Threat Attribution.
An evidence-graded attribution engine that connects individual incidents to known threat patterns, root causes, and adversary categories.
Threat Attribution connects individual incidents to the known threat patterns, root causes, and adversary categories producing them. Each breach in the corpus carries graded attribution signals — VERIS-mapped action categories, sector context, and root-cause classification. Security analysts use Attribution to read an incident against the historical baseline for its sector and compare it to breaches affecting peer organizations.
Capabilities
VERIS-mapped action categories
Every breach carries graded action-category attribution aligned to the VERIS taxonomy used by Verizon DBIR researchers.
Sector-targeting context
Surface adversary patterns by sector so a single incident reads against the historical baseline for its industry.
Root-cause classification
Every breach is classified by root cause — ransomware, credential abuse, misconfiguration, third-party, insider, and more.
Peer-cohort signal
Compare an incident against breaches affecting peer organizations in the same sector, geography, and size cohort.