What is autonomous penetration testing?
Autonomous penetration testing is software that attacks a network the way a human red team would: gaining a foothold, chaining weaknesses together, and reaching a defined objective such as Domain Admin, all without a human driving each step. Unlike a one-time engagement, it runs whenever you deploy it and proves every step with captured evidence.
How it differs from a traditional penetration test
A traditional penetration test is a human engagement: skilled testers, booked weeks in advance, working a fixed number of hours, then handing back a report. It is valuable, but it is a snapshot: true only for the days it was run, and only as deep as the hours allowed.
Autonomous penetration testing moves the same craft into software. It runs on demand, pursues many paths at once, and does not tire or run out of hours. What a red team does over weeks, it works through in minutes. Both are held to the same bar: proven compromise. It builds on two adjacent ideas: AI penetration testing, the machine decision-making that chooses each move, and automated penetration testing, the scripted automation it goes beyond. See the head-to-head against an automated platform.
How it differs from exposure inventory
An exposure inventory, the ranked list of weaknesses produced by vulnerability management, tells you what might be exploitable. It stops there. Every entry is a maybe: it has been matched against a database of known issues and left untested.
Autonomous penetration testing does the trying. It exploits, chains one weakness into the next, and either reaches the goal or exhausts every route. The output is a captured account of what an intruder can do. See the measured head-to-head. Chaining those misconfigurations into the domain is the focus of Active Directory penetration testing.
How it works
You set a goal in plain English: take Domain Admin, read a named inbox, find regulated data on a subnet. The software starts from a single foothold inside the network and works outward exactly as an intruder would:
- Enumerate: map the hosts, services, and identities reachable from where it landed.
- Exploit: turn a weakness into access, whether a web-application flaw, a misconfiguration, or a weak or reused credential.
- Chain: use that access to reach the next target, moving web app to host, host to network, network to domain controller.
- Prove: capture the evidence at each step.
It pursues many of these paths in parallel and adapts as it learns the environment, the way a real adversary does. See how the platform works or the deploy quickstart.
Why proof is the point
Every reported finding is a step that already happened, captured as it ran, not inferred from a version number. That is the difference between “this host may be vulnerable” and “here is the exact path to Domain Admin, and here is the data captured along the way.”
For a defender, proof is what turns a finding into a decision. It ends the argument about whether a weakness is exploitable: the exploitation is on record.
Where this page says “finding”, an AutoAttack report says “hop”: one access or credential transition where the adversary gained something it did not have. How to read one.
How AutoAttack does it
AutoAttack is an autonomous adversary that does exactly this. You deploy it as a single container inside your network, set the goal, and it proves the whole path to it. There is nothing to install on every host and no credentials to hand over. See the objectives it is set against, walked end to end, in the autonomous penetration testing use cases.