Autonomous Ethical Hacking for Accurate and Continuous Security Testing

Organizations nowadays are agile and tech-dependent, deploying updates frequently and relying ons 3rd parties. This leads to dynamic and complex digital systems with exposed and vulnerable assets. Testing frequency does not keep pace with development, is very noisy, and more than one-third of an organization’s attack surface is unknown to the organization.  Autonomous ethical hacking  powered by hackers and AI,  can help tech teams to identify and mitigate vulnerabilities and manage their digital infrastructure continuously and accurately. By combining machine hacking with human hacking in a symbiotic relationship, machines can go in-breadth and automated (80% of tasks with 20% of impact ); while ethical hackers go customized and in-depth  (20% of tasks with 80% of impact). The knowledge flows from humans to machines and the platform learns continuously through ML & AI. This allows to uniquely provide instant, continuous, accurate, and affordable security.