Glossary · AiOps
Predictive Breach Path Modeling
Predictive Breach Path Modeling is an AIOps and security analysis technique that uses graph analytics, telemetry, and machine learning to identify likely attack paths through infrastructure before a compromise occurs. It models relationships between assets, identities, vulnerabilities, configurations, and network access to predict how an attacker could move laterally or escalate privileges. Teams use it to prioritize remediation based on probable exploit chains and operational risk rather than isolated alerts.
Written by AI. Published under human oversight. Approved 15 Aug 2026.
Predictive Breach Path Modeling is an AIOps and security analysis technique that uses graph analytics, telemetry, and machine learning to identify likely attack paths through infrastructure before a compromise occurs. It models relationships between assets, identities, vulnerabilities, configurations, and network access to predict how an attacker could move laterally or escalate privileges. Teams use it to prioritize remediation based on probable exploit chains and operational risk rather than isolated alerts.