Direction
Determine whether the current evidence supports compression, the Ford Boundary, or expansion.
VitalSec platform
Risk Compression Engine
The Risk Compression Engine applies the Ford Model to current VitalSec evidence. It shows whether modeled risk is compressing or expanding, where the environment sits relative to the Ford Boundary, and which of the four forces caused the movement.
Ford Model
dR/dt = f(E + P − D − A)
Compression
E + P > D + A
Boundary
E + P = D + A
Expansion
E + P < D + A
What the engine does
The engine evaluates the four Ford Model forces using current evidence, then shows direction, change over time, Ford Boundary position, and the drivers behind the movement. The Risk Compression Index can summarize the current condition in one measure; the engine preserves the explanation behind it.
Determine whether the current evidence supports compression, the Ford Boundary, or expansion.
Show whether Enforcement plus Proof Continuity is above, equal to, or below Decay plus Adversarial Pressure.
Track how modeled risk direction changes as controls, proof, drift, and adversarial pressure change.
Tie movement back to the evidence and material changes that produced it.
The four forces
E
Controls and corrective actions that are actively constraining or improving the environment.
P
How consistently current evidence supports the claim that required controls are working.
D
Drift, stale evidence, operational change, and other effects that weaken the environment over time.
A
Threat activity and exploitable paths working against the defended environment.
Inputs
Outputs
How to read the result
The Risk Compression Engine models direction and change over time; the Risk Compression Index presents the current normalized measure.
Engine output stays tied to the evidence and material changes that produced the movement.
The canonical Ford Differential remains dR/dt = f(E + P − D − A). Implementation details do not redefine that differential.
Evidence freshness, scope, and quality remain visible instead of disappearing behind the result.
Risk Compression Index
The index uses the current engine result and the evidence supporting it. It gives users a consistent measure while the engine explains why modeled risk moved.
Works with