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Turn the SIFT toolchain into evidence-safe, auditable DFIR MCP workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "VERDICT" yet — see the docs or source repo.
Using the provided disk image and logs, use VERDICT to run an initial DFIR investigation, identify suspicious timeline events, unusual processes, and corroborated key evidence, and preserve an auditable investigation trail.
A preliminary investigation report with suspicious findings, corroborated evidence points, and a traceable audit trail.
Use VERDICT to review the previous DFIR analysis, apply self-correction and evidence corroboration to key conclusions, and mark any unsupported or uncertain findings.
A reviewed findings list showing which conclusions were confirmed, corrected, or left uncertain due to insufficient evidence.
Use VERDICT to produce a traceable audit record for this incident response, listing the forensic functions used, input evidence, and corresponding findings step by step.
A structured audit record suitable for review, handoff, or compliance documentation.
Security or operations teams can use it during host compromise, anomalous activity, or suspicious log review to bring SIFT-based capabilities into MCP workflows for more automated DFIR investigations.
When teams need to preserve investigation steps, evidence sources, and the basis for conclusions, it provides traceable audit trails for review and handoff.
In DFIR analysis, teams can use its self-correction and corroboration capabilities to re-check key conclusions and reduce the risk of false findings.
It is an MCP tool for DFIR (digital forensics and incident response). It turns the SIFT toolchain into evidence-safe MCP functions and emphasizes self-correction, corroboration, and traceable audit trails.
Based on the description, it does more than execute automation steps: it emphasizes evidence safety, corroborated conclusions, and complete auditability. That makes it better suited for forensic workflows that require defensible records.
The available information only clearly states that it is based on the SIFT toolchain. For exact installation steps, runtime requirements, or dependencies, see the source repository.
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