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Deepfakes & Synthetic Deception (40777df7-8226-5253-9082-07a124a030d7)

  • Generative AI systems can produce highly realistic audio, image, or video content that mimics real individuals or events. When used maliciously or without clear disclosure, this content, commonly known as deepfakes, can be used for identity fraud, political manipulation, reputational damage, harassment, or the spread of disinformation.
  • Even when not intended for harm, synthetic content can deceive users if it lacks proper labeling or detection, violating transparency principles and potentially eroding public trust. This risk intensifies in contexts like journalism, education, political discourse, and public safety.

Threat-modeling question: Could the AI system generate or disseminate deepfakes or synthetic media that mislead users, impersonate individuals, or cause harm?

Cluster A Galaxy A Cluster B Galaxy B Level
Spearphishing via Social Engineering LLM (7159b4d1-7681-4028-8110-8ebdb16c7700) MITRE ATLAS Attack Pattern Deepfakes & Synthetic Deception (40777df7-8226-5253-9082-07a124a030d7) PLOT4ai 1
Spearphishing via Social Engineering LLM (7159b4d1-7681-4028-8110-8ebdb16c7700) MITRE ATLAS Attack Pattern Phishing (1f1f14ef-7d04-42b2-9f05-b740113b30f5) MITRE ATLAS Attack Pattern 2