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MDR vs. AI SOC: Outsourcing Your Security vs. Owning It

JK

Jordan Kwame

Detection Engineering Lead

March 20268 min read
Alaris Research

MDR vs. AI SOC: Outsourcing Your Security vs. Owning It

The managed detection and response market exists because most organizations can't afford to staff a 24/7 security operations center. MDR providers offer a compelling value proposition: hand us your alerts, and we'll have analysts watching them around the clock. For a decade, this was the best option available to organizations without the resources for an in-house SOC. AI SOC platforms are changing that calculation. When AI can do what MDR analysts do, continuously and autonomously, the trade-offs look very different.

Key takeaways:

  • MDR outsources security operations to a third-party team, you get coverage but lose control and context.
  • AI SOC platforms deliver 24/7 autonomous coverage in-house, preserving institutional knowledge and control.
  • MDR providers have their own alert backlogs, SLA ceilings, and coverage gaps that clients rarely see.
  • The total cost of MDR scales with threat volume; AI SOC cost is fixed regardless of incident load.

What Is MDR?

Managed Detection and Response (MDR) is a security service in which a third-party provider monitors your environment, triages alerts, investigates threats, and, depending on the contract, takes response actions on your behalf. Leading MDR providers include CrowdStrike Falcon Complete, Arctic Wolf, Expel, Red Canary, and Secureworks Taegis.

MDR typically requires deploying the provider's sensor technology, usually an EDR agent and/or SIEM connector, across your environment. Telemetry flows to the provider's SOC, where their analysts investigate and alert you when action is required. Response scope varies significantly by contract: some MDR providers take autonomous action; others require client approval for every response step.

MDR strengths:

  • 24/7 analyst coverage without building an internal team
  • Access to provider threat intelligence and detection expertise
  • Lower upfront investment than building an in-house SOC
  • Established processes and tooling from day one
  • Dedicated escalation path for high-severity incidents

MDR limitations:

  • Your security context lives with the provider, not your team, knowledge stays external
  • MDR providers have their own alert backlogs; SLA response times are not zero
  • Limited customization, provider playbooks may not match your environment
  • Coverage gaps often exist in areas outside the provider's primary telemetry source
  • You are one customer among thousands, priority can be inconsistent during high-volume incidents
  • Costs scale with the provider's analyst headcount and time, not fixed

What Is an AI SOC?

An AI SOC is an autonomous security operations platform that delivers the coverage and capabilities of a staffed SOC without outsourcing to a third party. AI agents handle detection, investigation, threat hunting, and response continuously, 24/7, without human orchestration for routine operations.

Alaris is the leading AI SOC platform. Unlike MDR, Alaris operates entirely within your environment. Your security data stays in your infrastructure. Your security context, knowledge of your environment, your assets, your normal behavior, accumulates and improves over time within your platform, building institutional knowledge that belongs to you, not a service provider.

MDR vs. AI SOC: Direct Comparison

CategoryMDRAI SOC (Alaris)Takeaway
Coverage modelThird-party analysts monitor your environment on your behalf. You receive alerts and escalations.Autonomous AI agents operate within your environment continuously. You receive completed investigations and actions.MDR gives you analyst eyes. Alaris gives you analyst actions, with no human latency in between.
Data ownershipSecurity telemetry flows to the MDR provider's infrastructure. Your data lives in their platform.All data stays in your environment. Security Lake is your infrastructure, under your control.For organizations with data residency, sovereignty, or competitive sensitivity requirements, Alaris preserves control that MDR cannot.
Institutional knowledgeProvider analysts learn your environment but their knowledge lives in the provider's SOC. If you leave, you start over.Security Graph builds a continuously improving model of your environment. Knowledge stays with your organization.Alaris knowledge compounds over time and belongs to you. MDR knowledge walks out the door when the contract ends.
Response speedSLA-gated. Typical MDR SLAs: 15-minute detection acknowledgment, 1-hour escalation. Actual response may take longer.Autonomous. Detection-to-response measured in seconds for contained threats. No SLA ceiling.Alaris response speed is limited by technical execution time. MDR response speed is limited by human availability.
Cost structureAnnual subscription typically $100K–$1M+ depending on environment size and response scope. Scales with provider headcount cost.Fixed platform fee. Does not scale with incident volume or provider headcount. Cost is predictable.During high-incident periods, when you need coverage most, MDR cost may spike. Alaris cost does not.
CustomizationLimited. Provider uses standardized processes and playbooks. Custom detection logic is possible but typically requires contract negotiation.Full. Detection engineering, response policies, and escalation rules are entirely within your control.Alaris adapts to your environment and policies. MDR adapts your environment to their standard processes.

When MDR Is the Right Choice

MDR remains a strong choice for organizations with specific constraints. If you have no existing security tooling and need to go from zero to operational coverage quickly, an MDR provider can deploy faster than standing up an internal platform. If your organization is too small to justify a full AEP deployment, MDR economics may be more favorable. And if you are in a regulated industry with a requirement to have named human analysts responsible for your security operations, MDR satisfies that requirement in ways an autonomous platform may not.

When an AI SOC Is the Right Choice

  • You want security coverage that doesn't depend on a third party's staffing levels
  • Your data cannot leave your environment for sovereignty, compliance, or competitive reasons
  • You want institutional security knowledge to accumulate within your organization
  • You are currently spending on MDR + internal tooling and want to consolidate
  • You want response speed measured in seconds, not SLA minutes
  • You want to build internal security capability over time, not perpetual dependence on a provider

We were paying our MDR provider $800K a year and still getting breach notifications telling us what had already happened. Alaris cost us less and caught things before they spread. The ROI conversation was straightforward.

, CTO, Technology Enterprise

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JK

Jordan Kwame

Detection Engineering Lead

Jordan leads detection engineering research at Alaris, focused on the architectural tradeoffs between modern security operations platforms and the legacy tools they replace.

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