BigFix content supporting Red Hat's Extended Update Support (EUS) and Extended LifeCycle Support (ELS) patching program is available as an add-on to the BigFix Patch, BigFix Lifecycle, and BigFix Compliance products.
Setting up your environment for patch management.
HCL BigFix AEX is an enterprise Agentic AI platform designed to help organizations move from AI-assisted recommendations to Agentic AI execution. It provides a structured environment for building, deploying, and governing AI agents that can understand user intent, work with enterprise context, interact with business systems, and complete multi-step workflows. Refer to BigFix AEX for more details.
The Runbook AI (Add-on) is designed for both BigFix Runbook AI administrators and end users who are working towards the resolution of IT support tickets. Its primary purpose is to help BigFix administrators to easily monitor the health of their servers and initiate well-informed recovery actions with specialized Runbooks AI.
The Known Exploited Vulnerabilities (KEV) Content Pack is available as an add-on for BigFix. It is a collection of BigFix Fixlets that is derived from extensive research of the CISA KEV catalog, NVD, and Vendor Advisories. This KEV Content Pack provides BigFix operators with the ability to quickly identify endpoints with vulnerabilities that are high-risk and time-sensitive given that they are known to have been exploited or are actively being exploited.
The BigFix PCI DSS Add-On is a premium component that provides security configuration checklists that are based the Payment Card Industry Data Security Standard (PCI DSS). These compliance checks are designed to help ensure continuous compliance at every endpoint in your organization.
BigFix®Patch for Red Hat Enterprise Linux™ keeps your Linux clients current with the latest updates and service packs.
This topic describes how to enable BigFix EUS Patch functionality in BigFix.
You can manage Fixlets using dashboards, reports, and wizards. You can deploy, fix, and uninstall Fixlets. You can also view the breakdown of Fixlets available or needed in your deployment.
The download plug-in is an executable program that downloads relevant packages directly from the patch vendor. Fixlets use an internal protocol to communicate with the download plug-in to download files. These Fixlets are based on updates made by the vendor.
BigFix Patch provides a solution to combine the installation of updates for multiple packages in a baseline into a single task, which can reduce the execution time of the baseline.
This topic gives you a brief introduction about Red Hat Enterprise Linux (RHEL) Patch Add-Ons.
Learn the answers to frequently asked questions about BigFix EUS/ELS Patch Add-Ons for Red Hat Enterprise Linux 5, 6, 7 and 8.
The Service Graph Connector is available as an add-on for integrating BigFix Inventory with your CMDB. The connector is designed to support common use cases and requires additional customizations to meet your specific business process requirements. Successful implementation of the connector requires thorough assessment and due diligence, and could involve modifications to input fields or the implementation of specialized reconciliation processes to align with your internal workflows.
BigFix content supporting the Extended Support Updates (ESU) patching program from Microsoft® is available as an add-on to BigFix Patch, BigFix Lifecycle and BigFix Compliance.
The BigFix Quantum Risk Analyzer (QRA) is an add-on that discovers and assesses the cryptographic posture of your managed endpoints, so you can find quantum-vulnerable systems, prioritize remediation, and demonstrate compliance from the BigFix Console.
This topic provides an overview of BigFix Patch Workbench, an automated solution that streamlines patch deployment, reduces tool fragmentation, integrates with ServiceNow, and enhances compliance and productivity across ITSM processes.
Below is a comprehensive list of links to the Add-ons user guides available in PDF format, designed to assist users in navigating and utilizing the software effectively:
