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Red Hat Insights collaborated with Vulcan Cyber to provide a seamless integration for effective exposure management

Vulcan collaborated with Red Hat to optimize Vulcan Cyber with Red Hat Insights and provide businesses with a holistic view of exposure risk across all attack surfaces and asset types.According to Vulcan, “By harnessing Red Hat Insights’ deep visibility into host vulnerabilities, paired with the Vulcan Cyber holistic view, intelligent risk scoring and automated workflows, your teams will be empowered to resolve issues faster, enhance collaboration between security and IT teams, and ultimately reduce the risk of security breaches.”Red Hat Insights can help you better understand your secur

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FIPS 140-3 changes for PKCS #12

With the planned release of Red Hat Enterprise Linux (RHEL) 10 in 2025, the PKCS #12 (Public-Key Cryptography Standards #12) files created in FIPS mode now use Federal Information Processing Standard (FIPS) cryptography by default. In other words, PKCS #12 files allow for backup or easy transfer of keying material between RHEL systems using FIPS approved algorithms.What are PKCS #12 files?PKCS #12 is currently defined by RFC 7292 and is a format for storing and transferring private keys, certificates, and miscellaneous secrets. Typically, PKCS #12 is used for transferring private RSA, EdDSA, o

Strengthen DevSecOps with Red Hat Trusted Software Supply Chain

As organizations start deploying advanced monitoring capabilities to protect their production environment from cyber attacks, attackers are finding it increasingly difficult to break in and compromise systems. As a result, they are now leveraging alternate approaches to infiltrate systems by secretly injecting malware into the software supply chain. This illicit code allows them to turn a software component into a Trojan horse of sorts, resulting in software infected with malicious code which allows cyber criminals to open the "doors to the kingdom" from the inside.A recent report from BlackBe

Secure design principles in the age of artificial intelligence

At Red Hat, we are committed to delivering trustworthy and robust products through a comprehensive security approach that encompasses many Secure Development Lifecycle (SDLC) activities. Our approach is grounded in the foundational principles of secure system design, which were first articulated 50 years ago in 1974 by Jerome Saltzer and Michael Schroeder in their seminal work: The Protection of Information in Computer Systems.Try Red Hat Enterprise Linux AIThese principles, along with more recent advancements, such as those outlined in the CISA Secure by Design and SafeCode Fundamental Prac

Confidential Containers with IBM Secure Execution for Linux

Red Hat OpenShift sandboxed containers, built on Kata Containers, now provide the additional capability to run Confidential Containers (CoCo). Confidential Containers are containers deployed within an isolated hardware enclave protecting data and code from privileged users such as cloud or cluster administrators. The CNCF Confidential Containers project is the foundation for the OpenShift CoCo solution. You can read more about the CNCF CoCo project in this article.As part of OpenShift sandboxed containers release version 1.7.0 the support for Confidential Containers on IBM Z and LinuxONE using

Solving the Puzzle of RBAC with Red Hat Customer Portal

You've just created a Red Hat Customer Portal account to provision a Red Hat OpenShift cluster. If you're new to Red Hat Customer Portal, then you probably have a lot of questions, like what other Red Hat portals do you have access to? How do you manage your registered clusters? What exactly is an Organization Administrator? Are there other team members who need privileged access? In this blog, we address all of these questions, and more, to help you navigate the Red Hat Customer Portal and its role-based access control (RBAC) system, and how it all connects to the Red Hat Hybrid Cloud Console

Red Hat Insights provides analytics for the IBM X-Force Cloud Threat Report

IBM recently released their 2024 X-Force Cloud Threat Landscape Report.According to IBM, this report “provides a global cross-industry perspective on how threat actors are compromising cloud environments, the malicious activities they’re conducting once inside compromised networks and the impact it’s having on organizations.”Within the threat landscape report and as a part of IBM’s collaboration with Red Hat Insights, IBM X-Force analyzed and assessed data from the Red Hat Insights compliance service to understand what the most common failures are across all the policy types that are

A smarter way to manage malware with Red Hat Insights

Red Hat Insights makes it much easier to maintain and manage the security exposure of your Red Hat Enterprise Linux (RHEL) infrastructure. Included is the Insights malware detection service, a monitoring and assessment tool that scans RHEL systems for the presence of malware, utilizing signatures of known Linux malware provided in partnership with the IBM X-Force Threat Intelligence team. This gives your threat assessment and IT incident-response team important information that they can use to formulate a response tailored to your organization’s requirements. The malware detection service ha

Red Hat’s response to OpenPrinting CUPS vulnerabilities: CVE-2024-47076, CVE-2024-47175, CVE-2024-47176 and CVE-2024-47177

TL;DR: All versions of Red Hat Enterprise Linux (RHEL) are affected by CVE-2024-47076, CVE-2024-47175, CVE-2024-47176 and CVE-2024-47177, but are not vulnerable in their default configurations.Red Hat has been made aware of a group of vulnerabilities (CVE-2024-47076, CVE-2024-47175, CVE-2024-47176 and CVE-2024-47177) within OpenPrinting CUPS, an open source printing system that is prevalent in most modern Linux distributions, including RHEL. Specifically, CUPS provides tools to manage, discover and share printers for Linux distributions. By chaining this group of vulnerabilities together, an a

When LLMs day dream: Hallucinations and how to prevent them

Most general purpose large language models (LLM) are trained with a wide range of generic data on the internet. They often lack domain-specific knowledge, which makes it challenging to generate accurate or relevant responses in specialized fields. They also lack the ability to process new or technical terms, leading to misunderstandings or incorrect information.An "AI hallucination" is a term used to indicate that an AI model has produced information that's either false or misleading, but is presented as factual. This is a direct result of the model training goal of always predicting the next