AI

AI Data Security: Protecting AI Models and Sensitive Data

AI Data Security: Protecting AI Models and Sensitive Data

Artificial intelligence is transforming industries – from healthcare and finance to manufacturing and government – driving innovation, efficiency, and smarter decision-making. But as AI systems become more powerful, the risks they bring grow equally complex. AI doesn’t just process data; it learns from it. These systems rely on massive volumes of sensitive information, proprietary models,...

by Michal Wachstock

March 22nd, 2026 15 min read

Your Best AI Models Deserve Real Customer Data – Without the Liability Risk

Your Best AI Models Deserve Real Customer Data – Without the Liability Risk

You’re a data engineer or ML scientist. You architect models that need to generalize across unique customer environments including fraud detection, healthcare diagnostics and HR forecasting. But too often you’re held back, not by architecture, not by compute, but by the data itself. Your training sets? Synthetic or sampled proxies that fail to capture true...

by Michal Wachstock

September 17th, 2025 3 min read

LLMs Behind the Firewall and How Secure RAG Unlocks Your Hidden Data

LLMs Behind the Firewall and How Secure RAG Unlocks Your Hidden Data

Large Language Models (LLMs) are powerful when applied to public data, but their true transformative value comes from unlocking the knowledge hidden inside organizations’ own sensitive datasets. Government agencies, healthcare institutions, legal firms, and enterprises generate massive volumes of information every day, yet much of it remains siloed, underutilized, or inaccessible due to security and...

September 1st, 2025 7 min read

Why Agentic AI Demands a New Approach to Data Governance

Why Agentic AI Demands a New Approach to Data Governance

The world is currently experiencing a major shift toward more autonomous systems, known as agentic AI. These systems are capable of making independent decisions, acting on behalf of users, and even learning from their experiences. Gartner predicts that by 2028, 33% of enterprise software applications will include agentic AI, a sharp increase from less than...

by Michal Wachstock

August 19th, 2025 9 min read

Revolutionize Your Research: Meet Duality Assistant Agents

Revolutionize Your Research: Meet Duality Assistant Agents

Analysts and researchers are constantly seeking ways to unlock deeper insights from their datasets. But what if you could do this while simultaneously upholding the highest standards of data privacy and security? At Duality, we’re excited to introduce our new solution: Duality Assistant Agent, an innovative framework designed to transform how you conduct a secured...

by Adi Hirschstein

July 2nd, 2025 7 min read

Gartner AI TRiSM & Duality

Gartner AI TRiSM & Duality

What is AI TRiSM? AI TRiSM (Trust, Risk, and Security Management) is a framework introduced by Gartner to ensure the security, privacy, and governance of AI applications throughout their lifecycle. It aims to address the key risks and compliance challenges associated with deploying artificial intelligence at scale. In simple words, think of AI TRiSM like...

May 19th, 2025 8 min read

Advancing Privacy-Preserving AI: Duality’s Secure, Federated Learning with NVIDIA & Google Cloud

Advancing Privacy-Preserving AI: Duality’s Secure, Federated Learning with NVIDIA & Google Cloud

Duality v4.3 is now available! Duality’s integration of NVIDIA FLARE and Google Cloud Confidential Space combines federated learning with PETs such as TEEs to advance AI collaboration.

March 17th, 2025 7 min read

Unlocking the Potential of Agentic AI with Privacy-Enhancing Technologies

Unlocking the Potential of Agentic AI with Privacy-Enhancing Technologies

Generative AI (Gen AI) has dominated AI discussions, but a new concept is emerging: Agentic AI. The evolution of Gen-AI takes us to a new paradigm shift for software development and user interaction, agentic AI combines large language models (LLMs), retrieval-augmented generation (RAG), and structured decision-making to enable autonomous, goal-driven AI systems that interact, adapt,...

February 11th, 2025 7 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

How to Train Conditional Generative AI

How to Train Conditional Generative AI

To train a piece of artificial intelligence (AI) is nothing short of an art. It’s a process that involves precise calibrations, scientific understanding, and endless iterations. Generative models are a category of AI that can generate new data from the same statistical distributions as the training data. Such models are often used to produce synthetic...

by Michal Wachstock

November 5th, 2024 7 min read

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