Agentic pentesting is security testing in which software makes autonomous decisions about the next test step. Instead of following a fixed script, the tool observes the target, chooses a path, and adapts its behavior based on what it learns. This is useful on modern web applications where login states, client-side logic, hidden endpoints, and role-based permissions can change the visible attack surface.
In practice, agentic pentesting can help defenders explore more paths than a traditional scanner and faster than many manual workflows. It can uncover deeper state-dependent issues, such as authorization flaws or logic errors that only appear after specific actions. The security value depends on transparency and control: teams need clear logs, repeatable results, and boundaries that prevent unsafe probing. Without those safeguards, a tool may create noise, produce false positives, or miss whether a finding is actually exploitable.