Novus BT
Cybersecurity

Network Detection and Response (NDR)

A security layer that continuously analyzes network traffic to detect advanced threats missed by the firewall in real time and trigger automated response.

6Core Capabilities
2Technology Partners
Cybersecurity

About This Solution

Once an attacker breaches your network, the real fight begins. Our NDR architecture continuously monitors all internal traffic with machine-learning-driven behavioral analysis, catching unknown and fileless threats that signature-based tools miss through abnormal traffic behavior.

We don't turn every detected anomaly into an automatic alert pile; we prioritize incidents and trigger automated isolation and response playbooks only once a real threat is confirmed.

Risks You Face Without This Solution

Firewalls that only monitor the network perimeter cannot see the movement of an attacker who has already crossed it.

Signature-based detection systems can miss previously unseen (zero-day) attack techniques.

Without early detection, an attacker's dwell time inside the network can stretch to weeks.

What We Offer

01

Machine-learning-driven network behavior analysis

02

Anomaly detection even within encrypted traffic

03

Identification of lateral movement and command-and-control (C2) traffic

04

Prioritized, noise-reduced incident alerts

05

Automated isolation and response playbooks (SOAR integration)

06

Network traffic recording and retrospective review for forensic analysis

Who Is It For?

Ideal for organizations that need visibility inside the network beyond firewall and endpoint protection, with early-detection priority against advanced threats.

After deployment, we sustain the value this solution delivers through regular health checks, performance optimization, and 24/7 managed service support whenever needed.

Frequently Asked

Frequently Asked Questions About Network Detection and Response (NDR)

No, NDR is a complementary layer to your firewall, focused on catching threats that have already crossed the perimeter inside the network.
We detect anomalies from behavioral and statistical traits — flow size, timing, destination reputation — without decrypting the content.
We prioritize incidents by risk score and forward only validated, high-risk events to your team.

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