An L3-mimicking triage copilot for mid-market MDR/SOC providers drowning in low-context alerts from tools like Microsoft 365 Defender, CrowdStrike, and SentinelOne. These teams complain on Reddit and G2 that they spend 40–60% of time just normalizing, correlating, and closing obvious false positives, not doing investigations. SignalSift Copilot plugs into the SIEM/XDR, learns from past L3 decisions, and produces explainable, ranked triage recommendations that L1/L2 can trust, focusing only on Windows/AD/Office 365 environments to stay narrow.

Targets: MDR and MSSP SOCs with 5–50 analysts, especially those built on Microsoft Sentinel + Defender stacks.
Value: Cuts L1/L2 triage time by auto-grouping alerts into incidents, generating L3-style reasoning summaries, and highlighting only 5–10% of alerts that deviate from historical patterns.
Differentiation: Rather than generic AI "alert scoring", it replays past incidents, builds pattern libraries of true vs false positives per customer, and outputs EVIDENCE-FIRST justifications (which log sources, what changed vs baseline, which past cases are similar). This directly addresses G2/Capterra reviews complaining that existing tools “add more dashboards, not fewer decisions,” and Twitter/X threads where SOC leaders say they can’t trust black-box risk scores.