In this article, we will discuss corporate KYC data, by comparing primary-source data to stored data, and why data direct from the source is paramount in complying with KYC regulations and keeping your business safe against the evolving threat in the landscape.
What Is Primary-Source Data?
Primary-source data is information obtained directly from the source. In the context of KYC, primary-source intelligence includes data from corporate registries and official government sources, such as land registries, embargo and sanctions programs, and regulatory and law enforcement watchlists, among others. In a recent survey, 81% of senior management believe poor quality data severely delays customer onboarding and negatively affects the customer experience. The knock-on effect is poor customer retention and loss of revenues.
Harvesting information directly from primary sources is a regulatory requirement and recommended to be used to verify the identity of natural persons and legal entities during client onboarding and ongoing customer due diligence. Static data lacks quality, and outdated data causes more problems than it solves. In fact, regulators demand the use of primary-source intelligence. In the EU, the 6th Anti-Money Laundering Directive (6AMLD) came into effect on December 3, 2020, and must be implemented by financial institutions by June 3, 2021. 6AMLD places greater responsibility on regulated entities in the fight against financial crime by expanding the legislative scope of KYC and AML compliance and introducing tougher punitive actions for breaching regulations.
Publicly-available data gives timely access to crucial KYC data points, including the nature of the business, beneficial owners, legal representatives, and entity type — data that can help achieve compliance with the ever-changing regulatory landscape.
Primary-Source Data vs. Stored Data
Stored data is old data by definition, and old data is unreliable. When comparing primary-source data versus stored data, it is important to put into perspective the dynamism of data. Start by compiling a list of all the KYC data points analyzed during the KYC onboarding and customer due diligence process. Then, highlight all the data points that may be subject to change over time. What type of changes can occur? How important are those data points? What is the level of actual risk?
Once you have ranked the importance of dynamic data to your compliance investigative workflow, visualize carrying out a risk assessment using stored, unrefreshed or outdated data. What kind of red flags could you miss?
Ian Henderson CEO Kyckr
What are the implications of missing a shareholder? Or unwittingly doing business with an organization that is subject to the Office of Foreign Assets Control (OFAC) 50% rule? What will the regulator say? What are the potential implications for your business? The cascade effect can be damaging, resulting in significant financial losses and reputation damage. Relying on stored static data is extremely high-risk, but you can simply avoid this pitfall by using primary-source intelligence.
Why Primary Source Data Will Play a Key Role in the Future of Corporate KYC
Primary-source intelligence is already playing a key role in the present, but how does it bode for the future? The EU anti-money laundering directives, if followed correctly, can be an effective tool in the fight against financial crime by putting data at the center of financial crime prevention. Picture reformed corporate registries clamping down on fraud, money laundering and other criminal activities; ultimate beneficial ownership registries are due to become interconnected at the EU level; and public registers of Politically Exposed Persons and other Data sharing initiatives prevailing. The measures introduced by regulatory change can drastically improve compliance if implemented successfully by financial institutions. Primary-source intelligence has the potential to be a game-changer but depends on how, when and where businesses adopt real-time data intelligence. Primary source information will play a critical role in corporate KYC risk mitigation and the fight against financial crime.
Conclusion
Making decisions based on primary-source data is an easy way to improve KYC compliance. Not only does it improve risk identification and mitigation, but it strengthens the risk-based approach by using the most up-to-date data readily available. KYC and AML investigations are only as good as the data you use, and the implications of non-compliance may result in a ceasing of operation orders, fines and/or imprisonment. Make sure you do not compromise your business activities or reputation by using unreliable outdated data.
In this article, we will discuss corporate KYC data, by comparing primary-source data to stored data, and why data direct from the source is paramount in complying with KYC regulations and keeping your business safe against the evolving threat in the landscape.
What Is Primary-Source Data?
Primary-source data is information obtained directly from the source. In the context of KYC, primary-source intelligence includes data from corporate registries and official government sources, such as land registries, embargo and sanctions programs, and regulatory and law enforcement watchlists, among others. In a recent survey, 81% of senior management believe poor quality data severely delays customer onboarding and negatively affects the customer experience. The knock-on effect is poor customer retention and loss of revenues.
Harvesting information directly from primary sources is a regulatory requirement and recommended to be used to verify the identity of natural persons and legal entities during client onboarding and ongoing customer due diligence. Static data lacks quality, and outdated data causes more problems than it solves. In fact, regulators demand the use of primary-source intelligence. In the EU, the 6th Anti-Money Laundering Directive (6AMLD) came into effect on December 3, 2020, and must be implemented by financial institutions by June 3, 2021. 6AMLD places greater responsibility on regulated entities in the fight against financial crime by expanding the legislative scope of KYC and AML compliance and introducing tougher punitive actions for breaching regulations.
Publicly-available data gives timely access to crucial KYC data points, including the nature of the business, beneficial owners, legal representatives, and entity type — data that can help achieve compliance with the ever-changing regulatory landscape.
Primary-Source Data vs. Stored Data
Stored data is old data by definition, and old data is unreliable. When comparing primary-source data versus stored data, it is important to put into perspective the dynamism of data. Start by compiling a list of all the KYC data points analyzed during the KYC onboarding and customer due diligence process. Then, highlight all the data points that may be subject to change over time. What type of changes can occur? How important are those data points? What is the level of actual risk?
Once you have ranked the importance of dynamic data to your compliance investigative workflow, visualize carrying out a risk assessment using stored, unrefreshed or outdated data. What kind of red flags could you miss?
Ian Henderson CEO Kyckr
What are the implications of missing a shareholder? Or unwittingly doing business with an organization that is subject to the Office of Foreign Assets Control (OFAC) 50% rule? What will the regulator say? What are the potential implications for your business? The cascade effect can be damaging, resulting in significant financial losses and reputation damage. Relying on stored static data is extremely high-risk, but you can simply avoid this pitfall by using primary-source intelligence.
Why Primary Source Data Will Play a Key Role in the Future of Corporate KYC
Primary-source intelligence is already playing a key role in the present, but how does it bode for the future? The EU anti-money laundering directives, if followed correctly, can be an effective tool in the fight against financial crime by putting data at the center of financial crime prevention. Picture reformed corporate registries clamping down on fraud, money laundering and other criminal activities; ultimate beneficial ownership registries are due to become interconnected at the EU level; and public registers of Politically Exposed Persons and other Data sharing initiatives prevailing. The measures introduced by regulatory change can drastically improve compliance if implemented successfully by financial institutions. Primary-source intelligence has the potential to be a game-changer but depends on how, when and where businesses adopt real-time data intelligence. Primary source information will play a critical role in corporate KYC risk mitigation and the fight against financial crime.
Conclusion
Making decisions based on primary-source data is an easy way to improve KYC compliance. Not only does it improve risk identification and mitigation, but it strengthens the risk-based approach by using the most up-to-date data readily available. KYC and AML investigations are only as good as the data you use, and the implications of non-compliance may result in a ceasing of operation orders, fines and/or imprisonment. Make sure you do not compromise your business activities or reputation by using unreliable outdated data.
Prediction Markets Go Institutional as Galaxy Digital Moves Event Trading to the OTC Swap Market
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FM Daily Brief – 9 June 2026
FM Daily Brief – 9 June 2026
FM Daily Brief – 9 June 2026
FM Daily Brief – 9 June 2026
Today’s Tuesday, the 9th of June 2026, and these are our main stories: eToro’s customer assets climbed back above $20 billion, Prop trading model in prediction markets, and Leverate launched a new AI assistant for brokers and traders.
Today’s Tuesday, the 9th of June 2026, and these are our main stories: eToro’s customer assets climbed back above $20 billion, Prop trading model in prediction markets, and Leverate launched a new AI assistant for brokers and traders.
Today’s Tuesday, the 9th of June 2026, and these are our main stories: eToro’s customer assets climbed back above $20 billion, Prop trading model in prediction markets, and Leverate launched a new AI assistant for brokers and traders.
Today’s Tuesday, the 9th of June 2026, and these are our main stories: eToro’s customer assets climbed back above $20 billion, Prop trading model in prediction markets, and Leverate launched a new AI assistant for brokers and traders.
War Stories: Lessons from 20 Years in Markets (the pain, the pitfalls and the profits)
War Stories: Lessons from 20 Years in Markets (the pain, the pitfalls and the profits)
War Stories: Lessons from 20 Years in Markets (the pain, the pitfalls and the profits)
War Stories: Lessons from 20 Years in Markets (the pain, the pitfalls and the profits)
War Stories: Lessons from 20 Years in Markets (the pain, the pitfalls and the profits)
War Stories: Lessons from 20 Years in Markets (the pain, the pitfalls and the profits)
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The Engine and the Fuel: How AI & Data Drives African Future
The Engine and the Fuel: How AI & Data Drives African Future
The Engine and the Fuel: How AI & Data Drives African Future
The Engine and the Fuel: How AI & Data Drives African Future
The Engine and the Fuel: How AI & Data Drives African Future
The Engine and the Fuel: How AI & Data Drives African Future
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
Inside My Best Trade with Jimmy Moyaha
Inside My Best Trade with Jimmy Moyaha
Inside My Best Trade with Jimmy Moyaha
Inside My Best Trade with Jimmy Moyaha
Inside My Best Trade with Jimmy Moyaha
Inside My Best Trade with Jimmy Moyaha
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy