Flock Introduces Mandatory Auditing Tool and Data Limits to Address Surveillance System Misuse
Surveillance startup Flock has announced updated operational policies and features aimed at reducing abuse among law enforcement agencies that use its automated license plate reader technology. The measures include shorter recommended data retention timelines, enhanced data-sharing restrictions, and mandatory implementation of its internal oversight tool known as Audit Assistance.
What Happened
Flock announced several policy and software changes designed to address concerns regarding the misuse of license plate recognition systems by police customers. Under the new guidelines, the company recommends that law enforcement agencies store captured data for seven days, a reduction from the previous 30-day window. To accommodate longer investigations, Flock launched “Evidence Mode,” which permits extended data storage for exceptional cases when tied to a specific case number.
Flock is also enabling agencies to restrict the sharing of plate reader data with outside customers based on the specific type of offense being investigated. Furthermore, the company will require all clients to adopt its “Audit Assistance” tool by the end of the year. First launched in April, the tool monitors system usage, detects atypical search activity, and flags potential misuse for administrative review, with the capability to automatically lock out flagged accounts until an administrator conducts an inquiry.
Key Highlights
- Data Retention Reductions: Flock now recommends law enforcement reduce baseline data storage from 30 days to seven days, with “Evidence Mode” available for longer preservation linked to specific case numbers.
- Mandatory Auditing Tool: All law enforcement customers must enable the “Audit Assistance” feature by the end of the year. More than one-third of customers currently use it.
- Automated Account Locks: The system can automatically lock out users who exhibit abnormal search behaviors until agency administrators review the flag.
- Technical Clarifications: Flock stated to TechCrunch that Audit Assistance does not use artificial intelligence or machine learning, describing it as a data tool that flags patterns such as searching for a single license plate under multiple case codes.
- Expert Scrutiny: Privacy advocates from the American Civil Liberties Union (ACLU), the Brennan Center for Justice, and the Electronic Frontier Foundation (EFF) have raised questions regarding the tool’s efficacy, the lack of third-party audits, and the need for legal safeguards.
Why This Matters
The policy adjustments follow multiple incidents of officers being disciplined, terminated, or arrested for misusing Flock systems for personal reasons. In a recent instance cited by the company, three former sheriff’s deputies in Bibb County, Georgia, were arrested for allegedly using the system to stalk personal contacts, an abuse Sheriff David Davis stated was uncovered via Audit Assistance.
However, civil liberties organizations argue that internal tools require external verification. Chad Marlow, senior policy counsel at the ACLU, noted that without independent evaluations, it is impossible to determine the tool’s true detection rate or verify whether it functions reliably. Security experts, including Cooper Quintin from the EFF, pointed out that internal departmental oversight may fail to prevent misuse unless accompanied by legal constraints and warrant requirements, while Rachel Levinson-Waldman of the Brennan Center noted that independent audits are necessary to understand how the system operates in practice.
What to Watch Next
Flock customers who have not yet enabled Audit Assistance will be required to activate the feature before the end of the year. Observers and privacy advocates continue to call for independent evaluations to measure the tool’s accuracy, false-positive rates, and overall effectiveness in preventing unauthorized surveillance.
Frequently Asked Questions
What is Flock’s Audit Assistance tool?
Audit Assistance is a data monitoring tool designed to detect irregular search behavior on Flock’s automated license plate reader platform and alert system administrators for review.
Does Audit Assistance use artificial intelligence?
According to Flock, the tool does not rely on machine learning or AI models; it operates as a data tool programmed to flag abnormal patterns, such as looking up one plate across multiple different case numbers.
What new data retention rules did Flock introduce?
Flock is now recommending that police departments keep captured plate data for seven days rather than 30 days, unless an extended timeframe is justified under a specific case number using Evidence Mode.
Source: TechCrunch reporting based on company announcements, public releases, and expert commentary.