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01/08/2026 8:58 pm
TL;DR: Threat hunting remains a premium MSSP service, but the economics break when senior hunters cost around $235K and delivery still scales with headcount, according to Dropzone AI. Automating the hunt compresses investigation time, expands coverage across client stacks, and turns every hunt into a billable audit rather than a labour sink.
NHIMG editorial — based on content published by Dropzone AI: How MSSPs Can Deliver Threat Hunting as a Profitable, Scalable Service
By the numbers:
- Senior hunter compensation commonly runs from roughly $177K to over $300K, with senior roles averaging around $235K, according to Glassdoor.
- Staffing shortages are the number one barrier to a successful hunting program, as named by 61% of organizations in the SANS survey.
Questions worth separating out
Q: How should MSSPs make threat hunting scalable without losing quality?
A: Standardise the hunt catalogue, automate the repetitive investigation steps, and require every hunt to produce a written outcome.
Q: Why does threat hunting often expose identity risk as well as attacker activity?
A: Because real intrusions move through credentials, privilege, and authentication before they become obvious in endpoint or network telemetry.
Q: What breaks when threat hunting depends entirely on senior analysts?
A: The delivery model becomes expensive, inconsistent, and hard to scale.
Practitioner guidance
- Package hunts as repeatable service tiers Define a fixed hunt catalogue with clear triggers, evidence requirements, and client deliverables so the service can be sold and fulfilled consistently across accounts.
- Automate the first-pass investigation loop Use cross-source search across SIEM, EDR, cloud, and identity data to reduce the manual query-refine-repeat cycle that consumes senior time.
- Write up negative hunts as formal outputs Require each hunt to end with a client-ready record of what was tested, what telemetry was available, what was not found, and which gaps or detections should be addressed next.
What's in the full article
Dropzone AI's full article covers the operational detail this post intentionally leaves for the source:
- The economics behind senior hunter staffing and how MSSPs should think about pricing pressure across service tiers.
- The federated hunt workflow across SIEM, EDR, cloud, and identity tools, including how the agent reduces analyst effort.
- Examples of hunt packs and recurring audit use cases that the source article uses to illustrate service packaging.
- How the AI SOC Analyst and AI Threat Intel Analyst connect findings into a closed-loop operating model.
👉 Read Dropzone AI's analysis of how MSSPs can scale threat hunting profitably →
AI threat hunting for MSSPs: can the service scale profitably?
Explore further
01/08/2026 9:06 pm
Threat hunting becomes a governance problem once it is sold as a recurring service. The article shows that the bottleneck is no longer just analytical skill, but the ability to package scarce expertise into a delivery model that does not collapse under labour cost. That shifts the conversation from staffing to operating model, with margin, coverage, and repeatability becoming the real control objectives. Practitioners should treat hunting as a governed service line, not an ad hoc analyst activity.
A question worth separating out:
Q: How do security teams know whether threat hunting is actually working?
A: Threat hunting is working when teams can move from first suspicious connection to confirmed containment without long manual pivots. Useful signals include time to isolate, number of tools touched per investigation, and whether analysts can trace the full path from entry to impacted workload. If those metrics stay high, visibility is still fragmented.
👉 Read our full editorial: AI threat hunting for MSSPs: why the unit economics break
