Security

AI goes anonymous during training to boost privacy protection

Our team of researchers from IBM Haifa and Dublin has developed software to help assess privacy risk of AI as well as reduce the amount of personal data in AI training. This software could be of use for fintech, healthcare, insurance, security – or any other industry relying on sensitive data for training.

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The future of crypto: IBM makes a new leap with Fully Homomorphic Encryption

IBM delivers first-of-its-kind security homomorphic encryption services offering for companies to begin experimenting with FHE.

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Leveraging AMD SEV in the IBM Hybrid Cloud

We are exploring how Virtual Machine encryption can be applied to the Red Hat OpenShift Container Platform (OCP) and to Kubernetes through the workload virtualization options provided by KubeVirt and Kata Containers.

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Adversarial Robustness Toolbox: One Year Later with v1.4

One year ago, IBM Research published the first major release of the  Adversarial Robustness Toolbox (ART) v1.0, an open-source Python library for machine learning (ML) security. ART v1.0 marked a milestone in AI Security by extending unified support of adversarial ML beyond deep learning towards conventional ML models and towards a large variety of data types […]

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IBM Differential Privacy Library: The single line of code that can protect your data

IBM published a new release of its IBM Differential Privacy Library, which boasts a suite of tools for machine learning and data analytics tasks, all with built-in privacy guarantees. It's not unlike the the differential privacy the US Census will use to keep the responses of its citizens confidential when the data is made available.

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Unleashing Cyber Reasoning Potential in The Era of AI Security

IBM Research was selected to participate in DARPA's program to investigate Transparent Computing.

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Confidentiality and Governance of Cloud Services

Your team has spent months developing, tuning and perfecting a complex deep neural network to classify important financial, medical or government data. The application has been containerized, packaged, and is finally ready to deploy as a public service on the cloud, but one thing stands in the way. How do you get assurance that your […]

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Meet the women in IBM Research securing your digital future

This is our fifth and final blog post in a series for Women’s History Month 2020 focused on women innovating the future of IBM Research. The tremendous power of digital technology also introduces risk. If it’s hacked, or falls into the wrong hands, it can be used against us. That’s why security research is indispensable. The four women we meet here represent every aspect of it, from blockchain and open source defense to erecting cloud-based fortifications around digital crown jewels.

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Parquet Modular Encryption: Developing a new open standard for big data security

To help advance data security in the cloud, IBM Research has initiated and currently leads joint work with the Apache Parquet community to address critical issues in securing confidentiality and integrity of sensitive data.

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SysFlow: Scalable System Telemetry for Improved Security Analytics

No organization is safe against cybercrime. Recent studies have shown that these crimes will cost the world well over $5 trillion a year by 2024. Cyber attackers breach corporate networks using a myriad of techniques, with application vulnerabilities corresponding to 25% of all exploitable attack vectors. More disturbing is that these attacks can go unnoticed […]

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Top Brazilian Bank Pilots Privacy Encryption Quantum Computers Can’t Break

More than 5,000 publicly disclosed data breaches and billions of personal records exposed. Hacking attacks and deliberate data exfiltration by insiders leading to leaks of sensitive financial, medical and government information. That’s only in 2019, globally — despite the data often being encrypted. But one of the top banks in Brazil wants to avoid such […]

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