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.