The exponential growth of the Internet of Things (IoT) has introduced considerable security and forensic challenges due to the rising complexity and heterogeneity of connected devices. As the adoption of the Internet of Things (IoT) continues to expand, so too do the vulnerabilities inherent to this technology, with threats ranging from the exploitation of individual devices to large-scale breaches of network security. It is imperative that IoT security frameworks undergo continuous evolution to address weaknesses in cryptography, authentication, and communication protocols. Concurrently, the field of IoT forensics encounters obstacles in the gathering and analysis of evidence due to the restricted memory and heterogeneous architectures of IoT devices. This chapter examines the critical aspects of IoT security, highlighting prevalent attacks, mitigation techniques, and the forensic methodologies employed to investigate compromised devices. Particular attention is given to the role of device heterogeneity, emerging forensic tools, and the impact of artificial intelligence on both security and forensic efforts. The discussion underscores the necessity for ongoing advancements to create a resilient IoT ecosystem capable of mitigating threats and enhancing forensic investigations.