This week, Aiven — the Helsinki-based open source data infrastructure company best known for managed PostgreSQL, Kafka, and OpenSearch — proposed an LLM gateway: a single control layer that sits between your applications and multiple AI providers, so teams can route requests, cap usage, and keep token bills sane without locking into one vendor. As The Register framed it, Aiven hopes to do for LLMs what it already does for databases.
You do not need to care about Aiven's roadmap to care about what the story signals. Every organization is bolting AI onto its stack right now, and every one of those AI services lands on your network as something new: a gateway VM, a developer's GPU workstation running a local model, a new SaaS integration, a marketing tool phoning home on port 443, a traffic pattern your uplinks were never sized for.
And here is the uncomfortable question for anyone running IT today: would your monitoring even notice?
For most teams the honest answer is no. Most monitoring estates were built for a network that stopped existing years ago — a static device list someone curated in 2021, per-node licensing that punished thoroughness, and a Visio diagram last touched by an admin who left the company. When something new appears — and something new appears weekly now — nobody sees it until an end user complains. At that point you are not doing monitoring. You are doing archaeology.
The Problem: Your Tools Only See What You Told Them to See
Your RMM is agent-blind. Platforms like NinjaOne, ConnectWise Automate, and Syncro see exactly the machines where an agent was installed. Unmanaged switches, IP cameras, printers, access points, and that GPU workstation a developer requisitioned through a personal budget are invisible by design. No agent, no data.
Your standalone monitoring is list-bound. PRTG, SolarWinds, and Zabbix poll a manually maintained device list. Discovery, where it exists at all, is a scheduled batch job — weekly if you are lucky. Per-sensor and per-node licensing means your team has a financial incentive to keep that list short, so short it skips entire wiring closets.
Your helpdesk has no network context. A ticket arrives saying the file server is slow. Nothing in the ticket says the file server's uplink is saturated by port 14 on SW-IDF-02 — because the helpdesk product has never spoken to the monitoring product, and neither has spoken to the network itself.
Your documentation is a snapshot, not a state. The Visio diagram and the switch-port spreadsheet describe a network that no longer exists. Nobody updates them during an incident, and nobody updates them after one either.
Put those four gaps together with the current AI adoption wave and you get the scenario playing out in IT departments every week:
A developer spins up a GPU workstation running a local LLM — Ollama or vLLM — to summarize internal documents. It lands on the same subnet as your file servers. Nobody registers it; it is just a PC. At 2:15 PM the workstation pulls a 25 GB model plus a document sync and saturates the 1 Gb uplink between the IDF and your core. File shares crawl. Outlook hangs. VoIP turns robotic. The helpdesk collects 14 tickets in 20 minutes while your monitoring dashboards stay green the entire time — because every polled device is, technically, up.
Up was never the problem. The problem is a device nobody knew existed, on a path nobody had mapped, generating load nobody was watching.
If you run an MSP, multiply that by every client who discovered AI tools in the last six months. Then add the SLA credits.
The measurable damage: the first 30–45 minutes of any connectivity incident are spent answering what changed and where is it instead of fixing it. MTTR is dominated by triage, not repair. SLA reports are inaccurate because monitoring, ticketing, and network data live in three systems that do not reconcile. And your best techs burn out on 2 AM pages that a current map would have answered in one glance.
How AlertMonitor Solves This
Continuous discovery, not quarterly archaeology. AlertMonitor continuously discovers and maps every device on the network — switches, firewalls, access points, printers, IP cameras, and unmanaged endpoints — using SNMP, ARP, and active scanning. Not a nightly job, not a quarterly audit. A new device is detected within minutes of touching the network, classified by hardware vendor and behavior, and placed on the live topology map at the exact switch and port where it connects.
The topology map is an alert source, not a picture. When a switch goes offline, a link drops, or a new device appears, an alert fires instantly with full network context:
- Switch offline → instant alert, with everything downstream flagged on the map.
- Link flap → the exact interface, the upstream switch, and what depends on that path.
- Unknown device on a server or management VLAN → high-severity alert with MAC vendor, first-seen time, and network location.
- New printer on a user VLAN → informational, because severity policy is yours to define.
Alerts arrive with answers attached. Every alert carries the device, the port, the upstream path, and recent changes — so the response to a 2 AM page is a decision, not an investigation.
Alert-to-ticket with topology included. AlertMonitor opens a helpdesk ticket automatically, with the network context attached. And because monitoring, RMM, helpdesk, and patching share one platform, the same alert lets you remote into the device, check its patch state, and close the loop in one pane — instead of twelve tabs across five tools.
Side by side:
The old way: User calls at 2:17 PM. Tech RDPs to the file server, checks PRTG — everything green. SSHs into three switches hunting for a MAC address. Updates the Visio from memory. Finds the culprit 40 minutes later on a switch nobody thought to check.
The AlertMonitor way: Alert at 2:15:42 — new device on VLAN 20, port 14 of SW-IDF-02, sustained 940 Mbps saturating the IDF uplink. Ticket auto-created with topology attached. Tech applies a port cap or calls the developer. Root cause in under five minutes, no SSH required.
That is the difference between a 40-minute incident and a five-minute one. Same network. Same load. Different visibility.
Practical Steps You Can Take Today
1. Find the devices your tools do not know about
Run this from any domain-joined Windows machine. It sweeps the ARP table for a subnet and flags devices whose hardware vendor does not match your known fleet:
# Sweep the ARP table for a subnet and flag devices from unknown hardware vendors
$knownOuis = @('00-50-56', '00-0C-29', 'B8-CA-3A') # VMware + your own fleet's MAC prefixes
Get-NetNeighbor -AddressFamily IPv4 -State Reachable, Stale, Probe |
Where-Object { $_.IPAddress -like '192.168.10.*' -and $_.LinkLayerAddress } |
ForEach-Object {
$oui = (($_.LinkLayerAddress -split '-')[0..2]) -join '-'
[PSCustomObject]@{
IPAddress = $_.IPAddress
MAC = $_.LinkLayerAddress
OUI = $oui
Status = if ($knownOuis -contains $oui) { 'Known' } else { 'REVIEW ME' }
IfIndex = $_.InterfaceIndex
}
} |
Sort-Object Status, IPAddress |
Format-Table -AutoSize
Anything marked REVIEW ME is a candidate: a camera, a printer with Wi-Fi enabled, a developer's AI rig. In AlertMonitor, continuous discovery performs this sweep network-wide, permanently, and raises a new-device alert the moment it finds one.
2. Find out what is phoning home
New AI services almost always mean new outbound HTTPS connections. This shows every process holding an established port 443 connection — a quick way to spot the unapproved desktop AI assistant or a local model server syncing models:
# List every process holding an established outbound HTTPS connection
Get-NetTCPConnection -State Established -RemotePort 443 |
ForEach-Object {
$proc = Get-Process -Id $_.OwningProcess -ErrorAction SilentlyContinue
[PSCustomObject]@{
RemoteIP = $_.RemoteAddress
PID = $_.OwningProcess
Process = $proc.ProcessName
Path = $proc.Path
}
} |
Sort-Object Process -Unique |
Format-Table -AutoSize
3. Verify your SNMP coverage — the silent failure
Most discovery gaps are not tool gaps; they are SNMP gaps. If a switch stops answering SNMP, your monitoring quietly polls nothing and reports green. Confirm your core gear actually answers:
# From your monitoring box: confirm SNMP actually answers on a core switch
snmpwalk -v2c -c <community> 10.10.0.2 sysName
# Pull live interface up/down state — the data a link-flap alert is built on
snmpwalk -v2c -c <community> 10.10.0.2 IF-MIB::ifOperStatus
If the first command times out, you have found a blind spot that no amount of dashboards will fix.
4. Turn discovery into policy in AlertMonitor
- Enable continuous discovery across every subnet — including the ones nobody admits exist.
- Create a new-device alert policy: high severity for server and management VLANs, informational for user VLANs.
- Wire network alerts to auto-created helpdesk tickets with topology context attached, so triage starts with answers instead of questions.
- Map your application dependencies — including external AI endpoints — so you never again see green dashboards sitting next to a broken app.
- Retire the Visio. The live map is the source of truth, and it updates itself.
Aiven is building a gateway so companies can see and control what their AI spend is doing. Your network deserves the same deal: a single live view of everything actually out there, and an alert the moment it changes.
Related Resources
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