This is part two of our series introducing the MoCy Platform. Part one covered the platform architecture; and part three will be published soon: integrating your network with MoCy Interconnects.
Every infrastructure vendor now ships an AI assistant. Nearly all of them work the same way: your telemetry — configurations, logs, authentication events, the operational fingerprint of your entire network — is shipped to the vendor's cloud, pooled into a multi-tenant platform, and analyzed next to everyone else's. The intelligence is real. So is the trade you made to get it. We have seen many products start to adopt local model running within on-premise appliances and applications, but the use cases are limited.
For the enterprises we serve — banks, hospitals, governments, critical infrastructure — that trade is often simply unavailable. Configuration and analytics metadata is a map of your organization: every user, every device, every site, every policy decision. Sending it offsite to be pooled with strangers' data isn't a privacy nuance. It's a non-starter.
The conventional conclusion is that these organizations must choose: AI-driven operations, or data privacy. We think that's a false choice, produced by an accident of architecture. If the AI lives in the vendor's cloud, your data must travel to it. So we inverted it.
The MoCy AI Agent runs inside your organization tier — within your dedicated cloud account, alongside your enclave configuration, state, checkpoints, and telemetry. It doesn't reach across the internet into your environment, and your data doesn't stream out to a shared brain. The agent comes to your data; your data never goes to the agent's.
Architecturally, the agent is a first-class citizen of the same boundary that protects everything else about your organization:
Monitor. The agent watches your enclaves continuously — service health, node performance, capacity, certificate lifetimes, interconnect state — 24×7, with the platform's real-time telemetry as its raw material. This is how the platform notices the disk error, the latency creep, or the tunnel flap before it becomes your outage.
Assess. This is where two decades of ModernCyber's expert practice becomes software. Our engineers have spent years performing ISE health and configuration assessments for some of the world's largest networks — the discipline that finds the 82.9% policy duplication, the backup scheduled during production hours, the node running 200 days without a reboot. The agent runs that discipline continuously: automated health assessments of your ModernISE deployment, on demand or on schedule, with summaries and full downloadable reports in the MoCy App. What used to be an annual consulting engagement is now a standing property of your infrastructure.
The output isn't a wall of green checkmarks. It's the same thing you'd get from our best engineer after a week in your deployment — findings, root causes, and a prioritized path to fix — except it never leaves, never sleeps, and reads every log line.
Monitoring and assessment are the trust-building phase of a longer arc. The platform is API-first and every enclave is defined as code, which means the distance between "the agent recommends this change" and "the agent safely makes this change" is short — and we're closing it deliberately.
On our roadmap, the agent moves from recommend to configure: proposing a remediation, showing you exactly what will change, taking a checkpoint, applying the change through the same lifecycle automation that deploys everything else, and rolling back automatically if validation fails. Human approval gates every step until you decide it shouldn't. Because every action flows through declared state and checkpoints, an agent-driven change is safer than a manual one — it is reviewed, recorded, and reversible by construction.
ModernISE is the first service the agent monitors, assesses, and will one day help configure. It will not be the last — the agent, like the platform, is service-agnostic, and each new MoCy service arrives with the same private intelligence built in.
We hold our AI to the same standard we hold every other component of the platform: least privilege, strong boundaries, verified behavior.
We believe this is what AI for critical infrastructure has to look like: not a smarter dashboard in someone else's cloud, but a private expert that lives where your data lives, works while you sleep, and earns — action by logged action — the right to do more.
Your data stays yours. Your sovereignty stays intact. And your infrastructure gets an expert that never leaves.