Symbolic Attack Chain Generation from Atomic Red Team Techniques: An Empirical Study of Predicate Representation Granularity
This work investigates whether AURORA's nine-category taxonomy provides representational distinctions beyond those captured by a reduced, empirically derived scheme, and suggests that higher granularity primarily enhances the internal structural resolution of a plan's justification rather than the viability of the generated attack chain itself.