Cloud Security

Our research focuses on AI-driven methods to improve the state-of-the-art in security and privacy for cloud platforms or provided as-a-service on top of them. Our work includes: cryptography, confidential computing, and compute on encrypted data, data security and privacy, security analytics, container security and serverless security.

Data and AI Privacy

Many privacy regulations, including GDPR, mandate that organizations abide by certain privacy principles when processing personal information. This is also relevant for AI models trained using personal data. We are researching and developing several novel techniques and tools to enable AI-based solutions to adhere to such privacy requirements, including data minimization, anonymization and the right to be forgotten.

AI on Encrypted Data and FHE

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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Description Tutorial

Breach and Attack Simulation

Security and quality in computer systems is essential for attaining a high degree of user satisfaction and trust. As cyber systems and applications become more complex, we are facing new challenges in overcoming the limitations of existing attack mitigation techniques and big data development and testing practices. We focus on making significant contributions to cyber security analytics and data fabrication by exploring and developing new technologies, practices, and tools. Our activities include data fabrication, outlier detection, threat generation, hardware security, and participation in EU-funded projects.

XDR (Extended Detection and Response)

Extended Detection and Response (XDR) is an emerging technology for SoC automation that provides highly automated threat management workflows with continuously updated threat detection and response content. We work with collaborators across IBM and the industry to enables enterprise to protect their information resources and assets. A cornerstone of this product is Threat Investigator, a solution for automatic analysis and reasoning about cyber-attacks.

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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.

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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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Multi-Enterprise Data Quality Framework

Establishing a single source of truth in multi-enterprise business networks (MEBN) such as supply chains and healthcare ecosystems is very challenging due to the diverse and complex business and technological processes. We are using mathematical and AI methods to dynamically assess and predict the quality of MEBN data elements and the reliability of data providers based on the values and insights received from multiple sources over time.