03 Feb What is Autonomous Penetration Testing and How Does it Work?
This week in cybersecurity from the editors at Cybercrime Magazine
Sausalito, Calif. – Feb. 3, 2026
–Read the full story from BreachLock
Everything you always wanted to know about penetration testing but were afraid to ask can be found in a widely popular blog post from BreachLock, a leading vendor in the Penetration Testing-as-a-Service (PTaaS) market over the past five years, according to Gartner.
The experts at BreachLock provided Cybercrime Magazine readers with a new blog post that answers a frequently asked question: What is autonomous pentesting, and how does it work?
Autonomous Penetration Testing is a modern pentesting approach that uses Artificial Intelligence (AI) technologies such as machine learning and natural language processing to autonomously and continuously simulate cyberattacks on enterprise systems with minimal or no human involvement.
These AI-enabled tools test environments like real attackers would, dynamically planning, executing, pivoting, and moving laterally to uncover weaknesses before a threat actor can exploit them.
Generative AI-powered autonomous penetration testing systems continuously adapt to changes in enterprise infrastructure and the evolving threat landscape. This enables simulation of complex attack paths aligned with modern attacker tactics, techniques, and procedures (TTPs).
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