Flock OS Investigate

This is a materially different proposition from the automatic number plate recognition network it sits on, and is recorded separately for that reason. Formerly called Nightshift and now marketed as OS Investigate, it combines vehicle movement data from Flock cameras with police databases and commercial identity information, and allows investigators to search in natural language.

The change is in what question can be asked. Conventional plate recognition answers where a specific vehicle has been. This allows searches that begin without a known registration number and without a known individual: identifying vehicles exhibiting a pattern, then moving from those vehicles to potential individuals, associates and suspects.

WHAT THE INVESTIGATION FOUND

Most of what is publicly known about the tool comes from a WIRED investigation by Dhruv Mehrotra and Dell Cameron, which reconstructed its capabilities from more than 450 files exposed through Flock's own login pages rather than from any disclosure by the company.

The reporting describes a set of built-in prompts that let officers search for people by behaviour. A substantial number of them focus on movement patterns, and a large share require no registration number, no name and no physical description to run. The system is described as cross-referencing roughly 120,000 cameras against case files, emergency dispatch records, ballistics data and commercial identity databases.

Flock has stated the tool is still in testing.

WHY THIS SITS AWKWARDLY WITH THE COMPANY'S PUBLIC POSITION

For years Flock told the public that its cameras cannot recognise, identify or track individuals — a claim that underpinned much of the case made to city councils considering the network. A tool that starts from a movement pattern and works towards an individual is difficult to reconcile with that assurance, and the tension is the substance of the criticism rather than an inference from it.

THE CASE FOR IT

The underlying investigative problem is genuine. A vehicle seen leaving a scene, with no legible plate, is a dead end under conventional plate recognition. Pattern-based search offers a route where none existed, and Flock's network is large enough that the route may actually lead somewhere.

Integration is also a real efficiency. Investigators currently correlate camera data, dispatch records and case files by hand across separate systems, and doing it in one place is faster and less error-prone.

THE CASE AGAINST

The central objection is that searching by pattern rather than by identifier inverts the usual sequence of an investigation. Conventionally, suspicion attaches to a person and evidence is then gathered about them. A query that returns everyone whose movements match a described behaviour reverses that: the population is searched first, and suspicion is assigned to whoever the query returns. The ACLU's Chad Marlow has characterised this class of search as a fishing expedition.

The disclosure route matters too. This capability became public because files were exposed on the company's own login pages, not because Flock, or any police department using it, told anyone. A tool of this reach entering service without public notice is a governance failure independent of whether the tool is useful.

The scale of cross-referencing compounds it. Combining camera data with commercial identity databases means the search reaches material that no police force collected and no court authorised.

Context is relevant: the Washington Post reported that Flock cameras featured in 46 of at least 50 recent documented misuse cases, and the company announced a set of accountability measures on 13 August 2026, shortly before a national week of action against plate readers.

WHAT IS NOT ESTABLISHED

Which agencies have access, and whether any have used it operationally rather than in testing, is not established.

Whether the prompt set reported by WIRED reflects the current product is unknown, since the reconstruction came from exposed files rather than documentation.

What audit trail exists for a pattern-based query, and whether any authorisation is required before running one, is undocumented.

Flock's own account of the tool's capabilities has not been published in any detail comparable to the reporting.