01Program

SOC modernization: detection, telemetry and triage rebuilt around measured coverage

For SOCs overloaded with noise: telemetry rationalization, detection engineering mapped to MITRE ATT&CK, automation of repetitive triage and honest coverage measurement.

Name
SOC Modernization
Line
01 · Cybersecurity
Type
Outcome program, combines several practices

01The problem

Alert volume grows while coverage stays flat.

Legacy SOCs accumulate default vendor rules, unowned log sources and rising platform costs, while measurable detection coverage stays flat. Analysts spend their shifts closing false positives instead of investigating real behavior.

02Scope

What the SOC modernization program covers.

  • SOC maturity and telemetry assessment
  • Detection content engineering and testing
  • SIEM tuning and ingestion cost optimization
  • Triage workflow redesign and automation
  • Threat hunting program establishment
  • Coverage and MTTD/MTTR reporting

03Approach

How a SOC modernization engagement runs.

Work is platform-agnostic across Microsoft Sentinel, Splunk, QRadar, Elastic and Wazuh. The same automation patterns inform the design of [Autonomous SOC Analyst L1 & L2](/products/autonomous-soc), which is in development.

  1. Measure honestly

    Telemetry audit and ATT&CK coverage assessment: what you actually log, what you can actually detect, what it actually costs.

  2. Re-engineer detection

    Noisy defaults replaced with engineered content built from your threat model. Tested, versioned and mapped to ATT&CK.

  3. Automate the mechanical

    Enrichment and repetitive triage automated so analyst hours go to investigation and hunting.

04Outcomes

What the SOC modernization program is built to achieve.

  • Detection content rebuilt from your threat model, tested and versioned like code
  • Telemetry costs reduced by dropping what no detection uses
  • Triage time cut through enrichment and automation of repetitive steps
  • ATT&CK coverage measured and reported honestly, gaps included

When this work fits

  • Internal SOCs where analysts spend most shifts closing false positives
  • Teams running a SIEM on default vendor rules with untested detections
  • Security leaders asked to justify rising log ingestion and platform costs
  • Organizations needing ATT&CK coverage reporting that stands up to scrutiny

05Questions

SOC modernization: questions we are asked

Modernization improves the SOC you already run. Your analysts, your SIEM and your processes stay in place, and the work is engineering: telemetry review, detection content, triage automation and coverage measurement. A managed SOC moves monitoring to an outside team. The two can be combined, for example by keeping daytime investigation in-house and adding overnight coverage. If the underlying problem is staffing for 24×7 cover and not detection quality, managed SOC services are the better fit.

Each detection is mapped to the MITRE ATT&CK technique or sub-technique it addresses, then tested. A rule that has never fired against a simulated attack counts as unverified. Testing replays the technique in a safe form and confirms that the log source recorded it, the rule matched and the alert reached an analyst with usable context. Technique relevance comes from threat intelligence on the actors likely to target you. A colored ATT&CK heatmap with no tests behind it is not a measurement.

Usually not. Most issues described as SIEM problems are content and data problems: default rules, unparsed logs, sources nobody owns and no testing. Those can be fixed on Microsoft Sentinel, Splunk, QRadar, Elastic or Wazuh. Replacement becomes reasonable when the platform cannot ingest required sources, when licensing makes necessary retention unaffordable, or when the vendor has ended development. In that case detections are written in a portable format such as Sigma, so the content moves with you.

Every change is tied to a test. Before a noisy rule is tuned or retired, the technique it was meant to catch is recorded, and a test case proves the replacement still detects it. Volume falls through several steps: removing default rules with no link to your threat model, adding asset and identity context so severity reflects the target, grouping related events into one alert, and giving every suppression an owner and an expiry date. Enrichment and repetitive closures are automated.

Ownership stays with you: the platform, the detection repository, the runbooks and every incident decision. Detection content is delivered as versioned code in your repository, with tests and documentation, so your engineers can change it later. Your analysts take part in the rebuild, which is how the knowledge transfers. Where continuing help is wanted, options include periodic detection engineering, threat hunting support or co-managed monitoring. Escalation for major cases can be linked to our incident response practice.