Key takeaways
- In-house SOC vs. MXDR is bigger than cost. The real comparison is capability, coverage, resilience, and control for the total investment.
- Your SOC costs far more than analyst salaries. SIEM, SOAR, EDR, infrastructure, specialist talent, detection engineering, and 24/7 coverage all count.
- Hiring more people won’t solve every capability gap. Sustaining deep expertise across cloud, identity, threat hunting, incident response, detection engineering, and AI internally is difficult.
- MXDR only creates value when it closes real gaps. Outsourcing an ineffective operating model simply moves the problem elsewhere.
- In-house can still be the right model. Scale, mature teams, specialized requirements, or strict operational constraints can justify retaining greater control.
Your SOC may be working. That doesn’t mean the operating model still makes sense.
A Security Operations Center can become expensive long before anyone calls it ineffective. The SIEM works, Endpoint Detection and Response (EDR) is deployed, analysts investigate incidents, detection rules get updated, and audits get completed. Yet underneath that apparent stability, the economics can start moving in the wrong direction.
Specialist roles become harder to fill. Senior analysts spend too much time on routine investigations, while maintaining 24/7 coverage requires more people than anticipated. Security tools accumulate, but every new platform still needs someone to integrate, tune, operate, and continuously improve it. Meanwhile, attackers are getting faster.
CrowdStrike’s 2026 Global Threat Report found that the average eCrime breakout time—the time between initial compromise and lateral movement—fell to 29 minutes in 2025. The fastest observed breakout took just 27 seconds. It also reported an 89% year-over-year increase in attacks involving AI-enabled adversaries.
Those numbers change how security leaders need to evaluate SOC performance. Monitoring alerts and eventually resolving incidents are no longer sufficient measures of effectiveness. The more consequential question is whether the operating model can consistently provide the speed, skills, coverage, and detection depth the business now requires. That is why the in-house SOC vs. MXDR decision deserves another look. The case for change begins with the operating model itself.
Why organizations are re-evaluating their SOC strategy
The traditional argument for an internal SOC is compelling: retain control, build institutional knowledge, customize detections around the business, and keep sensitive security operations close. Those advantages remain valid, but sustaining them now requires a much broader set of capabilities.
A modern enterprise SOC may need expertise across endpoint, identity, cloud, SaaS, threat intelligence, detection engineering, threat hunting, incident response, automation, and exposure management. Those capabilities also have to remain available across shifts while adapting to technology changes, new attack techniques, and inevitable staff turnover.
The workforce data reinforces the pressure. ISC2’s 2025 Cybersecurity Workforce Study found that 33% of respondents said their organizations lacked the resources to adequately staff their teams, while 29% said they could not afford to hire the skills required to secure the organization adequately. ISC2 also found that cybersecurity professionals increasingly view skills shortages as a bigger issue than headcount shortages alone.
Hiring another analyst does not automatically create detection-engineering expertise or give the organization an experienced incident responder. Nor does additional headcount guarantee access to specialists who understand emerging cloud and identity attacks and can adapt as the threat environment changes.
The SOC build-vs.-buy decision therefore needs a wider lens. Instead of comparing staffing models alone, security leaders need to compare the operating capabilities each model can realistically sustain.
What an in-house SOC really costs
Many in-house SOC cost calculations start with the salary line, but it captures only one part of the investment. A realistic assessment starts with the people required to provide the coverage the organization expects. A 24/7 operation needs enough staff to cover shifts, leave, training, attrition, management, and escalation. Beyond frontline monitoring, organizations may also need specialists in detection engineering, threat hunting, incident response, cloud security, identity, and other disciplines depending on their risk profile.
Technology adds another layer. SIEM, SOAR, EDR, network controls, threat intelligence, case management, cloud security tools, storage, and supporting infrastructure can create substantial recurring costs. Licensing is only part of the equation because these platforms also require integration, tuning, administration, content development, and maintenance.
Then comes a cost that is easy to underestimate: keeping the capability current. A detection that worked last year may need adjustment as infrastructure changes. New cloud services introduce different telemetry, attack techniques evolve, and acquisitions add environments that need to be integrated. Detection engineering becomes continuous work rather than a setup task.
Vacancies and turnover add another form of cost. When an experienced analyst leaves, the organization can lose knowledge of its environment, escalation patterns, detection logic, and previous incidents. Recruitment and onboarding cost money, but so does the time required for a replacement to develop enough context to operate effectively.
A board-ready comparison should therefore examine total cost of ownership (TCO), rather than pitting payroll against an MXDR contract. The more useful question is: what does it cost to maintain the security outcome the organization requires? Framed that way, the comparison becomes much more meaningful.
The talent problem isn’t going away by hiring harder Many SOC strategies contain an implicit assumption: given enough budget and recruiting effort, the organization can eventually hire its way to the target operating model. That assumption deserves scrutiny because security operations are broadening at the same time individual disciplines are becoming more specialized.
An organization may recruit strong SOC analysts. Sustaining deep internal expertise across cloud investigations, malware analysis, detection engineering, threat intelligence, identity attacks, incident response, automation, and increasingly agentic AI is a different proposition.
ISC2 reported that 32% of respondents affected by workforce shortages felt overworked, while 28% said they lacked sufficient time to stay current on security issues. Those pressures can quickly become capability problems rather than workforce statistics.
When experienced analysts spend their shifts clearing repetitive alerts, they have less capacity for threat hunting and improving detection. Persistent vacancies shift more work onto the remaining team, while specialist departures take institutional knowledge with them. Over time, the issue is no longer simply how many people sit in the SOC, but how much effective security capability the team can sustain.
That is why SOC maturity matters more than raw headcounts. The objective isn’t to build the largest possible internal team; it is to maintain the capabilities needed to manage the organization’s risk. Depending on the environment, that may mean building internally, buying external capability, or combining the two.
Attackers have compressed the value of time
A 29-minute average eCrime breakout time should change how security leaders interpret MTTR and coverage gaps. An investigation process can be technically sound and still be operationally too slow if an alert waits in a queue; an analyst manually gathers evidence across several platforms, and a specialist joins only after escalation.
For the attacker, the maturity of that workflow on paper is irrelevant. What matters is the window it creates for lateral movement and further compromise.
Verizon’s 2026 DBIR adds another dimension. Vulnerability exploitation became the leading breach entry point at 31%, while third-party involvement reached 48% of breaches analyzed. Together, these trends point to an uncomfortable operating problem: the attack surface is broadening while the time available to investigate is shrinking.
That makes 24/7 security operations valuable only when they provide 24/7 capability. Having someone watching a console is different from having the context, expertise, and authority required to investigate and escalate a sophisticated incident at any hour. In that sense, speed is more than an SLA. It is part of the security architecture.
What MXDR changes when it works well
Cost alone is a weak argument for moving to MXDR. A managed service may cost less than an internal operating model, or it may not. The more strategic question is what additional capability the organization receives for that investment.
Managed Extended Detection and Response (MXDR) can give enterprise access to security operations capabilities it would otherwise need to recruit, develop, integrate, and maintain internally. Depending on the service, that can include 24/7 monitoring, detection engineering, threat hunting, investigation, response expertise, and continuous tuning across multiple security domains.
The operative word is “can.” An MXDR service that simply forwards alerts to the internal team has not solved the operating model problem. Neither has a provider that adds another proprietary console while leaving enterprise analysts responsible for connecting evidence across the existing security estate.
CyberProof’s Agentic MXDR combines AI agents with security analysts across investigation, threat hunting, detection engineering, exposure context, and response. It is designed around an API-first approach that can work with existing enterprise security investments instead of requiring a wholesale rip-and-replace.
That points to the more consequential shift in the managed detection and response vs. in-house SOC conversation. The question is no longer simply who watches the alerts. It is which operating model can continuously improve the defense while preserving the control and business context the enterprise needs.
In-house SOC vs. MXDR: Side-by-side comparison
| Decision area | In-house SOC | MXDR |
| Operating control | High direct control over people, processes, detections, and response | Shared control governed by service scope and operating model |
| 24/7 coverage | Requires sufficient staffing across shifts and escalation levels | Typically built into the service; capability and SLA depth should be validated |
| Talent model | Enterprise recruits, develops, and retains required skills | Provider supplies broader pooled expertise; internal knowledge remains important |
| Technology | Enterprise owns integration, licensing, tuning, and lifecycle management | Can leverage existing tools or provider technology depending on deployment model |
| Detection engineering | Built and maintained internally | Can be delivered continuously by the provider; customization should be evaluated |
| Institutional knowledge | Strong potential for deep business-specific knowledge | Requires deliberate context sharing and collaboration |
| Scaling | Usually requires additional people, tooling, or automation | Capacity can scale through provider operations and automation |
| Cost model | Significant fixed and variable operating costs | More service-based and predictable, but scope and data costs matter |
| Compliance | Maximum direct operational control | Requires careful evaluation of data residency, access, evidence, and regulatory requirements |
| AI adoption | Enterprise owns implementation, governance, integration, and improvement | Advanced providers can provide governed AI capabilities as part of the operating model |
There is no universal winner in this comparison, and that is the point. Each model makes different trade-offs around control, expertise, scalability, cost, and operational responsibility. A credible business case needs to make those trade-offs visible rather than assume that outsourcing is inherently more mature.
Where keeping the SOC in-house still makes sense
MXDR is not automatically the mature choice. Some organizations have sufficient scale to sustain deep specialist teams and sophisticated 24/7 operations internally. Others operate highly specialized environments where institutional knowledge materially affects detection and response. Regulatory, sovereignty, contractual, or national-security requirements may also restrict external access to particular systems or data.
Security operations may also be strategically differentiating when cyber risk is inseparable from the product or service itself. An enterprise with mature detection engineering and proprietary intelligence may reasonably conclude that keeping those capabilities in-house creates more value than transferring operational responsibility to a provider.
Even then, “in-house” does not have to mean “everything in-house.” A co-managed model can preserve internal authority and institutional knowledge while bringing in external scale or specialist expertise where maintaining those capabilities internally makes less economic or operational sense. The strongest decision is therefore architectural: decide which capabilities the organization needs to own and which it needs reliable access to.
A practical framework for making the decision
Start with outcomes rather than sourcing preferences. Define the coverage the business requires by identifying critical assets and environments, operating hours, response expectations, regulatory obligations, and the threats that matter most. This establishes the security outcome against which you should evaluate both models.
Next, calculate the real operating cost. Include people, technology, infrastructure, recruitment, retention, training, engineering effort, management overhead, and the resources required to maintain effective 24/7 capability. Then examine operational performance using measures such as MTTR, investigation backlog, false positives, detection coverage, escalation delays, recurring audit findings, and specialist work deferred because the team lacks capacity.
With that baseline established, identify the capability gaps. Determine which gaps can realistically be closed internally, what doing so will cost, how long it will take, and where a provider’s scale or specialist expertise could materially change the outcome.
Finally, determine what should remain under enterprise control. Detection ownership, response authority, data access, compliance accountability, and institutional knowledge all require explicit decisions. This creates a decision framework for CISOs based on evidence rather than dissatisfaction with the current SOC or enthusiasm for a new provider.
The board needs an investment case
Walking into a CFO discussion with “MXDR costs less” leaves too much unanswered. Cost matters, but so does the security capability received for that investment. Start by presenting the current-state TCO and making hidden expenses visible. Include staffing requirements, security-platform costs, vacancies, after-hours coverage, and the engineering required to keep the environment effective. Then show where current performance falls short of the organization’s established risk tolerance, using reliable data on response delays, coverage gaps, capacity constraints, and unresolved detection-engineering work where available.
The next comparison is between future states. What would it cost to close those gaps internally? What would MXDR cost? Which model reaches the required operating capability faster, and what new dependencies or risks does outsourcing introduce? Those questions make the discussion more useful than a simple comparison of annual budgets.
Avoid claims about breaches that “would have been prevented,” because those outcomes are difficult to substantiate. Build the case around measurable operating improvements instead: stronger coverage, faster investigation and response, access to specialist skills, predictable operating capacity, and a clearer cost model. That gives the CFO a business case that can withstand scrutiny. More importantly, it gives the board a clear view of the security capability being purchased and the risk that investment is intended to manage.
The case for change starts with the operating model, not the provider
A functioning in-house SOC can still be the wrong operating model for the next stage of the business. Years of investment naturally create institutional momentum: teams know the tools, leaders understand the model, and processes have been built around it. Reconsidering that model can therefore feel like questioning the value of everything already built.
It shouldn’t. The more useful question is whether that investment still delivers the capability the organization needs at a sustainable cost. If an internal SOC can maintain the required expertise, deliver effective 24/7 coverage, continuously improve detections, and respond at the speed the threat environment demands, keeping those capabilities in-house may be entirely rational.
However, if maintaining the same standard requires continually adding scarce specialists, platforms, integrations, and operational overhead, the economics deserve another look. MXDR should not be viewed simply as surrendering the SOC. Done well, it shifts where the enterprise carries the operational burden while keeping governance, business context, and decision authority inside.
The next board conversation should therefore go beyond build or buy. Put both operating models against the same standard—security outcomes, capability depth, resilience, control, and total cost—and make each model earn its place.
Put your current SOC model to the test
Before deciding whether to invest further in the existing SOC or move toward MXDR, establish what the current operating model delivers, where material capability gaps remain, and what it will cost to close them. That baseline turns the sourcing discussion into a security and business decision rather than a comparison of vendors or staffing models.