eyeDES® Surveillance
Monitor conduct, prioritise risk, investigate alerts and document defensible outcomes with AI-native trade surveillance.
Explore eyeDESAI-native market conduct surveillance
Detect market abuse and emerging misconduct across asset classes. Reduce alert noise. Give investigators the evidence to reach faster, defensible decisions.
Test surveillance coverage effectiveness against real enforcement intelligence.
Market conditions move. Trading behaviours adapt. eyeDES analyses market participants' behaviours and indicators of intent relative to liquidity, volatility and the surrounding order book - without depending on fixed scenarios or parameters.
eyeDES helps teams focus on relevant conduct risk, reduce repeated calibration work and broaden coverage without increasing investigation effort at the same rate.
Discuss your surveillance programmePrioritise higher-risk activity so investigators spend less time reviewing noise and more time assessing conduct that merits attention.
Identify behavioural combinations and indicators of intent beyond established scenarios and regulatory typologies.
Bring chronology, transparent evidence, scoring, market context and narrative into one investigation view.
Maintain a transparent record of what was detected, reviewed, escalated or closed - and why.
Connect activity across instruments, venues and asset classes to reveal coordinated behaviour and risks that siloed surveillance can miss.
eyeDES supports day-to-day surveillance, prioritisation and investigation. The Market Integrity Lab helps teams test control effectiveness against enforcement-derived cases and evidence coverage decisions.
Detect conduct risk. Validate controls. Evidence effectiveness.
One connected proposition for surveillance teams, model-risk functions and regulators.
Monitor conduct, prioritise risk, investigate alerts and document defensible outcomes with AI-native trade surveillance.
Explore eyeDESTest controls against enforcement-derived cases, identify gaps and evidence control effectiveness.
Explore MILA transparent path from what happened in the market to what the surveillance team decided.
Bring orders, executions, cancellations, accounts and high-fidelity market context together. Identify behaviours and indicators of intent.
Use adaptive intelligence and AI to focus the queue on higher-risk behavioural combinations.
Review evidence, chronology, scoring and narrative. Escalate or close with a documented rationale.
Create traceable case records that support governance, model validation and regulatory review.
Shaped through production use, practitioner input, regulatory innovation programmes and collaboration with market-data specialists.
Selected to demonstrate AI-native surveillance and adaptive machine-learning capabilities.
Supporting enforcement-led analytics and surveillance control benchmarking.
Available on-premise, in private cloud or through a hosted deployment model.
See eyeDES in action, discuss your surveillance requirements or request access to the Market Integrity Lab.