Risk Operations
Monitor live exposure, positions and P&L across servers. Apply A/B/C book classification, dealing limits and configurable risk views, with drill-down to the underlying trades.
Aurora Sentinel
Risk & Revenue Platform
AI featuresAurora Sentinel brings exposure, book-level P&L, bridge routing and liquidity-provider fills into one operating view. Give dealing, risk, finance and management teams a shared basis for investigating risk, revenue and execution.
Inside the platform
For dealing desks, heads of risk, finance teams and brokerage leaders.
Monitor live exposure, positions and P&L across servers. Apply A/B/C book classification, dealing limits and configurable risk views, with drill-down to the underlying trades.
Reconcile client trades with bridge routing and LP fills. Investigate markup, execution slippage and client profitability using traceable records.
Configure alerts, hedge planning and supported execution routes. Shadow mode, dealer-defined limits, approval rules and an emergency stop support controlled activation.
AI-assisted insight for the dealing desk.
A written summary of what changed in exposure, P&L and alerts since the last shift.
The trades, routing, LP fills and rule triggers behind an alert, laid out in time order.
Brief me for the London open.
Net exposure is $41.8M, up 6.2% since the Asia close.¹ Gold is the largest change: +1,280 oz in the B book since 08:00.²
Two alerts need attention: XAUUSD concentration (high) and LP-2 slippage (medium).³ One proposed hedge is waiting in the queue.
Sources
The dealer approves any hedge in Sentinel.
Sample data
Through Aurora’s own APIs. No direct access to trading servers or databases.
It sees only the books and clients the signed-in user can see.
Each number links to the record and timestamp behind it.
Exposure, P&L and balances come from Sentinel and Nexus, not the model.
Hedges, limits, withdrawals and messages go through the product’s controls and audit trail.
Each step is a separate control, applied to every request.
FxCubic supports routed-order and fill reconciliation. Centroid supports FIX drop-copy; routing controls are confirmed separately. Other bridge adapters and optional CRM integrations are assessed against available interfaces.
Activation depends on supported connectors, provider onboarding and the agreed scope. An integration does not imply a commercial partnership.
Live exposure and book-level P&L, limits and breaches, hedge planning, roles and audit trails. Includes 9 alert templates and 16 report templates.
Adds bridge and LP reconciliation, markup and slippage analysis, client risk scoring, automated hedge execution and the AI features Shift Briefing and Alert Investigation. Includes all 17 alert templates and 22 report templates, subject to module and connection requirements.
Licensing is scoped by edition, trading servers, bridge connections and optional integrations. Implementation and support are scoped separately. AI features are included in Enterprise only.
Start with a demo or secondary server and the required bridge connections.
Configure groups, exclusions, give-up accounts and book-classification rules.
Compare figures against the existing process and resolve differences before relying on them.
Enable agreed alerts and limits. Validate automated actions in shadow mode before execution.
Aurora Sentinel is an Aurora-owned risk and revenue platform. Aurora supplies and implements the product, connecting it to the external trading servers, bridges and liquidity providers in your environment.
No. Existing hedging automation follows configured policies and supported execution routes. The AI features add reviewed analysis and explanations; they do not authorize trades.
Deployment can be scoped for private cloud, on-premises or client infrastructure. Availability targets, regional topology, recovery objectives and support hours are agreed for the selected deployment.
The Enterprise edition. AI features are not part of the Standard edition. They work in Arabic and English and are processed by a third-party AI service under your agreement.
Next step
Assess product fit, data access, integrations and team workflows. Receive a written implementation recommendation, including which AI features fit your teams.
Every Aurora engagement starts with a short, no-commitment diagnostic and a written deliverable. No price list — we scope your environment, then quote.
See available diagnostics