Swatting calls using AI means fake 911 calls are harder to detect

AI-generated voices and sound effects are making swatting calls - false reports of emergencies intended to provoke a major police response - more convincing and harder for 911 dispatchers to recognize. A call using a synthetic voice prompted an overnight response and school closure in Yuba County, Calif., despite there being no bomb. Swatting has long diverted emergency resources and, in some cases, caused injuries and deaths; the new technology raises the stakes by making callers sound natural, with realistic pauses and verbal hesitations. Voice-cloning tools are inexpensive and allow users to alter pitch and intonation. A survey of 766 public-safety communications professionals found that about 14% had been targeted with AI tools, and dispatch organizations expect that share to grow.

Dispatchers cannot simply dismiss suspicious calls: reports of immediate danger must be treated as real, and emergency crews will still respond. Officials say swatters often call police departments or courthouses rather than 911, which can make tracing them difficult. The associations representing dispatchers are developing training to address the threat, while withholding details that could help people evade detection. One proposed approach is to ask highly specific questions whose answers cannot be readily pulled from public databases or social media. As synthetic media improves, recognizing a fake by listening alone becomes increasingly unreliable, forcing dispatchers to balance careful verification with the need to act quickly.