Mitigating the Risks of AI Deepfakes examines the growing threats posed by AI-generated deepfakes and explores methods to detect, prevent, and reduce their impact on society, cybersecurity, and digital communication. The book discusses how synthetic audio, video, and image technologies can be misused for misinformation, identity theft, fraud, political manipulation, and cyberattacks. It also presents technical and practical solutions including deepfake detection systems, machine learning defense models, digital forensics techniques, AI governance, ethical frameworks, and legal regulations. Real-world case studies and industry examples are included to demonstrate how deepfakes affect sectors such as healthcare, finance, transportation, cloud security, and social media. The book is suitable for: Cybersecurity researchers AI and machine learning students Digital forensics professionals Information security specialists Researchers in AI ethics and governance Technology policy analysts