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Third Party Risk Management

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VALUE PROPOSITION

  • Building a multi-source, centralized vendor datastore based on a schemaless Knowledge Graph, alleviating issues with data quality, lineage and management
  • Automating information gathering review, enabling alerts of changes in vendor attributes and key events in near real-time
  • Lowering Total Cost of Ownership by shifting to OPEX using low code PaaS over cloud infrastructure and decreasing labour-intensive tasks by providing a process-centric, AI-embedded application
  • Decreasing false positives and errors using AI-based evaluation, allowing the firm to allocate staff to high-value differentiated activities (e.g., risk assessment)

Modernisation of a world-leading managed service provider offering third party risk management solutions, by automating workflows and increasing integration to reduce administrative burden

 

BACKGROUND

The firm faced increasing regulatory scrutiny, audits and fines. New guidelines demanding more frequent third-party reviews were impractical due to the firm’s highly manual investigation process

The service provider was faced with assessing financial services suppliers, however, its manual vendor onboarding and third-party research process was slow and expensive

Analysts were unable to effectively absorb and analyse scattered, incoherent data to draw accurate conclusions and apply them consistently across decision-points

TARGETS

  • Increase profitability by decreasing costs through automation
  • Meet new regulatory requirements for speed and frequency, by including an alert system for key changes in third party attributes
  • Accelerate the introduction of new services and integration of acquired products by unifying enterprise-wide data and processes

ADDRESSING THE NEED

  • Created a multi-client service environment with dedicated sites for each client and an MSP portal
  • Configured vendor, contract and case management workflows, including screening, risk evaluation and rating
  • Implemented sub-sourcing controls, identifying vendor business partners and subcontractors and ensuring that the risks fit the firm’s business and security strategy
  • Applied continuous monitoring, tracking real-time changes of information gathered during vendor due diligence and assessment
  • Automated the analysis and evaluation of cyber events across industries and jurisdictions, ensuring cyber risk management and data security

 

 

Other Use Cases

Refinement of interactions with high net worth customers of a private banking and wealth management brand owned by one of the world’s largest banks, by deriving insights from open data sources, including journalism and social media[...]

Next generation FIU technology PaaS for ventures brands (outperforms legacy systems using paid sources) – demonstrating advanced data source integration and rapidity of deployment[...]

Modernization of the cyber insurance infrastructure for a world-leading reinsurance company serving the entire insurance lifecycle, supporting underwriters, brokers and clients[...]

Enhancement of data acquisition for a global consulting firm that advises Fortune 1000 companies, transforming data gathered from open and restricted sources into valuable insights [...]

About BlackSwan Technologies

BlackSwan Technologies is a SaaS Product company. Its Flagship product ELEMENT is a cognitive operating system that enables rapid development of Enterprise AI-Driven applications. ELEMENT is the foundation that can be used by enterprises across multiple industries to build robust AI applications, tools and workflows. With hundreds of pre-configured data fetchers, analytical functions, models and user interface components, element makes heavy use of knowledge graphs and a range of Machine Learning techniques to help companies improve outcomes and reduce costs.

BlackSwan ELEMENT is trusted by some of the largest, fastest, and most innovative companies in the world.