$34.5M Auto Theft Ring Busted: Canadian Authorities Seize Vehicles at Montreal Port 

April 4, 2024


Canadian officials seized nearly 600 stolen vehicles at Montreal Port, breaking up a major auto theft ring. The cars are worth an estimated $34.5 million Canadian (US$25.5 million). Most were stolen from the Greater Toronto Area, where car thefts are on the rise. 

Source: AP NEWS 


This seizure shows the growing problem of auto theft across Canada. Toronto has been hit especially hard. Organized crime rings often target expensive vehicles to sell in other countries. Stolen cars can also be linked to other crimes like carjackings and home invasions, impacting communities in multiple ways. 


Finding Networks: Auto theft investigations involve complex networks of thieves, middlemen, and those involved in exporting vehicles. Identifying everyone involved is key to stopping the rings. 

Tracking Vehicles: Stolen cars are often quickly changed or hidden, making them hard to track after the initial theft. 

International Cooperation: Fighting these international crime rings requires strong cooperation between law enforcement in different countries. 


iCognative™ is a powerful investigative tool that can uncover hidden knowledge within a suspect’s mind. Authorities input confidential details, and iCognative™ strategically presents them to the suspect, and identify whether that information is familiar to the suspect. In complex auto theft cases like this, iCognative™ could be a valuable asset:  

Network Mapping: iCognative™ tests could reveal a suspect’s knowledge of key people, nicknames, or secret codes used in the theft ring. 

Tracing Stolen Vehicles: Authorities could assess suspects’ responses to information about how cars are modified, where they are hidden, or their final destinations. 

Exposing Communication: iCognative™ might detect recognition of coded terms, communication methods, or plans used by the theft ring. 

iCognative™ could accelerate auto theft investigations with close to 99% accuracy. 

Source: Brainwave Science