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Sophos Says Daybreak AI Agents Cut Average Case Response to 89 Seconds

Sophos reports an 89-second average response for cases handled by Daybreak-built agents, but the figure applies only to cases AI is authorized to resolve.
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Sophos says cases handled by its Daybreak-built AI agents had an average response time of about 89 seconds, down from about 38 minutes. That is a vendor-reported result for cases using the agents—not a claim that every Sophos MDR alert is investigated and contained in 89 seconds. The figure measures time from case creation to a fully automated response only for cases the AI is authorized to resolve.

What does the 89-second figure measure?

In an OpenAI case study published October 9, 2026, Sophos CTO John Peterson said the average response time for cases using the agents fell from about 38 minutes to about 89 seconds. Sophos’s May 2026 description clarifies the endpoint: the 89 seconds run from case creation to a fully automated response for cases AI is authorized to resolve.

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It is therefore not an alert-to-containment figure for all incidents, nor does it describe the response time for every MDR case. The eligible case population is bounded by the agent’s authorization and the response modes configured by the customer.

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How do the Daybreak agents handle a case?

The OpenAI case study describes a workflow that gathers evidence, plans an investigation, and presents findings and recommended actions. The process is not simply a model issuing an immediate response from a single alert.

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  1. Gather context: An investigation agent assembles customer context, detections, indicators of compromise, and relevant threat intelligence.
  2. Investigate: A planning model uses a plan-execute-review loop to set out investigative steps and carry them out.
  3. Prepare recommendations: The workflow produces a summary and recommended response actions for analysts. Other agents may carry out parts of a response where authorized.

OpenAI also reports a 96% reduction in investigation time using its models. That is a separate investigation-time metric; it should not be read as another way of expressing the 89-second case response average.

Are 52% of MDR cases handled end-to-end by AI?

OpenAI’s case study and Sophos’s announcement report that AI resolves 52% of MDR cases end-to-end. This is a reported share of cases, not a promise that a particular customer’s incident will qualify for autonomous handling. Cases requiring judgment, falling outside an agent’s comfort boundaries, or involving actions that need additional oversight can be escalated to people.

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Do human analysts still review AI responses?

Yes. Sophos describes customer response settings that determine what the service may do:

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  • Notify: Sophos investigates and recommends; the customer takes action.
  • Collaborate: Sophos and the customer work together on the response.
  • Authorise: Sophos may respond on the customer’s behalf.

These modes govern authority, not a guarantee that every action is automated. Sophos says actions requiring greater judgment receive human oversight, potentially destructive actions retain appropriate oversight, and cases outside an agent’s comfort boundaries are passed to human judgment. Peterson put it this way: “Anything we don’t feel comfortable with an agent handling gets passed off for human judgement.”

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How strong is the evidence behind the claim?

The 89-second average, the earlier 38-minute average, the 96% investigation-time reduction, and the 52% end-to-end automation figure are reported in OpenAI and Sophos materials. The published accounts do not provide a full measurement protocol, case-level distribution, detailed sample size, exclusions, or an independent audit of the 89-second result. Those omissions limit how precisely readers can interpret or independently verify the comparison; they do not, by themselves, show that it is false.

Any comparison with another provider’s response metric would need to align the starting event, endpoint, eligible case population, automation permissions, averaging method, and measurement period. Without those details, the numbers may describe different things.

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