Illegal marine wildlife trafficking, including the trade of shark fins, seahorses, and sea cucumbers, poses a significant challenge in conservation efforts. A study published in Frontiers in Ocean Sustainability demonstrates how artificial intelligence (AI) can be utilized as a complementary tool to enhance detection capabilities at international airports and mail facilities. Researchers developed algorithms by scanning 68 samples of marine animals using 3D X-ray technology, achieving impressive success rates of 95% for shark fins and seahorses, and 85% for sea cucumbers. While AI can assist in identifying trafficked items, human inspectors and biosecurity dogs remain crucial for verification. The study underscores the need for improved detection methods to combat the estimated $23 billion global wildlife trafficking market, which intersects with other criminal activities. The implementation of these AI algorithms at frontline inspection points could help in uncovering key trade routes and ultimately contribute to the protection of marine biodiversity.