Know the current state of every asset you own, and how far you are from the coverage you agreed to reach.

Most asset tools give you a searchable list and leave the interpretation to you. Asset Intelligence is delivered as a service with agreed outcomes: named deliverables, measured against targets you sign off.

What you get
Each has a target, a delivery date, and a status.

A complete asset inventory across cloud, infrastructure, application and business systems
An ownership record showing who is accountable for what
A business service map linking assets to the services they run
A dependency map showing what depends on what
A boundary map showing what sits outside your agreed scope, and why

What counts as an asset
Twelve classes, all in scope:

Endpoint — laptops, servers, VMs, containers, appliances

Identity — user accounts, service principals, roles, certificates

Network — subnets, firewall policies, VPNs, zones, load balancers

Cloud — accounts, subscriptions, managed services, buckets

Software — packages, images, repos, pipelines, database engines

Data — stores, warehouses, lakes, file shares, pipelines

Model — each version in production

AI — agents, assistants, pipelines

API — each endpoint you expose or consume

App — web, mobile, SaaS instances

Facility — sites, data centres, server rooms

Physical — OT controllers, sensors, badge readers, connected devices

How they are counted:

Chrome v120 on 5,000 laptops is one software entity; the laptops are counted as endpoints. A 10 GB and a 10 TB database are each one. Your scanner's hostname, your CMDB's service tag and your cloud instance ID are one asset, counted once.

Where the data comes from
We read from the tools you already run — endpoint detection, cloud security, identity, network, WAF, PAM, CMDB, cloud APIs. Over 100 connectors, including CrowdStrike, Zscaler, Akamai and BeyondTrust. If a source is not connected, that class shows incomplete coverage and the score says so.

Runs in your environment

Asset Intelligence runs in your own Azure environment. You provide the subscription and the infrastructure runs on your Azure commitment; we operate the platform on it. Requirements are supplied before onboarding. Uses Azure AI Foundry, so there is no GPU procurement and onboarding runs in weeks rather than months.

Current state, with a date on it
For every asset: where it sits, what it runs, who owns it, what it depends on, what it is exposed to, and when we last confirmed it. State is tracked in 15-minute windows across the day, so you can see when an asset changed rather than only that it did. Because every record carries a confirmation date, we can tell you when something has gone stale, not just when it is old.

Every number leads somewhere
Coverage figures are tied to the deliverable that produces them. Ownership coverage at 81% against a target of 88% resolves to the specific assets with no accountable owner, and to the work under way to close that gap. A critical risk score resolves to the events, users and thresholds that produced it.

Measured facts and reviewed judgements stay separate
Criticality is calculated from data. Whether an asset is a crown jewel is a judgement someone made and can be asked to defend. We keep the two apart, because merging them means measuring the wrong thing.

Choose decision and action autonomy level

Foundational: we report, you decide. Adaptive: we recommend, with the evidence. Autonomous: we act within limits you set. Autonomous is priced lowest. Delegated decisions need less human intervention, and the saving goes to you. Autonomous is reached on evidence from how the service has run, not selected at signing. This listing is Foundational; Adaptive and Autonomous are quoted directly. Priced on the entities under management and the Outcomes you contract. Add an Outcome and you don't pay for your assets again. Plans cover up to 5,000 entities. Larger estates are quoted separately.

Asset Intelligence by Human Managed

por Human Managed