maintenance.

    Seceon Inc