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Network Detection and Response, or NDR, is a cybersecurity category built to catch threats by watching how devices actually behave on a network, instead of waiting for antivirus signatures or firewall rules to catch something already known and documented. Arista’s version of this is called Arista NDR, a platform that grew out of its 2020 acquisition of Awake Security and now parses more than 3,000 network protocols across Layers 2 through 7 to spot behavior a signature-based tool would miss completely.
Netmate IT deploys and tunes Arista NDR from its office in Bur Dubai, UAE, where certified security engineers configure sensors, map detections to the MITRE ATT&CK framework, and connect the platform to a client’s existing SIEM or ticketing tools. As Arista’s trusted infrastructure partner, Netmate’s reach runs from the UAE out across the GCC, Kenya, Nepal, and Africa, for security teams that need to know what’s actually happening on their network instead of hoping nothing’s wrong.
Most security tools look at a narrow slice of network traffic. Arista NDR parses more than 3,000 protocols across Layer 2 through Layer 7, which means it sees far more of what’s actually happening than a tool reading only a handful of common protocols. A device using an obscure or legacy protocol doesn’t just disappear into a blind spot.
Encrypting traffic used to mean security tools lost visibility into it entirely. Arista’s encrypted traffic analysis identifies context, like whether a connection looks like a file transfer or something unusual, by reading behavioral and metadata patterns rather than decrypting the content itself. Privacy stays intact, but the blind spot doesn’t.
Every detection NDR makes gets mapped to a known attacker tactic or technique from the MITRE ATT&CK framework, a reference used across the security industry. This matters more than it sounds. A security analyst reviewing an alert can immediately understand what stage of an attack they’re looking at, instead of decoding vendor-specific jargon first.
EntityIQ is the knowledge graph behind NDR, built to identify, profile, and track every device, user, and application with nothing more than a network connection. A printer, a badge reader, a personal phone on guest WiFi- all of it gets profiled the same way, which is exactly how unmanaged devices nobody signed off on tend to get discovered.
An AI-driven virtual analyst performs triage and investigation automatically, using machine learning and natural language processing to work through potential threats without moving a client’s data outside their own infrastructure. A security team with three people instead of thirty still gets a meaningful first pass on every alert.
A business can run Arista NDR as a self-managed platform, or hand the whole thing to Arista’s own security team through the Managed Network Detection and Response (MNDR) service. For a smaller security team without the staff to watch dashboards around the clock, MNDR covers that gap without requiring new hires.
Netmate IT deploys and tunes Arista NDR from its office in Bur Dubai, with security engineers configuring the sensors, integrating Arista NDR with the client’s existing SIEM and ticketing tools, and mapping detections to the MITRE ATT&CK to get a team started from a dashboard without a “blank slate. Whether NDR is something analysts will use every day or alerts will be issued but not read depends on the placement and integration of the sensors at the start of the process.
Netmate’s work here covers the UAE first, then extends across the GCC, Kenya, Nepal, and Africa, for security teams that want real visibility into their network instead of relying on hope and a firewall log. Whether a client wants a self-managed deployment or the fully managed NDR service, Netmate handles the setup, tuning, and ongoing support either way.
A telecom provider in Hawalli might have thousands of connected devices on its network with no real way to know which ones are behaving normally. An oil and gas company in Ibri could be running industrial control systems that can’t run a security agent, yet still need watching for unusual activity. A logistics hub in Al Khor might want proof, not a guess, about which device sent data outside the network last week.
A university in Kakamega could be managing thousands of student laptops where one compromised device might reach research systems. A bank in Itahari might need detailed forensic records of a security event for a regulator, not a vague timeline pieced together afterward. Each of these comes down to the same gap: traditional security tools stop at the device they’re installed on, and NDR exists to cover everything else on the network that nothing else is watching.
Antivirus and endpoint detection tools only see what's happening on the device they're installed on. NDR watches the network itself, which means it catches devices that can't run security software at all- printers, IoT sensors, industrial equipment- and spots suspicious behavior between devices that endpoint tools were never positioned to see in the first place.
In most cases, NDR uses existing network infrastructure as its sensors rather than requiring an entirely new hardware rollout, pulling data through TAP, SPAN, or cloud traffic mirroring. Larger or more specialized deployments sometimes add dedicated sensor hardware for specific segments, but a full hardware replacement isn't the typical starting point.
Yes. Encrypted traffic analysis is able to discover patterns such as connection duration, packet size, and behaviour to deduce what the contents of the traffic are likely to be (e.g., a file transfer or some intrusive data transfer). This way, the actual data remains confidential despite being communicated over an encrypted channel, and security teams will also be provided with some context that they might otherwise lose completely when they get encrypted.
It is a popular, well-documented, open-source reference that identifies known attackers' methods and techniques and isn't tied to any specific vendor. A security analyst who sees a detection mapped to one of the entries in that framework can immediately see what type of attack behavior they are witnessing, not a proprietary alert label from one product.
Self-managed NDR places the platform under the control of a client, whose security team is responsible for monitoring, investigating, and responding to the platform. Instead, the Managed Network Detection and Response (MNDR) service takes over the task of keeping an eye on the dashboards day-to-day for smaller organizations that lack the personnel to monitor them around the clock.
It works alongside one rather than replacing it. A firewall controls what traffic is allowed in and out at defined points in the network. NDR watches behavior across everything already inside the network, including traffic a firewall never touches because it never crosses that boundary. The two cover genuinely different gaps.
Basic visibility and device discovery typically show up fairly quickly once sensors start collecting data. The deeper value, spotting genuinely unusual behavior rather than just normal traffic, improves over the first few weeks as the system builds a baseline of what normal looks like on that specific network, the same way any behavior-based tool needs time to learn the environment.
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