Law enforcement officers in Texas abused the Flock Safety license plate surveillance database to stalk and track romantic interests and family members for personal reasons.
From January 2022 through December 2025, a Fort Bend County Sheriff's Office lieutenant in Texas reportedly used Flock Safety's license-plate reader system to search two vehicle plates 189 times and admitted the searches were unrelated to official law-enforcement work. A resident alleged stalking and feared for their family's safety. Internal affairs found department-order violations and imposed a two-day suspension.
Risk classification
- Primary risk domain: 4 Malicious actors
- Primary risk subdomain: 4.1 Disinformation, surveillance, and influence at scale
The incident involves the abuse of a massive, AI-powered vehicle surveillance network by authorized actors to conduct unauthorized, highly invasive personal tracking and surveillance.
Additional risk subdomains
- 2.1 Compromise of privacy by obtaining, leaking or correctly inferring sensitive information: The system was used to track individuals' real-time and historical locations, compromising their personal privacy without consent or legal warrants.
Causal factors
- Entity: Human
- Intent: Intentional
- Timing: Post-deployment
The incident was caused by human law enforcement officers intentionally abusing an active, post-deployment AI database for unauthorized personal surveillance.
EU AI Act risk tier
High Risk: The system is a law enforcement application used for tracking and identifying vehicles and characteristics, which has significant implications for fundamental rights and public interest.
AI system and alleged parties
- AI system: Flock Safety license-plate reader system (Flock Safety)
- AI purpose: License Plate Recognition; Smart Surveillance
- Behaviour type: Tool
- Alleged developer: Surveillance technology developers, Flock Safety, Automated license plate reader (ALPR) developers
- Alleged deployer: Stalkers, Law enforcement, Fort Bend County Sheriff's Office (Texas)
- Alleged harmed parties: Privacy, Individuals whose license plate data were accessed for non-law-enforcement purposes
Harm severity
Severity ratings are based on this scale.
Highest direct severity in any category: Minor. Severity is scored from Negligible to Catastrophic in each harm category, for harm the reports describe as caused directly or indirectly by the AI system.
- Physical: direct Negligible, indirect Negligible
- Infrastructure: direct Negligible, indirect Negligible
- Property: direct Negligible, indirect Negligible
- Financial: direct Negligible, indirect Negligible
- Environmental: direct Negligible, indirect Negligible
- Malicious content: direct Negligible, indirect Negligible
- Differential treatment: direct Negligible, indirect Negligible
- Civil rights: direct Minor, indirect Negligible
- Democracy: direct Negligible, indirect Negligible
- Privacy: direct Minor, indirect Negligible
- Psychological: direct Minor, indirect Negligible
- Epistemic: direct Negligible, indirect Negligible
- Child sexual exploitation and abuse: direct Negligible, indirect Negligible
Civil rights
Reported: The report explicitly describes concerns regarding the violation of civil rights and constitutional protections against warrantless tracking.
Directly caused: Civil rights advocates from the ACLU of Texas stated that the warrantless location surveillance enabled by the officers' abuse violated the basic right to move freely without government surveillance.
Inferred additional harm: Widespread unauthorized searches of citizens' movements likely violated the constitutional privacy rights of dozens of individuals across the documented cases.
Privacy
Reported: The report explicitly describes severe privacy violations resulting from unauthorized tracking of individuals' movements.
Directly caused: Officers used the Flock database to track where specific individuals lived, worked, and traveled by repeatedly searching their license plates without official law enforcement purposes.
Inferred additional harm: At least 28 individuals nationwide had their private location histories and daily movements compromised by officers abusing the database to track romantic interests.
Psychological
Reported: The report explicitly describes psychological distress and fear caused by the stalking behavior.
Directly caused: A victim reported fearing for her and her family's safety after discovering her license plate had been searched 148 times by a hostile relative who was a police lieutenant.
Inferred additional harm: It is highly likely that other victims of the documented 28 nationwide cases experienced severe anxiety, distress, and fear due to being stalked by police officers using the database.
People affected
- Occurrences reported: 3
- People reportedly harmed: 3
- People reportedly exposed: 3
Potential causes
Management
- Weak Disciplinary Action: Inadequate penalties, such as a two-day suspension, failed to deter abuse.
- Inadequate Agency Oversight: Lack of routine internal audits allowed unauthorized tracking to go unnoticed.
Technology
- Highly Detailed AI Tracking Capabilities: AI camera network tracks vehicle make, model, color, and location over time.
- Lack of Real-Time Access Restraints: System allowed officers to perform searches without upfront justification checks.
Data Inputs
- 30-Day Retention of Vehicle Data: Storing all vehicle movements for 30 days provides a detailed tracking history.
Human Factors
- Intentional Abuse for Personal Gain: Officers used the surveillance database to stalk romantic partners or family.
- Unauthorized Personal Use of Database: Officers performed hundreds of searches unrelated to official law enforcement.
Process and Methods
- Insufficient Initial Search Auditing: System lacked proactive, real-time blocking of suspicious search patterns.
- Inadequate Access Control Policies: Agencies failed to strictly limit and monitor access to the Flock database.
Regulatory Environment
- Absence of Warrant Requirements: Location surveillance via ALPRs was conducted without strict warrant oversight.
Information quality
- Classification confidence: High
- Reason for confidence: The reports provide clear, factual details from official internal affairs documents and police statements regarding the specific officers, the number of unauthorized searches, and the resulting disciplinary actions.
Law enforcement officers in Texas and nationwide abused the Flock Safety AI-powered license plate reader database to stalk romantic interests and family members. This represents a substantial violation of civil liberties and privacy rights, highlighting critical vulnerabilities in the oversight and auditing of AI-driven surveillance tools utilized by government entities.
- Overall national security impact: Substantial
- Scope: Single nation
- Primary target: United States
- Alleged perpetrator: Individual law enforcement officers
Threat characteristics
- Imminence: Long-term. The incident represents an ongoing systemic oversight and policy compliance concern rather than an immediate national security crisis.
- Autonomy: Human-controlled. The AI-powered license plate reader functions as a query tool; humans initiated and executed the unauthorized searches.
- Novelty: Evolved capability. While police database abuse is an established issue, the integration of widespread AI-driven pattern recognition and automatic tracking represents an evolved capability for invasive surveillance.
Impact by dimension
- Physical security: Negligible. The incident involves unauthorized personal tracking of individuals and does not target physical systems, critical infrastructure, or kinetic military assets.
- Information security: Minor. Abuse of a law enforcement database compromises local intelligence and personal data security, but does not represent a foreign state-sponsored intelligence compromise or classified model theft.
- Sovereignty: Minor. The incident involves local government employees abusing state-provided tools for personal reasons, which undermines local police integrity but does not threaten overall state sovereignty.
- Economic security: Negligible. No significant threat to national economic stability, strategic industries, or international technological competitive advantage is indicated.
- Societal stability: Substantial. Represents a substantial violation of civil liberties and privacy rights, with police officers using AI-powered surveillance networks to stalk citizens, undermining public trust in democratic law enforcement.
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