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AI anomaly detection

The graphs say fine.
Your users say otherwise.

Traditional monitoring waits for a number to cross a line you picked in advance — and the most damaging network problems never cross one. Net-Monitor learns how your network actually behaves and speaks up when that changes, whether or not anything looks busy.

Switch acc-3 · port Gi0/3DRAG THE TIMELINE
WHAT USERS ACTUALLY EXPERIENCELINK UTILISATIONALERT LIMIT — NEVER REACHED
All normal09:12

Net-Monitor has learned what this part of your network normally does at this time of day. Traffic is comfortable, the wire is clean, and nobody needs to be told anything.

Link utilisation
39%
Response time
24ms
Sniffer packet errors
0.2%
Risk score
2/100

Utilisation is comfortable and the wire is clean.

Drag the timeline. Utilisation never leaves its normal band and never reaches the alert limit — the entire incident happens above it, where counter-based tools cannot look.

How it works

Four steps, and none of them are your job.

There is no rules engine to maintain, no thresholds to tune every quarter, and no long tuning project before it earns its keep.

01

It watches everything, all the time

Net-Monitor listens to your network continuously — the device counters, the traffic flows, and the real conversations on the wire. Nothing is sampled once an hour and hoped for.

02

It learns what normal looks like

Every network is different, and every hour of the week is different. Net-Monitor builds a picture of how your network actually behaves — per link, per application, per time of day.

03

It spots the drift early

When behaviour starts moving away from normal, you hear about it — even though no limit has been crossed and every traffic light is still green.

04

It hands you the cause

Not a red icon. The device, the port, what changed and the evidence behind it — so the fix starts immediately instead of after an hour of hunting.

Why it sees more

The answer is in the traffic, not the counters.

An anomaly detector is only as good as what it can see. Most products only get device statistics, so a quiet network is a healthy network as far as they are concerned. Net-Monitor also reads the real traffic — which is how it tells the difference between a network that is quiet and a network that is quietly failing.

Is it up?SNMP

Every router, switch and server checked continuously — availability, response time, port status and errors, across every vendor you own.

Who is talking?NetFlow

Turns a link into names: which users, which applications, which servers are talking to each other, and how that pattern changes.

Why is it slow?Sniffer recording packets

The sniffer records the packets themselves. Delay, retransmission, failed handshakes, sessions falling over — the things that make a network feel broken while every counter reads normal.

AI learns your network

All three answers together, checked against what normal looks like for you — so you get the problem and the cause, not just a red icon.

What ordinary alerts miss

Four problems that never trip a limit.

Every one of these is a real pattern that a threshold-based tool will sail straight past — and every one of them ends up costing somebody a weekend.

The quiet slowdown

Everything feels sluggish and no link is above half full. There is no number to alarm on, so nothing alarms — and the investigation starts from a blank page.

The quiet intruder

Traffic between two machines that have never spoken before, at 3am, at a volume that looks unremarkable in isolation. There is no signature to match — only behaviour that does not belong.

The change nobody logged

A setting altered on one port. Nothing alarms. Performance quietly falls off for one department, and three weeks later somebody finally raises a ticket.

The intermittent fault

A problem that only shows up for ninety seconds at a time. Gone before anyone can log in and look — unless the evidence was already being recorded.

What you get

Detection, evidence and answers.

Alerts that fire on fixed limits only go off once the damage is done — and by then your team is already fielding calls. Net-Monitor learns what normal looks like on your network, then flags the drift while it is still forming. You get a warning, a cause and the evidence, hours before anyone opens a ticket.

Real-time anomaly detection

Deviations surfaced as they form, scored against a learned baseline rather than a number somebody typed into a config field two years ago.

24/7 capture and analysis

The sniffer runs continuously and analyses continuously. There is no window in which an incident goes unrecorded because nobody was looking.

Retained for forensics

Captured data is stored for later research. When a question arrives three weeks after the event, the packets the sniffer recorded are still there to answer it.

Historical search

Search back through stored history by host, interface, protocol or conversation to establish exactly when a behaviour started.

Root cause, not just alarm

Automatic troubleshooting points at the RCA instead of handing you a red icon, which is what actually shortens time to resolution.

Feeds your existing stack

Interfaces to external systems over a standard open API, so verdicts land in the SIEM, ITSM or NOC wall you already run.

What this means for you

  • Fewer outages, because you see them coming
  • Incidents resolved in minutes instead of hours
  • Answer "when did this start?" with hard evidence
  • Catch threats that signature-based tools walk straight past

Bring us a network you're not sure about.

The fastest way to judge anomaly detection is to point it at something real. We will run Net-Monitor against your own environment and walk you through whatever it finds.