Counterparty risk: do banks know who they’re dealing with?
Available to watch on-demand 11 November 2026
Why trusted entity data matters for risk, compliance and AI
Banks can hold multiple records for the same client, counterparty or issuer across different systems and business lines. When those records cannot be reliably reconciled, firms can struggle to aggregate exposures, identify concentrations, apply compliance controls consistently and meet regulatory reporting requirements.
Artificial intelligence offers new ways to identify potential matches, investigate discrepancies and understand complex entity relationships. But reliable outcomes depend on trusted underlying data, including accurate entity hierarchies, clear lineage and effective governance and oversight.
This webinar will examine how banks are addressing fragmented entity data and building a consistent view of counterparties. Our expert panel will discuss where AI can improve entity matching and investigation, how firms are strengthening governance and controls, and what it takes to turn entity data into trusted intelligence for risk and compliance.
Among the discussion points:
- How fragmented entity data affects counterparty risk and exposure aggregation
- Building consistent entity identities, hierarchies and relationships across banks
- Where AI can improve matching, investigation and relationship discovery
- Evolving governance, lineage and human oversight of AI-assisted decisions
- Creating trusted entity intelligence for risk, compliance and regulatory reporting.
Join senior risk, compliance, data and technology practitioners to explore how banks can build the trusted entity foundations needed for more effective counterparty risk management.
Speakers
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