Dynamic Entity Resolution

Sometimes you need throughput, sometimes immediacy or just pure accuracy. Our entity resolution can be deployed both batched-based or dynamically, from a single platform. With a single configuration that works for multiple use cases and deployment models.

One size doesn’t fit all. You need different entities for different use cases and different risk appetites – and to tailor strictness and fuzziness dynamically.

With our entity resolution you can ingest data once and scale across your business for multiple use cases, without replicating data – handling even demanding areas such as financial crime.

• Build entities in real-time using specific data sources, attributes, and fuzzy matching for a use case.

• Review how entities have been resolved and interactively change resolution criteria in our user interface.
• Use APIs to resolve dynamically with configurable resolution criteria which can be varied from one call to the next.

Adding sensitive data to batch-built entities pollutes them, letting people infer what they shouldn’t see – even if raw data is masked. Trying to pre-calculate every possible combination of permissions requires infeasible data duplication and processing. But leaving data out for security reasons leaves value on the table, and risk unaddressed.

Our dynamic entity resolution addresses this issue and supports complex data security models for enterprise-wide users within a single, consistent configuration.

• Resolve entities on the fly to reflect user permissions.
• Mask data users shouldn’t see, or eliminate all traces.