FOMO in the SOC: Where AI Platforms like Claude Actually Fit
Summary: The article argues that AI platforms such as Claude, Codex and Cursor are built to help analysts write detections, investigate individual alerts and summarize incidents, not to investigate thousands of alerts a day, because each investigation consumes context tokens and cost scales with alert volume. It cites analysis of more than 25 million security alerts processed during 2025 finding that nearly 1% of confirmed incidents originated from low-severity or informational alerts, and notes that organizations relying on an MDR provider typically receive only escalated incidents and reports, not the underlying telemetry and investigation history.
Why it matters: Nearly 1% of confirmed incidents in a 25-million-alert dataset began as low-severity or informational alerts - the ones most teams deprioritize when volume outruns capacity. And if an MDR holds your raw alerts, telemetry and investigation history, any AI you layer on top is reasoning over data it does not have.
Read the original at The Hacker News ↗
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- Cloud Security
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