Chain of Evidence
Quick Answer
In agentic binary reverse engineering, a chain of evidence is a structured, machine-readable record that binds every claim an RE agent makes to the specific tool output, function, control-flow path, or dynamic observation that supports it, along with a confidence score and validation status. Unlike a flat chat transcript, claims become nodes with provenance so a validator can replay each link before the agent's final verdict is accepted.
Chain of Evidence
Chain of evidence is an architectural pattern in agentic reverse engineering where every claim an analysis agent emits is bound to the specific supporting artifact — a tool output, function address, control-flow path, data-flow slice, or dynamic observation — along with a confidence score and validation status. The term is associated with Microsoft's Project Ire, which uses it to separate audit-grade RE output from plausible-sounding prose. Where a chat transcript records what an agent said, a chain of evidence records why each claim should be believed, and lets a separate validator replay or re-check the supporting observations before a malicious/benign verdict is promoted.
See also
- LLM-assisted malware reverse engineering — parent explainer on agentic RE pipelines and evidence graphs.
- Tool-use reliability — what makes the underlying observations in a chain of evidence trustworthy.