EPISODE · May 7, 2025 · 47 MIN
Alon Kaufman: Unlocking the Future of Privacy Preserving Data Collaboration
from Scouting for Growth · host Sabine VdL
On this episode of the Scouting For Growth podcast, Sabine VdL talks to Alon Kaufman, CEO and Co-Founder of Duality Technologies, a company that is revolutionising the way organisations collaborate on data while preserving privacy and security. During today’s conversation, we’ll explore the vision behind Duality Technologies, the real-world problems it is solving, and how organisations can future-proof themselves against risks by adopting privacy-preserving technologies. We’ll also dive into Alon’s inspiring journey as a technology leader and his perspective on the ethical and strategic aspects of data collaboration in the age of AI and Big Data. KEY TAKEAWAYS Combining and enhancing data sets is becoming more and more challenging in a world where privacy, security, regulations and data protection are becoming more critical. This is a good thing. What inspires us at Duality is to find a way to allow organisations to unlock the challenges around working together on data in a way that both protects the data and allows you to get the utility out of it. At the source of Duality is: How can we work on data sets without leaking or sharing the data. That’s where homomorphic encryption comes in. This allows us to work on and analyse data while it remains protected or encrypted. Two companies each have a list of customers and they both want to understand how many customers they have in intersection. The way you did this before is for company A to disclose it’s list of customers to company B which does the analysis and fins the intersection or go to a trusted third party. With duality, the two companies can use our software platform to run a computation that comes up with the intersection without either company seeing each other’s data. We all want our governments and law enforcement to be able to do their work, but we don’t want them to pull in every data point that we leave outside. Duality allows law enforcement investigations to run queries and analytics only on data that is allowed and only giving the insights that are needed. Government and healthcare – where data sets are large an sensitive – are big places where Duality has been successful. BEST MOMENTS ‘In order to get the most value out of data, the more you can bring data sets together and enhance them the better off you are.’ ‘Duality’s mission is to run AI data science analytics on data sets that cannot simply be centralised, and doing it where ethe data is while making sure the data isn’t exposed, privacy isn’t leaked or challenges of data localisation and regulation are not violated.’ ‘Companies that already know to work on their own data, and control it, can now go to the next step and do it in a collaborative way.’ ‘Insurance companies need to work together around fraud because the fraudsters utilise the fact different companies don’t talk and will attack one and then the other because they know the level of data shared between them is limited.’ ABOUT THE GUEST Alon Kaufman is the CEO and Co-Founder of Duality Technologies, a pioneering company at the forefront of data encryption and privacy technologies. With over 20 years of experience in technology leadership, Alon has a rich background spanning Big Data, Data Science, Machine Learning, and Cybersecurity. As a thought leader, Alon frequently speaks on Big Data, Cybersecurity, and Innovation. He is committed to advancing the conversation around data privacy and security. LinkedIn ABOUT THE HOST Sabine VanderLinden is a corporate strategist turned entrepreneur and the CEO of Alchemy Crew Ventures. She leads venture-client labs that help Fortune 500 companies adopt and scale cutting-edge technologies from global tech ventures. A builder of accelerators, investor, and co-editor of the bestseller The INSURTECH Book, Sabine is known for asking the uncomfortable questions—about AI governance, risk, and trust. On Scouting for Growth, she decodes how real growth happens—where capital, collaboration, and courage meet. If this episode sparked your thinking, follow Sabine VanderLinden on LinkedIn, Twitter, and Instagram for more insights. And if you’re interested in sponsoring the podcast, reach out to the team at [email protected]
What this episode covers
On this episode of Scouting For Growth, Sabine VdL sits down with Alon Kaufman, CEO and Co-Founder of Duality Technologies, to tackle one of the biggest contradictions in modern enterprise growth: We need more data collaboration to win… but we also need more privacy, security, and regulatory control to survive. Alon and his team are solving that tension with privacy-preserving technology that lets organisations analyse and collaborate on data without exposing it—a capability that becomes exponentially more valuable in the age of AI and Big Data. The problem: data value rises… while data risk explodes Alon explains why combining datasets is getting harder — and why that’s actually a good thing. Privacy regulations, security expectations, and data localisation rules are tightening globally. That makes old-school collaboration models risky: centralising data in one place emailing datasets between partners relying on a “trusted third party” In today’s world, that’s not innovation — it’s liability. Duality’s mission is to unlock the value of joint data while keeping privacy intact: get the utility without leaking the data. The breakthrough: compute on data without sharing it At the heart of Duality is a powerful concept: homomorphic encryption. In plain terms, it allows organisations to run analytics on encrypted data—so the data stays protected while still producing insights. Alon gives a simple example: two companies want to know how many customers they share. Traditionally, one company would have to hand over their customer list (or send both lists to a third party). With Duality, they can compute the intersection without either side ever seeing the other’s raw data. That’s a huge unlock for partnership, fraud prevention, and responsible AI. Why this matters for government, healthcare… and insurance Duality has proven impact in high-stakes environments like government and healthcare, where datasets are large, sensitive, and heavily regulated. They also discuss a critical use case insurers will recognise instantly: fraud. Fraudsters exploit the fact that insurers don’t share enough information. They hit one carrier, then the next, knowing data collaboration is limited. Alon makes the case that insurers need ways to work together without violating privacy rules — and privacy-preserving analytics makes that possible. Privacy-preserving collaboration is a strategic advantage A key message from Alon: companies that already know how to manage and control their internal data can now take the next step—collaborate externally in a safe way. This isn’t just about compliance. It’s about unlocking growth: the more value you can create by enhancing datasets together, the stronger your decisions become—without increasing exposure. Why this episode matters For enterprise leaders, this episode delivers a clear roadmap for the next era: AI depends on data growth depends on collaboration trust depends on privacy and regulators aren’t going away Duality shows what future-proofing looks like: running analytics where the data is, generating the insight you need, and keeping the underlying information protected. Because in the AI era, the companies that win won’t be the ones who collect the most data. They’ll be the ones who can use it together — safely.
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Alon Kaufman: Unlocking the Future of Privacy Preserving Data Collaboration
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