Graph modeling works best when paired with explicit boundaries: learned compression inside, deterministic constraints outside.
T-UEBA: temporal heterogeneity
In tactical security, graphs encode users, hosts, processes, and events over time. The objective is causal legibility under shift, not abstract embedding quality.
- streaming graph updates
- multi-plane risk calibration
- evidence drilldown for analysts
Augrade: geometry with editability
In 2D→3D workflows, graph-only models underfit hierarchy and repeated structure. A graph-program hybrid better preserves motifs, constraints, and revision semantics.
- geometry-native object tokens
- typed relation graphs
- program-like edit grammars + validators
Distributed execution implication
DAICON-style deployment pressures make representation and systems inseparable: you must decide what state travels, what computes locally, and what remains verifiable under unreliable links.