The capabilities of deepfake technology are boosted by artificial intelligence and deep learning to transform digital media. This technology generates artificial content presentation that often resembles genuine substance. Deepfake technology enables benefits in accessibility along with education and entertainment systems but dangerous utilization creates significant concerns. Artificial intelligence and deep learning enable three major risks: false information dissemination combined with identity theft and cybercrime activities. The research analyzes deepfake technology and demonstrates its operational mechanisms while evaluating its advantages and disadvantages. The research evaluates security dangers together with moral concerns while supplying real-world illustrations that demonstrate its societal influence. Various detection approaches including blockchain verification and AI-based models together with legal instruments for stopping deepfake crimes are examined in the paper. We must maintain creative development and ethical practices for deepfake technology evolution to minimize possible risks while unlocking maximum positive usage opportunities.

Keywords: Deepfake, Generative Adversial Networks, Artificial Intelligence, Autoencoders