What's happening at OpenSanctions?

How we're mapping out politically exposed persons

We're taking the plunge and publishing our methodology on collecting PEP data to serve the industry as a potential reference point in a challenging area of compliance data.

Transparency Fabric: It takes a network to fight a network

The Transparency Fabric aims to combat money laundering, terrorist financing, and sanctions evasion by mapping GLEIF's universal entity identifier, the Legal Entity Identifier (LEI), to both Open Ownership and OpenSanctions' datasets.

Announcing the logic-v1 scoring mechanism

OpenSanctions is constantly improving our services, and we’ve just released a new version of our API software, `yente`, that lets users try a new matching system. False positives and accuracy are a wicked problem across the AML space, and we’re actively working to improve the precision of our results.

New scoring modes in the OpenSanctions API

You can now select from a range of different algorithms that score your results when you use the OpenSanctions API to screen a set of companies and people.

Introducing our new Advanced Screening search

We're introducing a new advanced screening search, which lets you use multiple search criteria and fuzzy matching to identify watchlist entities.

StoryWeb: Experiments in building graph data from journalistic texts

We've been working on a simple tool for building networks of people and companies in the news out of media reporting. Until this can become an adverse media tool, signficant work remains to be done.

Expanding OpenScreening, powered by OpenSanctions KYB

Analyze and explore the relationships between beneficial owners, sanctions and politicians with OpenScreening, powered by OpenSanctions KYB data.

Understanding interrelationships in the ‘Security State’ in the Middle East

Canadian data scientist and activist Wael Alalwani wants to map relationships between members of what he calls the ‘Security State’ - business elites, political actors, army generals and others.

Introducing the new OpenSanctions API

As we’ve been speaking to businesses and organizations interested in OpenSanctions, we’ve seen a clear need amongst them for an easy-to-integrate, software-as-a-service API.

Digging into sanctioned companies using OpenCorporates

Both OpenSanctions and OpenCorporates provide powerful data building blocks for compliance. By linking our databases up, we make it easier to track assets or assess exposure.

Weaving a deeper sanctions web using data enrichment

We're adding linked data from the GLEIF company database and the ICIJ OffshoreLeaks to enrich the corporate targets in our system with relevant ownership or officership relations.

Self-hosted and extensible: the OpenSanctions API

In this post, we’ll explain how you can use our open source components to build a customized sanctions and PEPs matching service - on your own premises, with your own data, with complete privacy and meeting your own requirements.

Improving the way we score matching results

Our updated API uses a statistical model to determine if your query matches one of the entities in the OpenSanctions database. As we do this, we put a premium on transparency and share both the training data and scoring code.

What is next for OpenSanctions?

Since its launch last September, OpenSanctions has nearly doubled its scope to 204,000 persons and entities of interest from across 43 data sources.

Using graph analytics to find evidence of corruption

In cooperation with Linkurious, we worked to develop a network graph view of the OpenSanctions data and demo how it can be used in anti-corruption and money laundering investigations.

How-to: Using the matching API to do KYC-style checks

Know-Your-Customer (KYC) checks are a different challenge to normal text searches: your query is supposed to describe a person or company in some detail to allow the OpenSanctions API to check if that entity (or a similar one) is flagged.

We're now integrating persons of interest from Wikidata!

The structured-data edition of Wikipedia offers a compelling source of information on many persons in the public eye. Mining the data is, however, not for the faint of heart.

The CIA lost track of who runs the UK, so I picked up the slack

A guest post from Tony Bowden about his efforts to build an open source dataset of world leaders inside of Wikidata, the structured-data version of Wikipedia.

How to sanctions-check a spreadsheet using OpenRefine

OpenRefine, a power tool for data cleaning, offers a way to quickly check hundreds or thousands of names against the OpenSanctions database to find the ones that might be persons of interest in an investigation.

Introducing business licenses for OpenSanctions

We are introducing business licenses for OpenSanctions as a way for companies using the data to support our long-term sustainability.

Using ICIJ DataShare to sanctions-check a document leak

OpenSanctions is a resource for journalists to find leads in document stashes. But in order to use it, you need a tool that can help you search sanctioned entities inside your documents.

How we deduplicate companies and people across data sources

One key function of OpenSanctions is to match and de-duplicate data from many sanctions lists. In this article, we discuss our approach to matching and merging list duplicates.

Presentation: What is OpenSanctions?

Our colleagues at the OpenOwnership initiative gave us an opportunity to present a very quick introduction about the OpenSanctions project. Have a look at the recording!