AI Trust Glossary · Canonical Definition
BM Score Dimension - 10%
Audit Completeness
One of five BM Score dimensions. Measures whether all expected log entries are present and whether the agent's execution is fully observable.
Explanation
Audit completeness compares expected log entries to actual entries. If an agent was expected to log 453 events but only 451 are present, those two missing entries reduce the score. Missing logs are often the first sign of an agent concealing behavior.
Why it matters
You cannot trust what you cannot audit. Incomplete audit trails break accountability chains and undermine compliance with regulations like the EU AI Act, which require documented decision records for high-risk AI systems.
How Borealis uses it
Reported as auditCompleteness: { expectedLogEntries, actualLogEntries } in the telemetry schema. The ratio of actual to expected entries drives the 10% weight. Sequence gap detection flags non-contiguous batch IDs indicating missing data.