What's Next in Hybrid Cloud is agility, secured
What’s Next in Hybrid Cloud is agility, secured
Enterprises are forever working to strike a balance between moving faster and mitigating risk.
This is a false choice. We’re driving open standards and open-source code to build a seamless hybrid cloud platform, weaving security, compliance, and reliability directly into the fabric of your hybrid cloud.
We must increasing agility while reducing risk through innovations across the stack.
Enterprises are forever working to strike a balance between moving faster and mitigating risk.
This is a false choice. We’re driving open standards and open-source code to build a seamless hybrid cloud platform, weaving security, compliance, and reliability directly into the fabric of your hybrid cloud.
We must increasing agility while reducing risk through innovations across the entire stack.
Featured
IBM Teams with Industry Partners to Bring Energy-Efficient AI Hardware to Hybrid Cloud Environments
IBM Research is collaborating with Red Hat, one of the newest members of the IBM Research AI Hardware Center, to make IBM Digital AI Cores compatible with Red Hat OpenShift and its ecosystem.
Strategic workstreams
Seamless hybrid cloud platform
This starts by driving open standards and open source code to create a seamless hybrid cloud platform that can be deployed anywhere.
Flexible, scalable computing
This platform enables more flexible, scalable computing, unifying local environments with a virtually limitless pool of computing power and capabilities, making bits, neurons, and qubits available on-demand.
Agility through automation
We’re also making hybrid cloud adoption easier and safer, enhancing agility through automation. This means leveraging AI for code to help automate essential tasks like application modernization, vulnerability detection in code, and troubleshooting of IT reliability issues.
Security and compliance
Finally, we’re giving developers and information security officers peace of mind by designing for security and compliance across the stack, from the hardware, through the hybrid cloud platform, to the SecDevOps pipeline.
Recent news
Blog
Teleporting Memory Across Two Servers
18-Aug-2020
Blog
Confidentiality and Governance of Cloud Services
1-Apr-2020
Blog
Dataset Lifecycle Framework: data source management in Kubernetes
4-Feb-2020
Experiments
IBM Research created Fully Homomorphic Encryption (FHE), which keeps sensitive data encrypted at all times, securing the cloud for highly regulated industries.
Command Line AI (CLAI) is an open-source framework for AI-powered command line plugins. CLAI helps you navigate the command line more efficiently, removing roadblocks and finding missing dependencies.
Publications
| Date | Content | Title | Journal / Venue |
|---|---|---|---|
| Jan 2020 | Paper |
Towards a Homomorphic Machine Learning Big Data Pipeline for the Financial Services Sector |
IACR |
| June 2020 | Article |
Top Brazilian Bank Pilots Privacy Encryption Quantum Computers Can’t Break |
Medium |
| Jan 2020 | Paper |
A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS |
AAAI |
