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  • Cloud Security - IBM Research
    Cloud Security We’re working on building the most secure cloud infrastructure platforms Our research focuses on ensuring the integrity of everything in the stack, reducing the attack surface of cloud systems, and advancing the use of confidential computing and hardware security modules
  • Security - IBM Research
    The cloud computing revolution has brought new security challenges Confidential computing aims to protect applications and their data when running in the cloud It works by consistently keeping the application and data encrypted, and only decrypting it inside the processor using keys known to the application data owner and the processor
  • Simplifying cloud security policies with AI - IBM Research
    As enterprise applications shift to cloud-based, containerized microservices, security has become increasingly important Our team recently developed an efficient way to improve cluster security in Kubernetes by using AI and an Open Policy Agent server to build data-driven policies This protects the cluster, one of the 4Cs — cloud, cluster
  • Data and AI Security - IBM Research
    Data and AI Security As organizations move to the hybrid cloud, they must protect sensitive data and comply with regulations that allow them to take advantage of AI We’re designing systems to monitor and protect data, building trust in AI through robust evaluation, certification, and hardening against attacks
  • IBM Research - Israel | Security
    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
  • IBM boosts software supply chain security with signature-based . . .
    Hybrid cloud applications require cloud configuration integrity to meet financial and regulatory compliance Verifying cluster with Kubernetes signing Modern software assembly often largely relies on third-party packages and artifacts, including container images, package modules, software bill of materials (SBOM), and configuration files
  • The ultimate tool for data privacy: Fully homomorphic encryption
    Our most recent milestone is HE4Cloud, a Fully Homomorphic Encryption (FHE) Cloud Service [2] This platform is aimed at deploying privacy-preserving compute on the cloud In a cloud-native SaaS experience, it allows our clients to deploy their machine learning models and use encrypted data either to train them or to simply run inference requests
  • From Confidential Computing to Zero Trust, Come Along for the (Bumpy . . .
    However, security concerns with cloud computing arise from having to protect highly valuable third party intellectual properties (IPs), sensitive private user data, etc One way to address security concerns for cloud computing is to leverage Confidential Computing to significantly reduce the probability of data breaches
  • Confidential Computing - IBM Research
    The cloud computing revolution has brought new security challenges Confidential computing aims to protect applications and their data when running in the cloud It works by consistently keeping the application and data encrypted, and only decrypting it inside the processor using keys known to the application data owner and the processor Overview
  • Scott Trent - IBM Research
    As a researcher at IBM Research-Tokyo, I am engaged in cloud infrastructure, sustainability, AI, cloud security, computer language, and operating system research Although my primary interests include reliability, security, performance, and Unix operating systems topics, I enjoy investigating new fields since the knowledge and experience from one area typically improve contributions in other areas





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