AI-driven detection algorithm for computed tomography scanning systems using bespoke Microsoft AI to curb the trade. Currently, there are no integrated, multi-species illegal wildlife algorithms on the market. The project can be analysed to build a comprehensive and detailed picture of illegal wildlife trafficking across the world. It has been developed in collaboration with the United Kingdom Border Force’s Convention on International Trade in Endangered Species (CITES) team, London Heathrow Airport, as well as the Duke of Cambridge’s Royal Foundation.

The Illegal Wildlife Trade (IWT) Financial Flows Toolkit is for financial institutions with particular focus on Africa, Asia and broader global financial centres. The toolkit also provides comprehensive resources for addressing wildlife trafficking, including practical guides and strategic frameworks. It offers tools for law enforcement and conservationists to improve their response to illegal wildlife trade, focusing on investigation techniques, legal frameworks, and inter-agency cooperation. The red flag guidance document within this toolkit compiles a set of key IWT-related red flag indicators to help financial institutions identify the key signs of suspicious activity related to IWT. Some of these red flags are common to other types of crime, but are particularly relevant to IWT.