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Quality Assurance in Intezer’s Autonomous SOC: A Scientific Approach to Excellence

ID: e303b6c1-e0db-5e12-a4bf-a7a41e575ec3

STIX ID: report--e303b6c1-e0db-5e12-a4bf-a7a41e575ec3

Feed Name: Intezer Blog

Date Published: 2025-03-11

Date Updated: 2026-04-28

Author: Itai Tevet

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The document outlines Intezer’s scientific QA approach for its AI SOC, featuring **Step 1 – Alert Validation** via 5% random sampling and user “Thumbs Up/Thumbs Down” feedback to achieve a 95% confidence level with <2% margin of error; **Step 2 – Establishing Performance Metrics** such as a 3.81% escalation rate, accuracy (false/true positives), investigation time, and definitive classification rate; and **Step 3 – Feedback Loop** including pattern recognition, impact analysis, iterative refinement, and environment-specific adaptation, emphasizing transparency and measurable, continuous improvement for SOC effectiveness.

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