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02/08/2026 9:44 am
TL;DR: Agentic MDR is emerging as a real delivery shift, with providers using autonomous AI agents to triage alerts, compress response times, and standardise investigations, according to Prophet. The governance question is no longer whether agents can assist, but how much investigative logic, transparency, and auditability security teams are willing to leave outside their control.
NHIMG editorial — based on content published by Prophet: Agentic MDR: Advantages and Disadvantages
By the numbers:
- Sophos said AI now closes 52% of its MDR cases end to end.
- On the cases it is authorized to resolve, Sophos said its AI acts in 89 seconds from case creation to automated response.
Questions worth separating out
Q: How should security teams evaluate agentic MDR before adopting it?
A: Start by testing three things: which alert classes the service can resolve autonomously, what evidence it returns with each decision, and how quickly you can change handling logic for your environment.
Q: Why does agentic MDR create governance risk even when it improves speed?
A: Because speed does not solve ownership.
Q: What breaks when an MDR service hides the agent's reasoning?
A: Investigations become hard to defend, tune, or challenge.
Practitioner guidance
- Map autonomous case authority by alert class Document exactly which detection types the provider can close automatically, which require human approval, and which are excluded from agentic handling.
- Require inspectable investigation records Insist on query logs, evidence references, reasoning output, and escalation triggers for every agent-led verdict.
- Test custom-detection and tuning limits before contract close Validate whether bespoke rules, environment-specific detections, and response conditions can be incorporated without waiting on provider change cycles.
What's in the full article
Prophet's full article covers the operational detail this post intentionally leaves for the source:
- Vendor-specific comparisons between agentic MDR and agentic AI SOC operating models
- Detailed discussion of how automated triage changes analyst workload and service boundaries
- Provider-facing considerations around transparency, confidence scoring, and response ownership
- The article's practical positioning on when managed delivery still makes sense for smaller SOC teams
👉 Read Prophet's analysis of agentic MDR advantages and disadvantages →
Agentic MDR for SOCs: what changes and what still does not?
Explore further
02/08/2026 12:37 pm
Agentic MDR is a control model, not just a faster service tier. The market is describing the same change with different labels, but the underlying shift is that autonomous agents now perform work that used to belong to tier-1 analysts. That changes how teams should evaluate service boundaries, evidence quality, and escalation logic. For SOC leaders, the question is whether the provider can prove the agent's reasoning, not merely whether it can close cases quickly.
A question worth separating out:
Q: Who should keep control when a managed service uses autonomous AI agents?
A: The buyer should keep control of response authority, evidence retention expectations, and approval boundaries for high-risk actions. The provider may operate the automation, but the organisation remains accountable for outcomes, especially when alerts involve privileged access, identity signals, or material incident decisions.
👉 Read our full editorial: Agentic MDR changes SOC triage, but ownership still matters
