Evidence-grounded reasoning
How software can distinguish what digital evidence establishes from what remains inferred, contradictory, unknown, or unassessed.
RESEARCH / ACTIVE DIRECTIONMachines should show
Machines should show
their evidentiary limits.
PastePile Labs is exploring evidence-grounded cyber reasoning: systems that preserve provenance, contradiction, uncertainty, and unanswered questions instead of turning incomplete evidence into confident prose.
Uncertainty by design
Methods for preserving source lineage, conflicting evidence, missing telemetry, and the limits of a conclusion instead of hiding them behind generated certainty.
Next-best evidence
Research into which additional evidence is most likely to reduce decision-relevant uncertainty during an investigation.
Human-machine investigation
Interfaces and evaluation methods that help analysts use machine assistance without losing provenance, judgment, or control.
R&D
COMMERCIALIZATION
Research earns its place by surviving contact with real work.
PastePile, our incident-evidence workbench for MSPs and lean security teams, is the first product context for this research direction. Research claims and product claims remain separate until evidence supports bringing a method into production.
This page describes an active research direction. It does not represent a government award, agency endorsement, certification, or claim that the experimental methods have demonstrated superiority.