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02/08/2026 9:38 am
TL;DR: MSSP benchmarking is shifting from output counts to efficiency ratios, with LimaCharlie citing MSSP Alert data that participating providers grew revenues to $8.95 billion in 2024 and that 78% of top providers now run SOCs entirely in-house. The decisive question is whether operational leverage comes from programmable security infrastructure or simply more people.
NHIMG editorial — based on content published by LimaCharlie: The MSSP Efficiency Scorecard: 5 Metrics That Separate Infrastructure-Led Providers from Headcount-Led Ones
By the numbers:
- Participating MSSPs grew revenues to $8.95 billion in 2024.
- The report found that 78% of top providers now run SOCs entirely in-house.
- A 5,000-endpoint environment in the Tiered SOC configuration typically generates around 50 detections per day.
Questions worth separating out
Q: How should MSSPs measure whether security operations are scaling efficiently?
A: MSSPs should use revenue per technician, automation rate, onboarding time, and margin by service line together.
Q: Why does automation rate matter more than alert volume in managed security?
A: Alert volume only shows demand.
Q: What breaks when agentic security workflows are not access-controlled properly?
A: When agentic workflows lack scoped permissions, tenant boundaries, and audit trails, they become difficult to trust and hard to contain.
Practitioner guidance
- Track revenue per technician as a governance metric Calculate ARR divided by analysts and engineers every quarter, then segment the number by service line and customer cohort.
- Measure automation rate from ticket closure to action completion Do not stop at whether an alert was acknowledged.
- Scope non-human operator access explicitly Treat agentic security workflows as non-human identities with tenant-specific permissions, approved action boundaries, and audit logging for every containment or investigation step.
What's in the full article
LimaCharlie’s full blog covers the operational detail this post intentionally leaves for the source:
- Service-line margin examples that show how different MSSP offerings behave under automation.
- Implementation detail on how agentic triage, containment, and threat hunting are orchestrated through APIs.
- Operational examples of infrastructure-as-code deployment across multi-tenant environments.
- Cost-per-alert breakdowns that distinguish false positives, containment, and deeper investigation work.
👉 Read LimaCharlie’s analysis of MSSP efficiency metrics and scalable SOC operations →
MSSP efficiency metrics: is your SOC scaling through software?
Explore further
02/08/2026 12:33 pm
Infrastructure-led MSSPs are winning on governance, not just tooling. The article’s core point is that operational leverage now depends on how security work is structured, measured, and repeated across tenants. That is not simply a SOC efficiency story. It is a governance model where identity, permissions, and machine-executed workflows determine whether growth stays linear or becomes reusable.
A question worth separating out:
Q: Which governance controls matter most when SOC work is shared across tenants?
A: The most important controls are tenant isolation, least privilege for human and machine operators, immutable logging, and standardised playbooks. Shared operations can scale safely only when each action is attributable, reviewable, and limited to the minimum environment needed to complete the task.
👉 Read our full editorial: MSSP efficiency now depends on automation, not analyst headcount
