How MDR Cut a Manufacturer's Alert Volume by 25x

How proactive threat hunting and disciplined alert tuning cut investigation volume by roughly 25x for a global manufacturer

CLIENT CATEGORY

Electronics Manufacturer

IMPLEMENTED SOLUTIONS

Managed Detection and Response

LOCATION

North America

A Small Test Can Reveal a Big Risk

A global electronics manufacturer with operations spanning multiple regions and a large, distributed IT footprint was running Microsoft Sentinel as its primary detection layer, generating a high volume of raw security alerts every month.

Like most manufacturers with a complex, global attack surface, the organization faced a steady stream of alerts from its SIEM with no way to tell, at a glance, which ones represented real risk and which were noise.

The Challenge

Security teams at organizations this size typically face the same trap: either triage every alert manually and drown the team in low-value tickets, or turn down sensitivity and risk missing something that matters.

  • A traditional “close more tickets” MDR model rewards high alert-closure counts, not risk reduction.
  • Analysts spend the majority of their time on alerts that turn out to be duplicates, known-benign activity, or false positives.
  • Without documented disposition on every alert, it's hard for a security leader to prove that dropped alerts were actually safe to drop.

The Approach

Prosegur Cybersecurity's MDR combines fetch-based detection from the client's existing tools with proactive threat hunting, run through a tuning process built specifically around the client's environment rather than a one-size-fits-all rule set.

  • Every alert is reviewed and disposed with a documented reason, whether closed as benign, duplicate, or escalated.
  • Hunting queries are turned on deliberately and tuned over time, rather than enabling every possible detection rule at once.
  • Techniques and threat activity observed in one client environment, or trending in the wild, are automatically evaluated against this client's environment through global trend intelligence.
  • Every investigation and hunting rule is mapped to the MITRE ATT&CK framework, giving the security team a clear view of technique-level coverage.

The Outcome

Over a six-month reporting window, the platform processed a large volume of raw alerts and reduced them to a much smaller, high-fidelity set of human-led investigations.

191,709

Total alerts 
ingested

77,802

Alerts flagged relevant after filtering

7,546

Alerts escalated to human-led investigations

99%

Investigation 
closure rate

That is roughly a 25x reduction from raw alert volume to the set of investigations a human analyst actually had to work, without leaving any alert undocumented. Every one of the alerts not escalated carries a recorded disposition reason, so the reduction is auditable rather than a black box.

Why It Matters

For a security or IT leader evaluating MDR providers, alert volume by itself isn't the risk signal that matters. What matters is whether a provider can tell the difference between noise and a real threat, and prove it. A 25x reduction in investigation volume, with full documentation behind every disposition, is the difference between a team drowning in tickets and a team focused on the handful of things that actually threaten the business.

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