At Splunk .conf26, Cisco announced a wave of updates with one common thread: AI is moving into production, and IT teams need unified observability to keep up. Cisco AI POD for Splunk brings Splunk AI capabilities to on-premises and air-gapped environments. Splunk Agent Observability gained Tokenomics, so teams can see what their AI agents cost to run — token by token. There's also a new Observability Studio and a Network Intelligence App, aimed at troubleshooting problems that span applications and networks.
The direction is right: stop stitching answers together from five disconnected tools. But before you get to AI agent cost telemetry, there's a more fundamental question every IT manager and MSP tech should answer honestly: can you see your network right now?
Not the Visio diagram last touched in 2022. Not the quarterly scan report sitting on a shared drive. The network as it exists at 9:47 on a Tuesday morning — including the unmanaged switch someone zip-tied under a desk last week, the IP camera facilities added to the default VLAN, and the uplink that started flapping before anyone poured their first coffee.
If the honest answer is no, you're not alone — and it's fixable faster than you think.
What Cisco Announced, Translated for IT Ops
Three things in the announcement matter to anyone running infrastructure:
- On-prem AI (Cisco AI POD for Splunk). Enterprises with air-gapped or self-managed environments — hospitals, manufacturers, government contractors — want AI assistance without shipping telemetry to a SaaS. Compliance has kept them locked out until now.
- Agent Observability with Tokenomics. AI agents in production raise new operational questions: Is the agent behaving? What does it cost? What is it doing to the infrastructure underneath it? Cisco is answering the first two at the application layer.
- A Network Intelligence App. Even Cisco acknowledges that network context is mandatory for troubleshooting cross-stack problems. Applications don't fail in isolation — they fail because something underneath them broke.
The takeaway for the rest of us: consolidation wins. One system of record, live context, correlated alerts. That's the same logic AlertMonitor is built on — monitoring, RMM, helpdesk, patching, and network topology in one product — priced for IT teams and MSPs, not just Fortune 500 NOCs.
The Problem: Your Visibility Is Stale, Fragmented, and About to Get Worse
1. Discovery that runs nightly is discovery that lies
Most monitoring stacks scan on a schedule — nightly, or worse, weekly. Between runs, the inventory is fiction. Meanwhile, real networks change constantly: a tech swaps a failed access point, an intern plugs a consumer switch into a conference room, marketing brings in a printer with a static IP that collides with a server. Your monitoring tool has agents on the servers and knows nothing about any of it. When discovery finally runs again, fourteen "new devices" show up in a report nobody reads.
The consequence shows up at the worst possible moment: during an outage, you open the network diagram and discover it references a core switch that was decommissioned two hardware refreshes ago.
2. Siloed tools mean alerts without context
A typical mid-size environment: PRTG or Zabbix polling devices, Ninja or ConnectWise managing endpoints, ManageEngine or Freshservice running the helpdesk, and a spreadsheet as the real inventory. Now the third-floor access switch dies at 2 AM:
- The monitoring tool pages the on-call tech 18 times — once for the switch, once for each downstream device it can no longer reach.
- The helpdesk already has 5 tickets saying "Wi-Fi is down on 3," filed by users who woke up before the on-call phone did.
- Nobody connects the two, because the systems don't share data.
- The tech burns 30–40 minutes reconstructing the dependency tree — what's behind that switch, which VLANs are impacted, which endpoints are agent-based and should still be reachable — before touching a single cable.
That's not a monitoring gap. That's a visibility architecture failure.
3. AI workloads are about to make it worse
The entire point of the .conf26 announcements is that AI agents are going into production. Agents generate bursty, east–west traffic — agent to API, agent to vector database, agent to internal tooling — in patterns nothing on your network was sized for. Tokenomics will tell you what that costs in dollars. But what tells you when an agent's inference bursts saturate a distribution uplink and start degrading VoIP for an entire floor? Today, in most shops: an angry user, a stuttering Teams call, and a technician playing traceroute whack-a-mole.
What this actually costs
- Industry figures have long placed unplanned downtime at thousands of dollars per minute — and every minute of manual triage is a minute added to that bill.
- MSPs eat SLA credits and uncomfortable account-manager calls for outages they technically detected — but detected too late, and with zero context to respond quickly.
- Technician burnout compounds: a 2 AM page for a printer IP conflict, while the root cause — the misconfigured switch upstream — never triggered anything because it sat outside monitoring scope. Repeat that pattern nightly and watch your best admin update their LinkedIn.
How AlertMonitor Makes the Network Visible Again
This is the gap AlertMonitor was built to close — the same consolidation logic Cisco is selling, applied at the layer most teams still can't see.
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 just the servers that happen to have an agent installed. When a new device appears, an alert fires. When a device disappears, an alert fires. The inventory is never a snapshot; it's a live feed.
A topology map that reflects reality
The live topology map is always current. When a switch goes offline, a link drops, or a new device appears, the map changes and an alert fires instantly — with full network context. Not "SW-FLOOR3-02 unreachable." Instead: "SW-FLOOR3-02 offline — 14 workstations, 2 printers, and 22 VoIP phones on VLAN 30 are downstream." One correlated alert instead of 18 pages. The 2 AM triage archaeology disappears, because the platform already knows what's connected to what.
One platform instead of five tabs
Because monitoring, RMM, helpdesk, and patch management live in the same product, the workflow collapses:
Old way: alert in the monitoring tool → open the stale Visio to guess dependencies → check the RMM for the endpoint owner → pivot to the helpdesk for related tickets → remote in → patch status unknown → open a fourth tool anyway.
AlertMonitor way: one alert with the topology attached → click the affected device → see its tickets, remote straight into it, check patch status, and act. Everything is already linked because it was never split apart.
Teams running this way routinely cut detection-to-triage from 30–60 minutes to under five — not because anyone got faster, but because the context that used to require four tools arrives attached to the first alert.
Practical Steps You Can Take Today
1. Find the devices your monitoring tool missed
Run this sweep against your user VLANs and compare the output to your monitoring inventory. Every live device that isn't in your tool is a blind spot:
# Requires PowerShell 7+ (uses ForEach-Object -Parallel)
# Sweep a /24 and list live devices
$subnet = "192.168.10"
$live = 1..254 | ForEach-Object -Parallel {
$ip = "{0}.{1}" -f $using:subnet, $_
if (Test-Connection -ComputerName $ip -Count 1 -Quiet) { $ip }
} -ThrottleLimit 64
# Pull MACs from the local ARP cache so you can identify vendors (OUI lookup)
Get-NetNeighbor -AddressFamily IPv4 |
Where-Object { $_.IPAddress -in $live -and $_.State -ne 'Permanent' } |
Select-Object IPAddress, LinkLayerAddress, State |
Sort-Object { [version]$_.IPAddress }
2. Ask your switches directly what's happening
If you have snmpwalk available, verify port state and descriptions in seconds — useful for confirming what your monitoring claims before you escalate:
# Which interfaces are up (1) vs down (2) on the access switch?
snmpwalk -v2c -c 'your-community' 192.168.10.2 IF-MIB::ifOperStatus
# Pull port descriptions to map ports to rooms, desks, or departments
snmpwalk -v2c -c 'your-community' 192.168.10.2 IF-MIB::ifAlias
3. Catch failing links before users do
Bad optics and flapping links show up in NIC error counters long before someone complains about "slow Wi-Fi":
# Check error and discard counters on critical servers
Invoke-Command -ComputerName FILE01,SQL01,DC01 -ScriptBlock {
Get-NetAdapterStatistics |
Select-Object Name, ReceivedErrors, SentErrors, ReceivedDiscards, SentDiscards |
Where-Object { $_.ReceivedErrors -gt 0 -or $_.SentErrors -gt 0 }
}
If a server NIC is quietly racking up errors, you've found a cable, transceiver, or switch port to replace this week — instead of a ticket queue to fight next month.
4. Put discovery on autopilot
Then stop doing this by hand. In AlertMonitor: enable continuous network discovery across your scopes (per client, if you're an MSP), set an alert policy for new devices and dropped links, and make the live topology map the first stop of every triage. The map shows the blast radius, the integrated helpdesk shows the user reports, and the RMM gets you into the affected machine in one click.
The Bottom Line
Cisco is right: unified observability — one place where agent behavior, cost, and infrastructure impact come together — is where IT operations is heading, and AI agents in production will make it non-negotiable. But you don't need a Splunk-scale deployment to fix the layer underneath all of it. Live discovery, a topology map that's actually live, and alerts that carry context will do more for your MTTR this quarter than any AI roadmap will do this year.
See your network the way it actually is. Then worry about the agents.
Related Resources
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