// GLOSSARY

AI-assisted Offensive Workflow

The use of human-supervised AI by the penetration-test and Red Team team across discovery, hypothesis generation, evidence handling, reporting and re-test flows; it is the backbone of the AI for Pentest & Red Team service. Separating two common misunderstandings from the start clarifies the concept. First: this is not a test sold to an external customer but an internal leverage that raises the team's own productivity; AI here is a tool, not a product. Second and more important: this is not a fully autonomous attack agent. The concept's entire design draws a deliberate boundary between itself and the fear of 'AI running an attack on its own'. AI takes on the speed-providing side: it scans thousands of log lines, generates hypotheses about likely attack paths, accelerates repetitive evidence-handling tasks, prepares report drafts. But the decision and the responsibility are always carried by a human; the approval model and human-in-the-loop gates stand in front of every step that touches the target. This distinction is both a legal and an ethical necessity: the consequences of a step taken in a penetration test can be borne by an authorized expert, not by software. Observability makes every step of the process accountable. AI generates hypotheses, the human decides.