Red Hat Security and Server Hardening

OVERVIEW
Building Strategic Influence in Matrix Organizations

This course is designed to provide strategies on securing a Red Hat Enterprise Linux® system to comply with security policy requirements. The course addresses specific user authentication concerns, application of updates, system auditing and logging, file system integrity, and more. After attending this course, participants will be able to address security vulnerabilities in system configurations and installed packages. The course will provide insights on how to understand and respond to Common Vulnerabilities and Exposure (CVE) and Red Hat Security Advisory (RHSA) reports. The course equips participants with the essential skills such as deploying identity management to facilitate user account security policies and applying relevant errata to maintain system integrity.

This course is based on Red Hat Enterprise Linux 6.4.

WHAT YOU'LL LEARN
Why you shouldn't miss this course

By the end of this course, participants will have the leadership toolkit to shape and steer GenAI portfolios across their organization.

01Review errata and apply them to Red Hat Enterprise Linux
02Use special permissions and file system access control lists
03Manage users and password-ageing policy requirements
04Install and configure Red Hat Identity Management tools
05Understand system auditing

PREREQUISITES
Recommended experience

CURRICULUM
Structured for
Strategic Application
  • Understand how Red Hat Enterprise Linux produces updates
  • How to use the yum tool to perform queries to identify what errata are available
  • Develop a process for applying updates to systems, including verifying properties of the update
  • Allocate an advanced file system layout and use file system encryption
  • Adjust file system properties through security-related options and file system attributes
  • Work with a set user ID (SUID), set group ID (SGID), and sticky (SVTX) permissions and locate files with these permissions enabled
  • Configure Ceph to provide file storage for clients using the Ceph Filesystem (CephFS)
  • Configure software to monitor the files on your machine for changes
  • Set password-ageing properties for users, and audit user accounts
  • Apply changes to PAMs to enforce different types of rules on users
  • Adjust properties for various console services to enable or disable settings based on security
  • Install and configure a Red Hat identity management server and client
  • Configure Red Hat identity management rules to control both user access to client systems and additional privileges granted to users on those systems.
  • Configure remote logging to use transport layer encryption and manage additional logs generated by remote systems
  • Enable and configure system auditing
  • Manage firewall rules to limit connectivity to network services

RECOMMENDED PARTICIPANT SETUP
This course follows Cognixia's AI-first,
hands-on learning model

Access to sanitized process maps, KPI definitions, candidate initiative lists, and basic cost baselines (time, cycle time, error or rework rates)

INTERESTED IN THIS COURSE?
Let's Connect

Speak with a Cognixia specialist about enrollment options, custom cohorts for your leadership team, or tailored delivery formats for your organization.

Response within 1 business day
Available in 5 delivery formats globally
Volume pricing for teams of 10+
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One of our specialists will contact you within one business day.

WHY COGNIXIA
Why Cognixia for This Course

KEEP EXPLORING
Mapped Official Learning
Leadership
Equip enterprise leaders to drive culture, skills, policy, and operating-model change required for sustainable Generative AI adoption at scale.
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Enterprise-grade security, governance, and Responsible AI controls to protect, govern, and operate GenAI and agentic systems safely at scale.
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Build portable, enterprise-grade GenAI systems that run consistently across Databricks, AWS, and Google Vertex AI—without vendor lock-in, quality drift, or governance gaps.
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Systematic testing, evaluation, and quality engineering frameworks for validating GenAI and agentic AI systems at enterprise scale.
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Production-grade GenAIOps and LLMOps practices to deploy, monitor, evaluate, and govern enterprise-scale LLM and agentic applications with reliability and control.
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Applied
Design, build, evaluate, and operate production-grade agentic AI systems with multi-agent orchestration, tool integration, and enterprise-grade safety controls.
In-Person Workshop, Virtual Instructor-Led

READY TO SHAPE YOUR AI FUTURE?
Let's build the workforce
of the future

Enroll your leadership cohort in Designing GenAI Use-Case Portfolios & Business Cases.
Custom cohorts available for enterprise teams.