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TLCTC
ⓘ The bundled attack paths are AI-assisted analyses of public threat reporting. Quality improves with evolving AI capabilities. They illustrate the practical application of the TLCTC framework.
Corpus analytics

Path Atlas

Which cluster follows which, how fast each transition happens, and where attack paths start, end and cause Data Risk Events — computed over a set of TLCTC Layer-3 attack-path records. Every number opens the steps behind it.

Count
Source
Confidence

Curated, AI-assisted corpus — these statistics describe the records loaded here, not the threat landscape. Unresolved steps (?, …) never form transitions (R-UNRES-3); the breaks they cause are counted as dropped.

Transition matrix

Rows: the step's cluster. Columns: the next step's cluster. Parallel groups link to the step before and after them, never within the group. Click a cell for its velocity profile.

Velocity

Transitions

Entry and exit

The first and last evidenced step of each record; a parallel group counts every member. A record that starts or ends with an unresolved step has no evidenced entry or exit.

Entry cluster

Exit cluster

Data Risk Events by cluster

DRE codes attached to a step, counted against that step's cluster. Refinements also count to their parent: Ii and If to I, Av and Ac to A.