Deepfake Technology, Leveraging Deep Learning Algorithms Like Generative Adversarial Networks (Gans), Creates Realistic Synthetic Content By Having A Generator Produce Fake Media And A Discriminator Evaluate Its Authenticity Until The Content Is Indistinguishable From Real. The Key Aspects Include Face Swapping, Voice Cloning, Realistic Lip Syncing, Behavioral Manipulation, And Text-To-Speech Synthesis. This Technology Poses Significant Cybersecurity Risks By Enabling Impersonation And Fraud, Such As In Phishing Attacks And Social Engineering Schemes, And Threatens Traditional Security Measures Like Biometric Authentication And Digital Identity Verification. The Spread Of Disinformation Via Social Media Further Exacerbates These Risks. To Combat The Threats Posed By Deepfakes, Organizations And Individuals Must Implement Robust Security Measures And Stay Informed About Evolving Risks.