As autonomous AI agents become integrated into critical sectors, the need to safeguard and secure these systems becomes urgent. Unlike traditional software, autonomous agents make decisions and take actions with minimal human oversight, increasing their potential and risks. Malicious exploitation, unintended behavior, and adversarial manipulation are real-world threats that demand robust security frameworks. This calls for a multidisciplinary approach that combines cybersecurity, AI ethics, regulatory oversight, and technical safeguards to ensure systems operate safely, reliably, ethically. Safeguarding and Securing Autonomous AI Agents explores agentic AI security, focusing on the unique risks, threats, and defensive measures required to safeguard autonomous AI agents. It examines threat models, detection and mitigation strategies, and ethical considerations for their safe deployment. This book covers topics such as fraud detection, ethics and law, and risk management, and is a useful resource for engineers, policymakers, security professionals, academicians, researchers, and scientists.