Swatters are using AI voices to deceive 911 dispatchers, and it's getting worse

AI-generated voices are making swatting - the deliberate reporting of a false emergency to provoke a major police response - more convincing and harder for 911 systems to assess. A bomb threat made with an AI voice against a California high school in August led to an overnight police response and canceled classes, though no bomb was found and no one was injured. Such hoaxes can target schools or individuals to harass or retaliate against them, divert responders from genuine emergencies, and have caused deaths and injuries. Dispatchers say synthetic voices can now include natural pauses, hesitations, and varied intonation, while inexpensive tools make voice cloning accessible. AI-generated background sounds can add to the deception.

A survey by APCO International and the Public Safety Threat Alliance gathered 766 responses from public-safety communications professionals; about 14% said they had been targeted using AI tools. Dispatchers’ organizations expect the problem to grow and are developing training, including questioning callers in detail about information that cannot readily be retrieved from public databases or social media. Some swatters avoid calling 911 directly, instead contacting police departments or courthouses, where calls may later be transferred to dispatch centers and be difficult to trace. Officials are withholding specific training methods to avoid helping attackers adapt. Even with warning signs, dispatchers must treat reports of life-threatening emergencies as real and send help, because the consequences of dismissing a genuine call are too severe.