PDF: From data sensitivity to regulatory strength
Learn how public authorities can collaborate—without compromising data or legal frameworks.
Designed for Scandinavian authorities, this report outlines how regulators and government agencies can use privacy-first technologies to securely collaborate and meet legal requirements. Includes real-world regulatory use cases and a roadmap to implementation.
What’s holding regulators back
According to a 2022 OECD report, over 60 percent of European regulatory agencies cite data-sharing restrictions as a top barrier to effective oversight. The result is a system where regulators must rely on outdated or secondhand information to fulfill mandates that demand real-time clarity.
Supervision doesn’t need raw data
Research by the European Union Agency for Cybersecurity (ENISA) shows that more than 70 percent of public sector IT leaders believe privacy-preserving technologies are critical for future compliance strategies. Regulators that adopt these tools gain a real-time view of markets without introducing new legal or reputational risks.
What secure collaboration makes possible
When regulators have access to privacy-preserving collaboration tools, the results are transformative. With the right infrastructure, it becomes possible to act with greater confidence and clarity, even in complex or sensitive environments.
Oversight without overreach
Data privacy doesn’t have to slow down regulation. With the right infrastructure, it becomes a strength.
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What's inside?
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Data sensitivity is often viewed as a barrier to innovation. This guide reframes it as a strength. It shows how organizations can turn privacy obligations into operational resilience and competitive advantage by adopting privacy-preserving computation.
The paper examines how data classification, encryption, and cryptographic collaboration can support DORA, AMLD6, and GDPR compliance in practice. It includes sector-specific examples from financial services, healthcare, and government, demonstrating how sensitive data can be analyzed securely without breaching confidentiality.
Download the PDF to learn how to build systems that protect sensitive data while meeting regulatory expectations and enabling secure multi-party collaboration across borders.
