Autonomy is earned, not claimed
Brief
After more than 300,000 production penetration tests (pentests), our company has learned something that may surprise people watching the recent wave of autonomous security announcements. The hardest problem in autonomous security isn’t teaching a machine how to attack. It’s teaching an AI-based system how to operate safely, predictably, and repeatedly inside production environments where mistakes have consequences.
Finding an attack path is an engineering problem. Building a platform that organizations trust to operate against healthcare systems, financial institutions, manufacturers, and critical infrastructure is an operational one. The difference only becomes apparent after years of running at scale.
As the industry embraces AI agents, autonomous red teaming, and machine-speed operations, much of the conversation remains focused on capability.