Here’s How AI Finally Got Alerts Right
Security teams have been drowning in alerts for years. Ask any SOC analyst what their inbox looks like after a weekend, and you’ll likely hear something close to panic. The sheer volume of false positives has become a full-time problem—one that traditional tools, frankly, haven’t fixed. But something has shifted. Source: Rapid7 Rapid7’s new AI-powered alert triage system, built into InsightIDR, might just be that shift. It classifies alerts with an astonishing 99.93% accuracy, thanks to machine learning models trained on a massive dataset sourced from their global MDR operations [1]. This isn’t just another automation tool promising to save time; it’s actually doing it. What sets this apart is the combination of accuracy and transparency. The system doesn’t just toss alerts into a “good” or “bad” pile—it shows its work. Analysts can review the AI’s decision process, which means they’re not being asked to blindly trust a black box. This kind of traceability is exactly what has been miss...