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A practical perspective on how AI is being integrated into trade surveillance, and how we are building it into our platform.
A principled view on where AI should sit within surveillance frameworks, and the approach we're taking at TradingHub.
Seven short perspectives on how AI is being applied at TradingHub across analytics, workflows, and the path toward agentic surveillance.
Why conflicting narratives around AI make it harder to separate practical application from industry noise.
A clear framework for understanding where AI improves detection, and where it improves how surveillance is used.
How strengthening the analytics layer can improve surveillance outcomes without changing how decisions are made.
How richer context helps analysts move from detection to understanding more quickly and consistently.
How reducing friction in investigation and control creation can transform how surveillance operates day to day.
Why agentic workflows will emerge gradually, and how they are likely to be introduced in practice.
