This research provides a practical synthesis of detection methods across textual, visual, and audio AI-generated content to address growing misinformation and security concerns.

• Evaluates detection techniques for multiple content modalities including text, images, and audio
• Addresses critical issues of misinformation, copyright infringement, and security threats
• Focuses on preserving content authenticity against increasingly sophisticated AI generators
• Offers solutions to maintain public trust in digital information

For security professionals, this research delivers essential knowledge and tools to identify synthetic media that could be used in social engineering attacks, impersonation, or other security exploits.

A Practical Synthesis of Detecting AI-Generated Textual, Visual, and Audio Content