Could AI Replace the SIEM?
Traditional SIEMs follow a predictable model: collect logs from many sources, ingest them into a central store, normalize them into a readable schema, index them, and then use queries, dashboards, and alerts to investigate and respond. This design exists because data is scattered, inconsistent, and hard to retrieve. Centralization solves those problems but introduces challenges… Read More: Could AI Replace the SIEM? »