The threat of terrorism demands a constant revaluation of security policy since it is of an unexpected nature and prone to constantly changing tactics. Autonomous systems (AS) which include, artificial intelligence, robots, and machine learning (ML) are increasingly being suggested as a revolutionary tool for counterterrorism (CT) operations. This chapter highlights the main operational, ethical, and legal issues while examining the different ways that AS may enhance capabilities, lower risks, and address current terrorist threats. AS is a paradigm change from conventional, human-centric CT techniques. It is characterised as systems that can operate and make decisions on their own within certain constraints. Its integration seeks to enhance human cefficiency and capacities in threat assessment, monitoring, reaction, and prevention to facilitate more successful and coordinated counterterrorism operations. The emergence of autonomous weapon systems challenge human understanding and ideas of autonomous combat and lethal force. Since artificial intelligence could someday be used for similar schemes against people and governments, terrorist organisations’ use of technology could result in a deadly loop of technological improvement in the fight against terrorism. One of the main worries is how easily autonomous systems could be breached and used maliciously or against their operators. CT will be able to ensure security without compromising fundamental human values or international legal obligations by negotiating this difficult terrain and utilising the benefits of emerging technology while reducing their inherent risks.