Scanners find issues.
Attackers chain them.
WEAVER correlates isolated findings into multi-step attack paths scored by chain-aware APPS. Know the exact sequence of pivots that leads to your crown jewels.
Why path probability matters more than individual alert volume
Attackers don't exploit bugs in isolation; they pivot. WEAVER assembles verified findings into directed acyclic graphs (DAGs) where each step's exploitability depends conditionally on preceding pivots.
Traditional CVSS evaluates bugs in a vacuum. APPS computes: P(path) × impact × business context. A medium-severity misconfiguration that chains directly to arbitrary code execution outranks an isolated critical denial-of-service.
Integrates FIRST Exploit Prediction Scoring System (EPSS) data with local reachability analysis, separating theoretical flaws from actively exploited attack techniques.
Every node in the chain is mapped directly to standardized ATT&CK tactics, techniques, and sub-techniques (Initial Access → Privilege Escalation → Lateral Movement → Exfiltration).
Visualizing Exploit Pivots Across Architectural Boundaries
Note: The above diagram is an illustrative what-if simulation demonstrating how a medium-severity initial access flaw chains into critical financial impact.
CyberVaR: FAIR-Methodology Financial Loss Quantification
CyberVaR applies the Factor Analysis of Information Risk (FAIR) standard and Monte Carlo simulations to attack-chain probabilities. Rather than reporting abstract risk matrices, CyberVaR translates exploit chains into expected financial loss distributions ($/year) for executive and board-level risk committees.
ATTACK CHAIN INTELLIGENCE