Media forensics is the analysis of images, audio and video to determine authenticity, detect manipulation and attribute provenance, using techniques ranging from pixel-level artefact analysis to learned deepfake classifiers. It examines compression artefacts, sensor noise patterns, lighting inconsistencies and model-specific generation fingerprints to distinguish genuine capture from synthetic or edited content. It underpins deepfake detection systems and broader media authenticity assessment.