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Cloud Based Asset Management Software, Without Limitations

Most cloud-delivered asset management tools cover software and quietly drop the hardware and cloud data underneath it. Four places that gap costs you money.

First published in July 2019. Updated on migration so that what it says about CerteroX is true of the product today.

Cloud-based IT asset management software is among the most widely bought categories in enterprise IT, and among the most disappointing. The reason is usually the same: the tool covers one asset class and quietly assumes you have the others covered somewhere else.

What “cloud based asset management software” actually means

The phrase normally gets used to mean the tools you deploy to improve governance and security of hardware assets. In practice it has to mean more than that. It has to cover software and cloud applications as well, because asset lifecycle management only works when hardware, software and cloud are the same record.

Take something simple: tracking your Windows and Mac assets. You need the hardware data and the software data and, increasingly, the SaaS data about what those users are signed into. Any one of them on its own is close to useless. Knowing a laptop exists tells you nothing about the licensing risk sitting on it. Knowing an application is installed tells you nothing about whether the machine it is installed on was decommissioned last quarter.

Most of the tools in this category were built decades ago for on-premises deployment, and many were never genuinely modernised — they were re-hosted. A SaaS delivery model wrapped around an architecture that assumes an on-premises data collection tier is not the same thing as a SaaS product, and the difference surfaces the first time you ask it for data it was never designed to hold.

As organisations move more of what they run to the cloud, those tools drift further from the strategy they are supposed to support. Several vendors have responded with cut-down SaaS versions, but the scope is usually narrow: Microsoft applications on PCs and laptops, and nothing else. They do not cover assets already migrated to cloud, they do not cover other device types, and critically they contain no hardware data at all.

Where the gap costs you

Licence compliance

While anything remains on-premises, managing licences properly requires data from both sides — the hardware and the software installed on it. Without the hardware data you will have applications running in parts of your environment you cannot see, and you cannot manage what you cannot see.

Most cloud-delivered asset management tools do not give you that data. They cover software, and they discard or never collect the hardware data underneath it. The limitation goes further than that, though. Many cannot even discover all your software, because recognition is only as good as the recognition database behind it. If an application is not in the vendor’s library, the tool has nothing to say about it — and you have no way of knowing it was there. The resulting data set is hard to trust and close to impossible to validate, which is exactly the position you do not want to be in when a publisher asks you to prove something.

This is worth asking about directly in an evaluation. The relevant question is not “do you have a recognition database” but “how large is it, how is it maintained, and what happens to a title that is not in it”. CerteroX SAM resolves against a Software Recognition Database of more than 3.5 million titles, with centrally maintained categorisation, release date, end-of-support and extended-support dates, and SWID tag support with UNSPSC classification.

Licence optimisation

For organisations migrating to cloud, the pressure shifts from compliance to optimisation. There are real cost benefits to running in cloud, and real new risks: an expanding environment nobody has a full picture of, applications bought outside procurement, and bills that arrive larger than anyone forecast.

The 2019 version of this argument was that most cloud-based asset management tools could not discover or inventory cloud and SaaS applications at all, so you would have to buy a second tool, and then a third, and stitch the outputs together by hand — assuming the SaaS tool would let you export at all, which many would not.

That is no longer a gap you have to live with, so here is what covering it properly looks like.

CerteroX SaaS Management discovers applications through three converging signals rather than one: identity provider sync from Entra ID and Okta, 47 vendor connectors pulling authoritative user and licence lists from the source, and a browser extension that detects SaaS domains with time-on-app and per-user attribution. Those signals resolve against a catalogue of more than 35,000 applications. Unused licences surface at 30-plus days of zero usage, app rationalisation ranks overlapping applications by recoverable saving, and renewals appear with days-to-renewal against actual utilisation rather than seat count.

CerteroX Cloud Management covers twelve cloud and data platforms with a cost model built on FOCUS, the FinOps open cost and usage specification, so the data stays portable rather than locked in a vendor schema. Optimisation runs as twenty-six named, individually tunable checks — abandoned instances, obsolete snapshot chains, instances stopped but not deallocated, rightsizing, reserved instance and savings plan opportunities — rather than an unexplained “potential savings” figure. Certero’s average cloud cost saving across environments under management is 38%.

The point is not the feature list. It is that both of those run on the same data model as the hardware and software records, so a holistic analysis across on-premises and cloud does not require an export.

Governance and security

For governance, SaaS-only tools give you limited visibility of software and no hardware or cloud data. As above, you procure a second tool for hardware — and the vendors who supply that data often cannot deliver it as SaaS, so it is deployed on-premises.

That works against a cloud-first strategy and creates a compounding problem. Instead of two systems with two data sources and two formats, you now have three, and more again if you want data centre coverage. And because the SaaS tool for software frequently will not let you export, you cannot manually bridge the gap even if you are willing to.

Without visibility you cannot govern. That includes identifying and resolving security exposure across hardware and the software running on it. If you cannot see all your hardware and everything installed on it, you are exposed to threats you do not know exist and therefore cannot resolve.

There is a modern version of this problem that the original article predates. The exposure is no longer only unpatched software on unmanaged hardware; it is also the OAuth grant a departed employee gave a third-party application that still has read access to a company drive. CerteroX SaaS Management discovers consented third-party grants, scores them from 0 to 100 on data sensitivity, scope, consent and dormancy, and revokes them in one click or as a workflow action. Offboarding is tracked per user, per licence, with the revocation status behind each one — so you can prove it finished, rather than assume it did.

Digital transformation

Change programmes involve retiring older hardware and software and replacing it with something newer. That cannot be done quickly without visibility of both the current and the intended future state. With it, you can see what needs retiring, whether it needs replacing, and what the replacement looks like in the new environment.

With a SaaS tool for software, a second tool for hardware and a third for cloud, you cannot assemble that view fast enough to matter. Falling back to a fully on-premises tool set does not help either — the manual work is still there. The best case is that the programme slows down. The worst case is that it stalls.

The criteria, summarised

Judged against the categories above, the recurring limitations of the older generation of tools are:

  • No end-to-end SaaS option covering hardware, software and cloud together
  • Separate logins per tool, with conflicting interfaces
  • Fragmented data sources in inconsistent formats
  • Incomplete data across vendors and device types
  • Manual processes and data entry between every step

Those are architectural symptoms rather than feature gaps, which is why they do not get fixed by the next release. There are vendors making large claims about having solved them. Do not take the claim — make the vendor show you the architecture doing the work.

What one data model actually buys you

CerteroX is five products on one platform and one data model: CerteroX ITAM, CerteroX SAM, CerteroX SaaS Management, CerteroX Cloud Management and CerteroX AI Management. One login, one interface, one normalised data source.

Coverage runs across six operating system families — Windows, macOS, Linux, IBM AIX, HP-UX and Oracle Solaris — with mobile device management for iOS and Android, virtualisation from VMware, Hyper-V, Citrix, IBM HMC, Oracle VM, oVirt and Nutanix, dedicated licence engines for Microsoft, Oracle, IBM, SAP, Adobe and Salesforce, and the SaaS and cloud coverage described above. It deploys as SaaS, on-premises or any hybrid combination, with the same functionality in each.

The reason that matters is not that it is a longer list. It is that a compliance position, an optimisation decision and a security question all resolve against the same record, so nobody has to argue about which system is right first.

One record, one position, one place the action happens. Talk to us or book a demo.

Related reading

Other posts covering the same ground.

From reading to evidence

Put the hardest claim here
to a technical person.

Everything argued above is checkable. Name the publisher, the billing account or the platform you would argue with, and the session is built around it — the reasoning attached, not a summary slide.

No gated download at the end of it.