IBM Research - Israel

Security

Our research covers the entire range of security solutions, including: data and AI security, privacy, cloud security, threat management, attack simulation, privacy preserving analytics, fully homomorphic encryption (FHE), blockchain, and more.

 

News and Blogs

Data security and privacy at MPNE consensus 2024

Researcher Ariel Farkash presents work on Model Anonymization and Data Minimization as part of the iToBoS project

Best Artifact Award at the Privacy Enhancing Technology Symposium (PETS 2023)

The research paper "HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data" was recognized as Best Artifact at PETS 2023

Modernizing banking with central bank digital currencies

Why are distributed ledger technologies (DLTs) important for CBDCs in the modern era?

Building privacy-preserving federated learning to help fight financial crime

In this blog, ISRL researchers and their co-authors describe their solution for detecting anomalies in suspicious financial transactions, which won second place at a recent privacy technologies challenge.

Research Projects

Data and AI Privacy

Privacy has always been a concern when seeking to develop trustworthy AI solutions, even with conventional machine learning and deep learning models. Today, with the prevalence of large, foundational language models, this concern becomes even more acute. Language models have an inherent tendency to memorize and even reproduce in their outputs text sequences learned during training, may this be pre-training, fine-tuning or even prompt-tuning. If this training data contained sensitive or personal information, this could result in a major privacy breach.
IBM is currently researching and developing methods to assess the privacy risk of large foundational models, adapted to cover these new and evolving attack vectors and able to scale to these huge model sizes. Moreover, we are investigating potential mitigation strategies that can help large language models be more resistant to this kind of attack.
AI Privacy Toolkit 360
AI Privacy Toolkit GitHub repository

Fully Homomorphic Encryption

IBM Research created Fully Homomorphic Encryption (FHE) which keeps sensitive data encrypted at all times, securing the cloud for highly regulated industries. We’ve built HElayers for you to start building commercial applications with FHE across Windows, Linux, macOS and Linux on IBM Z mainframe.

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Blockchain Platforms

We are creating high-performance messaging solutions, including replication middleware for distributed ledger technologies, consensus algorithms, interactive protocols, and a complex blockchain-based management system. The team has vast expertise in distributed computing with a focus on distributed ledger technology such as Hyperledger Fabric, blockchain databases such as Hyperledger Orion, high availability, clustering, and communication.

Read more about HyperLedger Fabric

The Hyperledger Orion Blockchain Database

Central Bank Digital Currency

We support central bank digital currencies (CBDC) in a hybrid cloud environment, using distributed ledgers, based on IBM's Hyperledger Fabric, and IBM Research's Weaver interoperability tool. By developing fungible and non-fungible token (NFT) infrastructures, we help support the digital representation of assets and rights to accelerate the exchange and interactions in business ecosystems.

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Publications

IBM researchers in Israel publish a wide variety of work every year as part of their work on research projects in the lab, in collaboration with other researchers and scientists in IBM, and together with academic and industrial partners from around the world.

Researchers in our group publish works at conferences and in scientific journals such as the Data Privacy Management workshop, the Cryptocurrencies and Blockchain Technology workshop, the AI and Ethics journal, and others.

Tools & Code

Confidential Containers

Confidential Containers is an open source community working to enable cloud native confidential computing by leveraging Trusted Execution Environments to protect containers and data.

View project

HELayers an FHE SDK

Fully Homomorphic Encryption SDK for Data scientists and Developer.

View project

Academic Collaboration

Collaborate with our researchers in investigating security solutions beyond the leading edge, including: Cyber Security, AI Privacy, Privacy Preserving Analytics (using Fully Homomorphic Encryption), and more.

Let's talk

We're always happy to talk. Feel free to get in touch.


Manager, Security


Blockchain


Security & Privacy Tech.