Outcome model
Automate the repeatable work without automating away operator judgement.
Red teams need an extensible methodology engine, transparent evidence and explicit control over sensitive execution.
01Operationalise methodology
- Encode repeatable discovery, validation and evidence requirements as reusable workflows.
- Select methodology from target context instead of running every technique everywhere.
- Version test logic, prompts and operator decisions.
02Extend coverage safely
- Turn emerging research and unusual behaviour into explicit hypotheses.
- Generate purpose-built tests when the library does not answer the question.
- Require approval for novel tooling, privileged access or potentially disruptive steps.
03Keep the operator in the loop
- Inspect the reasoning and evidence behind every next action.
- Pause, redirect or add context without restarting the engagement.
- Separate automation outcome from human assertion in the final record.
04Success looks like
- More coverage of high-value hypotheses.
- Less time reproducing routine collection steps.
- A complete evidence trail suitable for technical review.
