Category: Red Hat Security

Post-quantum cryptography in Red Hat Enterprise Linux 10

In their article on post-quantum cryptography, Emily Fox and Simo Sorce explained how Red Hat is integrating post-quantum cryptography (PQC) into our products. PQC protects confidentiality, integrity and authenticity of communication and data against quantum computers, which will make attacks…

The road to quantum-safe cryptography in Red Hat OpenShift

To understand Red Hat OpenShift’s journey to quantum-safe cryptography, it helps to look at the current and planned post-quantum cryptography support in Red Hat Enterprise Linux (RHEL). This is because OpenShift includes Red Hat Enterprise Linux CoreOS (RHCOS), which provides…

How HashiCorp Vault and Red Hat OpenShift can work together

In hybrid and multicloud environments, proper management of sensitive data-like secrets, credentials and certificates is critical to maintaining a robust security posture across Kubernetes clusters. While Kubernetes provides a Kube-native way to manage secrets, it’s generally understood that Kubernetes secrets…

Zero trust workload identity manager now available in tech preview

Non-human identities—also known as machine or workload identities—are becoming increasingly critical as organizations adopt cloud-native ecosystems and advanced AI workflows. For workloads spanning multiple cloud platforms, adhering to zero trust principles becomes challenging as they cross identity domains. A unified…

The dual challenge: Security and compliance

Security leaders must address both internal and external risks, ranging from sophisticated cyberattacks to insider threats. At the same time, they must also adhere to an ever-growing list of regulations, including the General Data Protection Regulation (GDPR), the EU Cyber…

When bots commit: AI-generated code in open source projects

Open source software is the backbone of the modern technology landscape. Enterprises small and large, across industries, rely on open source projects to power critical applications and infrastructure. With the rise of AI-driven code generation tools, developers have a whole…

Secure AI inferencing: POC with NVIDIA NIM on CoCo with OpenShift AI

Confidential computing strengthens application security by providing isolation, encryption and attestation so data remains protected while in use. By integrating these security features with a scalable, high-performance artificial intelligence (AI) and machine learning (ML) ecosystem, organizations can adopt a defense-in-depth…