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Flock develops prompt-based AI that identifies drivers and links plates to personal data for police
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Flock has built a prompt-driven AI system for law enforcement that matches license-plate scans to case files, 911 logs and commercial databases, turning vehicle data into names, addresses and associates.
The tool contradicts Flock’s long-standing public claim that its technology cannot recognize, identify, or track individuals. By allowing officers to query a place, time and behavior pattern and receive dossiers on people without needing a plate or name, it expands surveillance capabilities beyond traditional ALPRs. Critics, including a George Washington University law professor, warn that this moves Flock toward a digital policing platform and raises concerns about misuse amid bipartisan political pressure and documented officer abuse.
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Flock’s new prompt-based AI identifies drivers and tracks vehicles by movement patterns, converting license-plate data into personal identities via case files, 911 logs and commercial databases.
The system provides access to 45 tools that draw on plate scans, camera metadata, arrest records, ballistics results and commercial data containing Social Security numbers, dates of birth, phone numbers, email addresses and relatives.
Officers can issue natural-language prompts such as ‘Find me witnesses…’ to generate lists of plates and then dossiers, a capability that has drawn criticism for expanding police surveillance and risking misuse.
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