For years, the cybersecurity industry has had a predictable answer to emerging threats: buy another tool.
Ransomware problem? Add a product. Worried about endpoints? Add another. Cloud security, identity protection, email security, vulnerability management?
There is a platform for each.
Individually, many of these technologies play important roles. Collectively, however, they can create a different problem: complexity.
For US businesses, particularly small and midsize businesses (SMBs) without large security teams, the question is no longer simply whether they have enough cybersecurity technology. It is whether their people can actually operate it effectively.
Research suggests that balance is becoming increasingly difficult to maintain. Research published in 2026 found that security operations teams are working across an average of 10.9 consoles, while 66% of SOCs lose a fifth of their working week simply aggregating and correlating data.
That should concern every business leader, as a security stack is supposed to make an organization easier to defend. If maintaining that stack starts consuming the time needed to investigate threats, something has gone badly wrong.
More visibility can create bigger blind spots
The assumption behind adding security tools is straightforward: more technology means more visibility, and more visibility means better protection.
In practice, it doesn’t always work that way.
Every new platform can introduce another dashboard, another set of alerts, another data source and another workflow for somebody to manage. If those systems aren’t properly integrated, analysts can end up manually moving between products to understand what is happening.
One tool detects unusual login activity. Another sees suspicious endpoint behavior. A third identifies unexpected network traffic. Each piece of information might look relatively insignificant in isolation.
Connect those signals, however, and they could reveal an attack in progress.
That’s the real danger of tool sprawl. Organizations can have enormous quantities of security data yet still lack the context needed to understand it.
The result is a strange paradox: businesses can simultaneously have more security visibility and less clarity.
Alert fatigue is a security problem
The same issue applies to alerts, with research finding that 42% of security alerts go uninvestigated, while an estimated 46% are false positives. When analysts spend their working day sorting meaningful warnings from background noise, maintaining concentration becomes increasingly difficult.
Alert fatigue isn’t simply an inconvenience for security professionals. It can become a vulnerability.
An organization doesn’t benefit from detecting suspicious behavior if the warning gets buried among hundreds of low-priority notifications. Attackers only need one genuine signal to be overlooked.
This is particularly important for SMBs. Large enterprises may operate 24/7 security operations centers with specialist analysts assigned to different technologies. A midsize company might instead have a small IT team responsible for cybersecurity alongside infrastructure, cloud services, user support and everything else required to keep the business running.
Giving that team another dashboard doesn’t necessarily give them more security.
It might simply give them more work.
MSPs face the complexity problem at scale
For managed service providers (MSPs), the challenge is amplified.
An MSP may be protecting dozens or hundreds of customers, each with different environments, users, devices and risk profiles. Multiply that by a fragmented collection of security products and operational complexity can grow rapidly.
That has commercial consequences as well as security implications.
Every unnecessary manual process consumes technical resources. Every disconnected platform requires expertise. Every alert that needs to be investigated without sufficient context takes time that could be spent protecting customers.
MSPs therefore need to think about security architecture not simply in terms of capabilities, but operational efficiency.
The objective shouldn’t be to assemble the biggest possible security stack. It should be to create an environment in which technologies work together, information is correlated and people can quickly understand which threats actually require action.
Simplification doesn’t mean weaker security
This doesn’t mean businesses should start ripping out security products indiscriminately.
Simplification is about removing unnecessary complexity, not necessary protection.
Organizations should regularly examine what their security technologies actually contribute. Where do capabilities overlap? Which products generate alerts that rarely result in action? Where are analysts manually transferring information between systems? Which tools integrate properly, and which operate effectively as islands?
These answers can expose inefficiencies that have gradually accumulated as the security stack has expanded.
Automation can also help by correlating information and filtering repetitive activity before it reaches an analyst. But automation should serve the same objective as consolidation: giving people better context and fewer distractions, rather than introducing another layer of technology they have to administer.
Cybersecurity vendors have spent years competing on the number of capabilities they can offer. For businesses and MSPs, a different measure increasingly matters: how easily those capabilities can actually be operated.
The best cybersecurity environment isn’t necessarily the one with the most products. It’s the one that makes the real threat impossible to miss.
