A multiple ledger approach is when different teams, tools, or platforms keep separate records of cost or activity instead of sharing one unified ledger. In practice, that means finance, security, cloud, and application teams may each see only part of the picture. In cyber security, this matters because fragmented records make it harder to trace who used a system, what was run, and where spending or risk came from.
Attackers and defenders both exploit or suffer from this fragmentation. A malicious user can hide abuse inside shadow IT, unsanctioned AI tools, or separate cloud accounts, while defenders may miss anomalies if usage and billing are split across systems. Security teams reduce this risk by centralizing telemetry, tagging identities and workloads, and correlating logs with billing data. That creates a clearer audit trail, improves attribution, and helps spot compromise, fraud, or runaway automation early.