Security

How to Build an AI Governance Framework That Actually Enforces Privacy

How to Build an AI Governance Framework That Actually Enforces Privacy

An AI governance framework is only as effective as its ability to enforce the rules it defines. Most organizations invest heavily in governance policies, risk assessments, and compliance documentation, yet those controls often break down once AI systems move into production and sensitive data flows across teams, cloud environments, and third-party partners. The problem isn’t...

by Michal Wachstock

April 4th, 2024 12 min read

The Definitive Guide to Pets

The Definitive Guide to Pets

Picking a pet is no small decision. Everything from financial and time commitments to the lifespan of a particular type of pet should be considered. Do you travel? Short trips or long trips? How much time do you have for a pet? Can you train the pet? Do you want a unique pet? How much is pet food and which other supplies are needed? Let's be honest, those little furballs (or scale-balls) have their own agendas that are helpful to understand in answering the questions above. It's time to break down the pet kingdom by the levels of sass they tend to give their humans.

by Michal Wachstock

April 1st, 2024 4 min read

Challenges with Implementing and Using Inference Models

Challenges with Implementing and Using Inference Models

Executive Summary As machine learning and artificial intelligence become integrated into organizational and government processes and strategies, their use across various sectors has become much more widespread. However, as their adoption grows, so too do the privacy concerns associated with utilizing vast amounts of data for model training and inferencing. Navigating the balance between leveraging...

by Michal Wachstock

March 29th, 2024 6 min read

Cross-Border Data Transfer: How to Collaborate Without Moving Sensitive Data

Cross-Border Data Transfer: How to Collaborate Without Moving Sensitive Data

Cross-border data transfer has always been a compliance headache. In 2026, it is also becoming an AI problem, since training a global model often means pulling in data from countries whose laws will not let that data leave in the first place. Most guidance still focuses on legal transfer mechanisms such as adequacy decisions, Standard...

by Michal Wachstock

March 15th, 2024 13 min read

Data Masking vs Tokenization: Key Differences and Why Regulated Industries Need More

Data Masking vs Tokenization: Key Differences and Why Regulated Industries Need More

TL;DR: A hospital wants to share patient records with a research partner. A payment processor needs to run analytics on transaction history without keeping raw card numbers around. And both come down to the same question: data masking vs tokenization, and which one fits the situation. The two get lumped together constantly, but they actually...

by Michal Wachstock

February 29th, 2024 16 min read

Duality Technologies and Carahsoft Partner to Bring Zero Footprint, Secure Data Collaboration to Government Agencies

Duality Technologies and Carahsoft Partner to Bring Zero Footprint, Secure Data Collaboration to Government Agencies

By leveraging Duality Tech's market leading secure and privacy preserving data collaboration platform, Carahsoft's data services delivers a Zero Footprint Investigation solution for public sector entities that meets the speed, scale, and data minimization goals while supporting a Zero Trust framework.

by Michal Wachstock

February 5th, 2024 4 min read

Data Masking vs. Encryption: How To Handle Sensitive Data?

Data Masking vs. Encryption: How To Handle Sensitive Data?

Protecting Your Data Managing and safeguarding sensitive data has gained significant priority for businesses across the spectrum. From enterprises collecting customers’ personal information to health organizations handling confidential patient data, all are faced with the challenge of protecting this vital data. Data breaches can undermine an organization’s credibility, breach laws, and result in significant financial...

by Michal Wachstock

January 30th, 2024 8 min read

How to Monetize AI Models Faster with Secure, Privacy-Protected Trials

How to Monetize AI Models Faster with Secure, Privacy-Protected Trials

AI models can serve many purposes. From helping organizations minimize risks, reduce costs, and identify growth opportunities to improving health research and fighting financial crimes. Unfortunately, vendors offering such models often run into customer privacy and security concerns that slow the sales process long before contracts are signed. After all, when personalizing a model, the customers’ data must traditionally be exposed for use. Duality’s Privacy Protected AI Solution eliminates such hurdles by building in security and privacy by design. Learn how a privacy-protected AI collaboration solution can set you apart in the highly competitive AI marketplace and empower you to outpace the competition.

by Michal Wachstock

December 27th, 2023 5 min read

A Better Way to Trial and Sell Data to AI Engineering Teams

A Better Way to Trial and Sell Data to AI Engineering Teams

The data vendors must hold on to their valuable data until a sale, and the AI model owner must protect their IP (the models). In this article, we demonstrate a solution that simultaneously supports the privacy of the data and the model while allowing model owners to validate the usefulness of the dataset. Through a privacy-protected trial, data vendors can better satisfy security demands from AI teams and shorten sales cycles by providing an easy path to data validation.

by Michal Wachstock

December 1st, 2023 10 min read

Secure AI Development & Training via Confidential Computing and TEEs

Secure AI Development & Training via Confidential Computing and TEEs

Duality announces the addition of a hardware-based security technology, trusted execution environments (TEEs or Secure Enclaves), for privacy protected AI development in AWS, GCP, or Azure.

November 2nd, 2023 8 min read

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