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Groups call on Canada to safeguard national security, combat expansive crime
The International Coalition Against Illicit Economies estimates an $8 trillion illicit trade threatens Canada’s security and economy, urging tougher border controls to combat transnational crime.
- Following publication of Phase 1 of the Canada Illicit Economies Project, the groups urged Ottawa to tighten border security, citing failures to crack down on illicit trade.
- Staggering flows of laundered funds underpin warnings as ICAIE and the Council of the Great Lakes Region say Mexican cartels and Chinese money‑laundering syndicates use Canada as a hub for illicit trade and money laundering.
- Smugglers are using e‑commerce, postal services, air cargo and vehicles, with ICAIE estimating over 50% of U.S.-Canada trade affected and 25% flowing through the Ambassador Bridge.
- The groups highlight gaps in official data and say illicit economies are destabilizing Canadian political and governance structures; ICAIE executive director David Luna said `Canada has become a safe zone for the world's most notorious crime groups and threat networks`.
- ICAIE warns the illicit economy is worth $8 trillion and underpins cross-border criminality, with laundering reportedly flowing through casinos, real estate and underground banking supported by Punjabi gangs, the Hells Angels and Iranian-linked illicit finance networks.
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Canadian Groups Urge Ottawa to Tighten Border Security Amid Illicit Trade Concerns
OTTAWA, ON – Two Canadian groups have called on the Canadian government to strengthen border security, highlighting failures to crack down on drug trafficking and illicit trade. While the U.S. and Canada “share one of the most successful and mutually beneficial economic and trade relationships in the world,” the groups argue, the transborder economies are facing “a myriad of inter-connected threats relating to illicit trade, from drug traffickin…
Coverage Details
Total News Sources24
Leaning Left2Leaning Right3Center8Last UpdatedBias Distribution62% Center
Bias Distribution
- 62% of the sources are Center
62% Center
15%
C 62%
R 23%
Factuality
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