There’s a risk building inside most financial institutions.
It isn’t a cyberattack, a new regulation, or even the rising cost of technology. It’s something much simpler.
Most organizations don’t actually know where their devices are.
That might sound like an operational nuisance, but in financial services it’s something far more serious. In conversations I’ve had recently with major banks and insurance providers across Canada, one number keeps coming up. Several leaders admitted they have only about 40 to 60 percent confidence in the accuracy of their asset records.
Think about that for a second. A large portion of laptops and endpoints are either mis-tracked, unaccounted for, or not governed properly. In many industries that creates inefficiency. In financial services, it creates risk.
Imagine a capital markets employee trading billions of dollars every day. Their laptop disappears somewhere in the shuffle of a refresh cycle, a role change, or an offboarding process. If that device still holds regulated access or sensitive information, the issue stops being operational.
It becomes a governance and compliance problem.
Financial institutions don’t lose points for poor inventory management. They lose accreditation, and the downstream impact of that kind of exposure is something no CIO or CISO wants to deal with.
At the same time, AI infrastructure is consuming enormous amounts of memory, storage, and semiconductor capacity, and hyperscale cloud providers are buying components at a pace the industry hasn’t seen before.
The result is a new reality for enterprise buyers. Lead times are stretching, certain components are being allocated instead of freely purchased, and pricing is moving around more than organizations are used to.
Companies that once refreshed devices like clockwork are discovering the supply chain isn’t predictable anymore. Expanding semiconductor manufacturing capacity takes years and billions of dollars, so these pressures aren’t disappearing overnight.
For financial institutions that depend on stable technology environments, this introduces a simple but uncomfortable question.
If devices are harder to buy and more expensive to replace, do you actually know how many you already have?
Not that long ago, device management was fairly straightforward. Organizations bought laptops, configured them, shipped them to employees, and repeated the process every few years.
Today, that model is changing quickly. Devices increasingly ship directly to an employee’s home and configure themselves once the user signs in. Touchless deployment has reduced operational overhead and accelerated onboarding for distributed workforces.
But it has also removed many of the physical control points IT teams once relied on. What used to be a predictable logistics process has become a distributed digital one.
When that happens, visibility becomes the control mechanism.
Without lifecycle discipline, the same patterns start to appear. Budgets spike unexpectedly because redundant devices stay in circulation. Security exposure grows when unmanaged endpoints remain active. Employees work on outdated tools that slow them down, and IT teams spend more time reacting than planning.
These issues show up in most enterprise environments. In financial services, the stakes are simply higher.
During one recent discussion, a technology leader summed it up perfectly: “We can’t fix what we can’t see.”
He’s absolutely right.
There’s another dynamic playing out beneath the surface.
Many organizations standardize a single hardware vendor. It simplifies procurement, support, and testing, and during stable supply conditions it works well.
When supply tightens, however, that strategy becomes a vulnerability.
If your preferred manufacturer can’t ship devices for six months, your entire refresh cycle can stall. Suddenly procurement isn’t the issue. Availability is.
The obvious answer is to introduce alternative device platforms. In theory, multi-vendor sourcing spreads risk and creates flexibility.
In practice, it introduces complexity. Organizations now have multiple hardware ecosystems to support, additional security validation requirements, and separate testing processes to maintain.
That’s where the conversation shifts from procurement to strategy. Endpoint fleets start to look less like standard purchasing decisions and more like investment portfolios.
Diversification reduces risk. But diversification also requires governance. Otherwise, organizations simply replace supply chain risk with operational chaos. Supply chain resilience and lifecycle governance are now closely connected.
When leaders step back and look at their endpoint environment more holistically, a clear pattern emerges.
Devices are no longer just employee tools. They are financial assets, security endpoints, and operational infrastructure all at once.
Managing that lifecycle properly produces real benefits. Organizations regain financial control by reclaiming unused or duplicate devices and building predictable refresh cycles. Risk drops when every endpoint can be tracked from deployment to retirement.
Operations stabilize because devices are aligned to employee roles, and employees benefit from consistent tools that allow them to work without friction.
These outcomes aren’t theoretical. They’re the result of organizations building maturity in how they manage their asset lifecycle.
For financial institutions operating under strict regulatory oversight, that level of maturity is quickly becoming table stakes.
Technology markets will continue to evolve. Supply chains will fluctuate. Device strategies will shift again as automation and cloud provisioning mature.
But one question will remain constant.
Do you actually know what you have?
Not just how many devices were purchased. But where they are, who is using them, whether they are secure, and whether they still belong in your environment.
When leaders can answer those questions with confidence, they gain something far more valuable than inventory accuracy.
They gain control.
In financial services, control is the difference between operational efficiency and regulatory exposure.
Technology environments are becoming more distributed, more automated, and far less tied to a physical office. Devices move across homes, offices, and remote workspaces, and that trend isn’t slowing down.
Organizations that treat asset lifecycle management as an afterthought will continue chasing problems after they appear. Those that treat it as a strategic discipline will move faster, spend smarter, and operate with far less risk.
The difference between those outcomes is visibility.
And visibility starts by asking better questions about the technology you already have.
If you’re thinking about how device lifecycle maturity affects risk, cost, and operational stability in your organization, Compugen’s team would welcome the conversation.