Security

What Is Data De-identification?

What Is Data De-identification?

Data de-identification is often treated as a straightforward concept: remove personal identifiers and the data becomes safe to use. In reality, it is far more complex and far less absolute. In regulated environments like healthcare, finance, and AI development, data de-identification is not just a technical step. It is a risk management strategy used to...

by Michal Wachstock

April 7th, 2026 11 min read

Is Secure Collaboration Possible Across Air-Gapped Systems?

Is Secure Collaboration Possible Across Air-Gapped Systems?

In the security-conscious sectors of defense, intelligence, and critical infrastructure, air-gapped systems remain a cornerstone of data protection. Their design, physically separated from external networks, offers a strong assurance of confidentiality.

by Michal Wachstock

December 8th, 2025 3 min read

Paradox or Blessing? Regulations vs Innovation in Data & AI

Paradox or Blessing? Regulations vs Innovation in Data & AI

At first glance, the latest and continuing development of data and AI regulations and frameworks seems to be at odds with both innovators and established enterprises. It’s easy to feel this way when reviewing the growing number of general and cross-border data protection regulations strengthening and emerging around the globe – they’re undeniably restrictive. But...

by Michal Wachstock

November 26th, 2024 6 min read

Is Duality’s Platform Compliant with NIST?

Is Duality’s Platform Compliant with NIST?

The National Institute of Standards and Technology (NIST) recently released updated guidance on “Safe, Secure, and Trustworthy AI,” and we’re excited to share how Duality’s Confidential AI solution aligns with these requirements. One key criterion NIST emphasizes for trustworthy AI is that it must be “Privacy Enhanced.” This implies that AI ecosystems need to incorporate...

by Michal Wachstock

October 23rd, 2024 5 min read

Apple’s FHE Announcement: Privacy-led Growth Has Begun

Apple’s FHE Announcement: Privacy-led Growth Has Begun

Apple's recent announcement of integrating Homomorphic Encryption (HE) into iOS 18 is a monumental step for privacy. It signifies the coming-of-age for privacy-enhancing technologies, a field once considered theoretical but now becoming a practical necessity in our data-driven world. Duality has a solution that allows anyone to adopt this technology without the expertise and time required to build an in-house solution.

by Michael Hughes

August 9th, 2024 2 min read

The Data Challenge: Shifting from DevSecOps to MLSecOps

The Data Challenge: Shifting from DevSecOps to MLSecOps

DevSecOps has been a thing in software security for over a decade, emphasizing the integration of security from the design phase onwards. These foundational principles continue to serve as the basis for MLSecOps and AISecOps, however, they take it a step further. What is DevSecOps? DevSecOps stands for development, security, and operations. It is a...

by Michal Wachstock

August 2nd, 2024 6 min read

What is A Zero Trust Data Protection Strategy

What is A Zero Trust Data Protection Strategy

What is Zero Trust Data Protection? Zero Trust is a security model based on one simple premise: don’t trust anyone, not even those inside the network perimeter. In a zero trust security model, all access requests, whether internal or external, are treated as potentially malicious until proven otherwise. This approach fundamentally shifts from traditional security...

by Michal Wachstock

May 9th, 2024 6 min read

The Future of Data Clean Rooms, TEEs, and Secure Data Sharing

The Future of Data Clean Rooms, TEEs, and Secure Data Sharing

Exec Summary Data clean rooms (DCRs) are beginning to capture attention as potential components of data privacy and AI security solutions, offering a controlled environment for secure collaborative data analysis. However, DCRs have been available for a while, so what do they do and why did Duality decide to support Trusted Execution Environments (TEEs) instead...

by Michal Wachstock

May 3rd, 2024 5 min read

The Data Dilemma: How Data Services Companies Can Unlock New Value with Privacy-Enhancing Technologies

The Data Dilemma: How Data Services Companies Can Unlock New Value with Privacy-Enhancing Technologies

"The future of the data-driven economy hinges on privacy. PETs enable data services companies to harness the power of their data and AI models responsibly – a win-win for businesses and consumers alike." Learn how Secure AI Collaboration can help your data service business 1. Unlock New Revenue Streams 2. Build Trust and Compliance 3. Drive Data-Fueled Innovation

by Michael Hughes

April 9th, 2024 4 min read

Principles of an AI Governance Framework

Principles of an AI Governance Framework

The world is rapidly building some of the most powerful tools humanity has ever created, and doing it at an unprecedented pace. AI systems now diagnose diseases, drive cars, approve loan applications, and even help judges determine criminal sentences. Yet for all this power, we’re essentially writing the rulebook as we go. As generative AI...

by Michal Wachstock

April 4th, 2024 7 min read

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