Data Lineage for Regulatory Compliance

Have 100% Confidence the Information you Give Regulators is Correct

Are you aware of how regulations—such as BCBS 239, DORA, AI regulations and GDPR—require you to know where data comes from, where it’s used, and how it changes before it’s used by the business?

You risk fines in the millions if not. Solidatus provides end-to-end data lineage to the extensive, detailed business level required for regulatory compliance.

 

How Solidatus Helps Keep you Compliant

A Complete View of Data, with Detailed Root Cause Analysis

Most solutions offer only an isolated view, without understanding its wider context – unsatisfactory for most regulators.

Solidatus provides complete, end-to-end views of data across all systems and at column level, so you can demonstrate how data flows and transforms from origin to consumption.

Show and Compare Past with Current Views

Bi-temporal views snapshot models of your end-to-end data estate at any point in time.

You can easily demonstrate to regulators what you’ve changed – and prepare for future compliance audits with confidence.

Map Regulation Policies to Data Assets

Stay ahead of regulatory compliance changes and store regulations in Solidatus as a reference model, so it can match and check policies with data.

Empower business users to click on policies, trace back to see whether checks are applied and identify any issues or gaps.

Specific Regulations and How Advanced Data Lineage Helps

Once you’ve built a foundation of data lineage for one regulation, you have the structure in place to add more requirements for other regulations. You won’t need to start from scratch with each new or amended regulation.

You will also have a foundation of data lineage for other uses in the business – like operational resilience, change management, AI and more.

End-to-End and Detailed Lineage for BCBS 239 Compliance

A key regulation for financial institutions – BCBS 239 – requires you to ensure the accuracy of your data and demonstrate intent to control where exactly it comes from and how precisely it changes, before being used in the business. The European Central Bank clarifies that firstly you must have data lineage. Secondly, that lineage must be ‘complete’ – a view of all data flows across all systems in your business. And thirdly, to the ‘attribute’ level. You must be able to drill from a broad view, down to the detailed column in a table level.

If you rely on home-built or basic lineage, this will not cover the detail required. Only Solidatus advanced data lineage provides end-to-end and granular lineage that keeps you aligned with regulatory compliance best practices.

The Comprehensive Capital Analysis and Review (CCAR) is a regulatory framework from the Federal Reserve, that seeks to ensure that the largest US banks have stringent capital planning processes and sufficient capital to be able to continue operating throughout times of economic and credit stress. Banks must run a series of simulations of different stressed events and submit a large number of regular reports to demonstrate compliance. These include reports such as FR 2052a, FRY-9C and a series of FRY-14 reports.

Solidatus’ customers include large banks that use Solidatus to support demonstration of their liquidity practices and stress testing. Having a robust and complete view of data flows, dependencies, priorities, issues and controls, helps banks keep on top of their data – and prepare and react better in times of turmoil. They have full visibility into their data and systems – and which business use cases they impact. And if a system fails, understand the priorities for bringing them back to business as usual.

Visibility of Personal Data Use, Controls and Compliance

GDPR requires you to understand the types of data you keep, its sensitivity and where it is stored. Solidatus enables you to see a visual map view across ALL systems in your business, including business-critical information, so you can identify whether controls around personal data are in place. You can easily identify which systems hold sensitive personal information and therefore require controls on top – such as limiting access to certain employees or masking personal information from view of people and AI agents. And you can drill down to the detail for further analysis and compliance.

If you receive a data access request from a customer, this is difficult to do without data mapping. Moreover, if the individual wants to know how their data is used across email, support systems, transaction systems, or mortgage systems—or even asks for some or all of it to be deleted—how can you fulfil the request and ensure regulatory compliance if you can’t see where sensitive data flows and in which systems it is used?

Support for your Testing, Resilience and Recovery Planning for DORA

The Digital Operational Resilience Act (DORA) requires financial businesses to enhance their resilience and reduce the occurrences and impact of disruptions from cyber attacks. According to the legislation, “Financial institutions are now required to follow stringent guidelines for safeguarding against [Information and Communication of Technology] ICT-related incidents. These include measures for protection, detection, containment, recovery, and repair.”

Solidatus supports DORA compliance with an up-to-date view of systems, data flows and dependencies, so you can quickly identify which systems and business use cases may be impacted by an incident. You’ll know priorities and which systems need to be restored first. You’ll also know which sources feed databases and how to rebuild them. This will accelerate your recovery and help you return to business as usual quickly.

Be Transparent about Your Use of AI. Know its Risk. Trust its Source.

Regulations around AI usage will only grow over time. Organizations should be proactive with robust regulatory compliance frameworks that align with both existing and potential future regulations, including the EU AI Act and Californian Generative AI: Training Data Transparency Act. Key current requirements include:

  • Be transparent and disclose to users that content has been generated or modified by AI
  • Know the level of risk your AI has
  • Abide by other regulations such as privacy and personal data use in AI
  • Publish summaries of datasets used for AI, including data source, start date of usage, copyright, ownership, data points, personal information and changes made to data

Solidatus helps you know exactly where and when you use AI, understand risk associated with your AI models, trust and disclose dataset details and to address data changes that put your AI models at risk.

A Dynamic View, Analytics and Compliance for ESG Initiatives 

The Environmental, Social and Governance (ESG) landscape now requires a more comprehensive set of principles, ethics, and ESG reporting standards. Solidatus’ lineage-first approach with our partners, brings together ESG principles, company priorities, assessment methodologies, data sources and metrics, to provide a complete end-to-end interactive map. Our sophisticated integration capabilities are used to relate metrics to how data flows through the company, providing assessment bodies with every critical piece of the puzzle.

Solidatus gives you a dynamic map of ESG initiatives that prevent a panicked response to new regulatory demands, ensuring a proactive approach to managing risks. You can quickly assess ESG compliance with Solidatus’ ESG analytics – and design, view, and track ESG initiatives across a broad spectrum of markers. Owners of different parts of the data landscape can contribute collaboratively, with all changes versioned for full change management and comparison.

There are many other regulations in place globally, which require you to understand how and where data is used in your business. Global cross-border data sharing and different personal data regulations, for example. There are over 100 different privacy regulations beyond GDPR, such as the Health Insurance Portability and Accountability Act (HIPAA) which provides standards that protect sensitive health information being disclosed without a patient’s consent.

Each country has their own specifics – and Solidatus supports these, helping you know if you do business in different countries, that you comply with those regulations. For example China won’t let you take personal sensitive data (PII) out of the country. So when running a results report, you’ll want to see on your data lineage map view that the necessary action has been taken to remove PII data before doing any reports and analysis.

Other requirements Solidatus supports are IFRS17, which concerns insurers measuring and reporting liabilities and profits. And anti-money laundering legislations like FFIEC 001, NY DFS 504 and many more.

A company has a BCBS 239 regulatory review and is told their data lineage is not detailed, accurate or complete. They start using advanced data lineage from Solidatus.

  • They build an end-to-end view of their data flows from source to target
  • They can see business context overlayed onto their data lineage, making it impactful for the business
  • Compliance teams are able to trace back from the regulation to see whether necessary controls are in place
  • When they have an audit a year later, they use bi-temporal version control to show how it looked at the last audit versus now – and can show what it might look like when new regulatory requirements come in.

Having done this for one regulation, they then show where personal sensitive information (PII) is kept, whether it is masked from people and AI agents, add other jurisdictional information and use it for operational resilience and DORA.

They use the foundation for more and more regulations, use cases, root cause and impact analysis – and make decisions for change based on what-if future scenarios. They are a truly proactive business.

Want to See How Solidatus Can Support Your Regulatory Compliance?

Insights and Articles

Providing Accurate, Complete and Timely Data for BCBS239 Compliance

Discover how to stay ahead in the evolving regulatory landscape of BCBS239

How Data Lineage Supports Regulations Such as BCBS 239, DORA, GDPR and the EU AI Act

How data lineage supports compliance with key data-related regulations