The Hidden Economics of MSSP Investigations

The Investigation Bottleneck Hiding Inside Your SOC

For a managed security service provider, winning another customer is usually only good news if the operation can absorb the work without reducing margins.

Monitoring scales comparatively well. Platforms centralise events, detections can be standardised and alert-handling processes can be distributed across shifts. Investigation is harder. The moment a customer asks what actually happened or whether it is safe to recover, the work inevitably becomes more bespoke and deeper, requiring scarce expertise, and thus more variable in effort and cost.

This is where many MSSPs encounter a growth ceiling. The constraint is not simply the number of alerts their platform can ingest and alert on. Increasingly, it is the number of defensible investigations the team can complete end to end without senior analyst time becoming a bottleneck.

Investigation work is non-linear

An alert may be handled in minutes when its context is complete, but sometimes, a genuine incident doesn’t behave so neatly.

Evidence may be spread across endpoints, cloud workloads and identity systems. One artefact, rather than resolving the issue, opens new questions that require additional data only available on another host. A hand-off from L1 to L2 or L3 often means the next analyst has to rebuild their own context. If the existing tools cannot establish root cause or scope, the team may need to deploy specialist collection tooling or even involve an outside forensic provider.

Each exception adds delay and eats more senior time. As customer volume grows, these exceptions compound.

Binalyze’s State of Cybersecurity Investigations 2026 shows how widespread the constraint has become. Ninety per cent of CISOs said skills gaps had hampered investigations, only 32% believed they had all the skills required to investigate fully in-house, and 71% were worried that skilled investigators were overworked and at risk of burnout.

For an MSSP, this is both a customer problem, and a delivery problem. Customers often turn to their MSSP to fill an investigation gap, but the provider’s most experienced investigators also become its hardest resource to scale. 

Adding analysts is not a complete scaling strategy

Hiring matters, of course, but it can never fully make an inconsistent workflow repeatable and scalable. 

If each investigation relies on an expert deciding what to collect, moving data between tools, reconstructing the timeline and having to reconstruct and explain their conclusion from scratch, investigation workloads rise almost in step with customer numbers. Senior responders remain bogged down in routine data acquisition and triage because the processes depend on the knowledge held in their heads.

This creates three commercial impacts:

• Delivery costs rise with case volume.
• Response quality varies according to who is available.
• The provider becomes cautious about promising deeper services to more customers.

The operational goal should be to separate repeatable investigative work from the work that requires human judgement from a senior expert.

Build a repeatable evidence layer

A scalable investigation always begins and ends  with fast access to the relevant evidence.

When remote collection, automated analysis, timeline construction and case management are part of the standard workflow, analysts do not need to assemble a temporary forensic process after each and every escalation. First responders can gather investigation-ready context, so the next analyst can continue in the same case, and Senior staff can spend their time on the cases that genuinely require judgement and on deciding how to respond. 

This necessitates more than just automating a checklist. It requires a closed investigation loop:

1. Start with the signal from the SIEM, EDR or XDR.
2. Frame the questions that determine whether the activity is benign or malicious.
3. Collect the relevant forensic artefacts from the affected systems.
4. Test the hypotheses against those artefacts.
5. Expand the collection only where the evidence leaves a material gap.
6. Conclude with a confirmed, refuted or explicitly inconclusive finding.

The loop has to be bound by evidence. Collection and analysis can run quickly and consistently, but people retain control of actions that could materially affect the customer. 

Capacity without compromise

For service providers, the gains materialize on several levels.

• More cases per team. Analysts spend less time deploying tools, gathering data manually and rebuilding context after hand-offs.
• More consistent service across customers. A common investigative workflow reduces the difference between the experience delivered by one shift, analyst or region and another.
• Better use of senior expertise. Experts review evidence and resolve ambiguity instead of serving as the collection engine for every case.
• Faster customer communication. Teams can report what is known, what has been ruled out and what remains unresolved without waiting for an improvised forensic process.
• A stronger basis for automation. Repeated investigations can be measured for time to first evidence, time to scoping confidence, escalation rate and consistency of verdicts.

Crucially, achieving these efficiencies does not require the MSSP to replace its entire detection stack. SIEM, EDR, XDR and SOAR still generate and orchestrate useful signals. But the investigation layer completes the workflow by giving analysts access to the endpoint and cloud evidence needed to turn those signals into answers.

Measure capacity by outcomes, not alert volume

Alert counts are easy to report, but ultimately say little about the work customers value most. A better operating view asks:

• How long does it take to acquire the first useful evidence after escalation?
• What proportion of cases reach scoping confidence without senior intervention?
• How often is work repeated after a hand-off?
• How many investigations end without a defensible root-cause assessment?
• How much expert time is spent on collection rather than judgement?

Improving those metrics is how you create real margin-friendly  capacity. This way, an MSSP can grow without allowing service quality, margins or analyst wellbeing to absorb the cost.

The MSSPs that stand out are never really those who process the greatest number of alerts. It is those who can turn more of those alerts into fast, consistent and defensible investigations.

Explore how Binalyze helps MSSPs and incident response providers expand investigative capacity without increasing operational complexity.

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About guest author Oliver Rochford

Oliver has worked in cyber security as a penetration tester, consultant, researcher, and industry analyst for companies like Qualys, Tenable, Verizon and Securonix. He has been interviewed, cited, and quoted by the media, think tanks, and academic institutions, and has written for Securityweek, and CSO Online.

While at Gartner as an analyst, he co-authored the Security Information and Event Management (SIEM) Magic Quadrant and co-named the Security Orchestration, Automation, and Response (SOAR) market. He runs his own tech advisory firm, the Cyberfuturists, and publishes the Curious AI newsletter and aisocnews.com.

Follow Oliver on LinkedIn.