A high-performance AWS big data solution to process, store and report on large volumes of unstructured data >>>


About Acuris Risk Intelligence

Acuris Risk Intelligence (ARI) is a trusted and independent provider of data intelligence for anti-money laundering, anti-corruption and cybersecurity professionals.

ARI combines human intelligence and code to pinpoint risks associated with forming business relationships, providing accurate intelligence through unique data solutions.

Project details

Client: Acuris Risk Intelligence
Industry: Data analytics and intelligence
Project type: Custom software / big data
Project duration: 10 months + support

The challenge

ARI have an ongoing requirement to process vast amounts of unstructured data to create meaningful information and insights for their customers.

Their previous solution, while functional, had scalability and performance issues, preventing growth and providing a suboptimal user experience.

There was also limited support for this ageing legacy product. Acuris Risk Intelligence needed a new solution to meet their evolving needs.

“Our challenge was to replace an underperforming legacy big data solution. We faced problems with performance, functional limitations and the constraints of supporting a legacy system.”

Nick Parfitt, Head of Market Planning, ARI

The solution

We worked with ARI to Implement a robust and scalable solution, using advanced AWS components such as AWS Kinesis, Redshift, Aurora and ElasticSearch, to allow multiple data ingestion routes. We also built a high-performance front-end and API layer, allowing customers to query data and generate detailed reporting of records.

Unstructured data is uploaded using an interactive UI mapping tool or a fast-track method for pre-structured items. State-of-the-art automated inferencing and data extraction engines perform transformation using data pipelines that can be automatically scaled depending on demand.

Custom data ingestion pipelines stream vast quantities of transformed data into a structured data storage tier warehouse, using AWS Kinesis as the underlying streaming platform.

The architecture designed by Salpo brings together best of breed AWS components with custom processing pipelines to automatically ingest vast quantities of semi-structured data; and make these formats searchable in a performant, auditable and easily extensible API.

Advanced AWS technology

The results

Acuris Risk Intelligence now have a big data cyber solution to process, store and report on large volumes of unstructured ‘dark web’ data, to allow their customers to proactively detect data risk and support compromised individuals.

The Salpo solution provides a high-performance data lake with a multi clustered search interface, producing low latency, highly-relevant results, presented from API search queries and large monitored lists.

The solution utilises high-performance AWS components with a streamlined code base to deliver a robust and scalable solution. Having ingested and processed more than 45 billion records to date, the database is among the largest elastic search clusters in AWS.

“Salpo built a high-performance big data solution, capable of fulfilling our growing data requirements and meeting global customer expectations.”

Nick Parfitt, Head of Market Planning, ARI

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