Research

Evidence-quality telemetry for incident response

How should incident analysis account for missing, delayed, or contradictory telemetry?

Research question

How should incident analysis account for missing, delayed, or contradictory telemetry?

Core idea

Treat telemetry quality as a first-class signal. Incident response should reason about both system behavior and the reliability of the evidence used to infer that behavior.

Why it matters

Without evidence-quality controls, a response system may produce confident explanations from incomplete observations.

Contribution

The work treats completeness, delay, contradiction, provenance, and recovery of telemetry as measurable properties rather than assuming the observation layer is always reliable.

Limitations

Published evaluation results describe the reported experimental setting. Different systems may require different evidence signals, thresholds, and recovery policies.

Status

Accepted public research work on distributed stream processing and evidence integrity.