PA-242: Palo Alto Networks Firewall Manage Cyberthreats (EDU-231)

  

 

Course Overview:  PA-242: Palo Alto Networks Firewall Manage Cyberthreats (EDU-231) Training Class is a two-day course that teaches students strategies in defense against cyberthreats.  Successful completion of this course enables administrators to better understand the threat landscape.  This is not a virtualized theoretical course.  This is hands-on, real world instruction, directly relevant to the DoD and Commercial implementations of Palo Alto Networks next-generation firewalls.

Each student is issued a physical Palo Alto firewall and a Cisco layer 3 switch at their desk.  Real hardware per student for real experience and real skill development.  TechNow provides a very comprehensive client infrastructure that includes Windows, Linux, and multiple packet sniffer agents.

The instructor for this course has been a lead in Unix kernel development to implement firewall and intrusion detection technologies.  Additionally, the instructor has taught several security appliance products and carries several SANS, ISC2, ISACA, Cisco, Unix, and Windows certifications.

Attendees to the PA-242: Palo Alto Networks Firewall Manaage Cyberthreats  (EDU-231) Training Course will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 2 days

Course Objectives:   Students attending this training course will gain an understanding of cyberthreats and their characteristics.  Students will learn how to manage cyberthreats using security policies, profiles, and signatures to protect their network against emerging threats.

Day 1

  • Mod 1: Threat Landscape
    • Advanced Persistent
    • Threats
    • Data Breaches and Tactics
    • Threat Management
    • Strategies
  • Mod 2: Integrated
    • Approach to Threat
    • Protection
    • Integrated Approach to
    • Protection
    • Next-Generation Firewall
    • Advanced Endpoint
    • Protection
  • Mod 3: Network Visibility
    • Zero Trust Model
    • SSL Decryption
    • Decryption Policy
  • Mod 4: Reducing the Attack
    • Surf
    • ection

 

Day 2

  • Mod 5: Handling Known
    • Threats
    • WildFire Analysis
    • Security Profiles
  • Mod 6: Handling Unknown
    • Traffic and Zero-Day Exploits
    • WildFire
    • Researching Threat Events
    • Identifying Unknown
    • Applications
  • Mod 7: Investigating
    • Breaches
    • Identify IOCs Using
    • App-Scope
    • Log Correlation
    • Finding Infected Host
  • Mod 8: Using Custom
    • Signatures
    • Creating Custom App-IDs
    • Threat Signatures

A

Prerequisites:

  • Students must complete the PA-213: Install, Configure, and Manage course
  • Understanding of network concepts, including routing, switching, and IP addressing
  • In-depth knowledge of port-based security and security technologies such as IPS, proxy, and content filtering

This course is in no way associated with Palo Alto Networks, Inc.

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PA-232: Palo Alto Networks Panorama Manage Multiple Firewalls (EDU-221)

  

 

Course Overview:  PA-232: Palo Alto Networks Panorama Manage Multiple Firewalls (EDU-221) Training Class is a two-day course.  Students attending this course will gain an in-depth knowledge of how to configure and manage their Palo Alto Networks Panorama Management Server.  Upon completion of this course, administrators will understand the Panorama server’s role in managing and securing their overall network.  Network professionals will learn to use Panorama’s aggregated reporting to provide them with a holistic view of a network of Palo Alto Networks next-generation firewalls.  This is not a virtualized theoretical course.  This is hands-on, real world instruction, directly relevant to the DoD and Commercial implementations of Palo Alto Networks next-generation firewalls.

Each student is issued a physical Palo Alto firewall and a Cisco layer 3 switch at their desk.  Real hardware per student for real experience and real skill development.

TechNow provides a very comprehensive client infrastructure that includes Windows, Linux, and multiple packet sniffer agents.  The instructor for this course has been a lead in Unix kernel development to implement firewall and intrusion detection technologies.  Additionally, the instructor has taught several security appliance products and carries several SANS, ISC2, ISACA, Cisco, Unix, and Windows certifications.

Attendees to the PA-232: Palo Alto Networks Panorama Manage Multiple Firewalls (EDU-221) Training Course will receive TechNow approved course materials and expert instruction.

 

Dates/Locations:

No Events

Duration: 2 days

Course Objectives:   Students attending this foundational-level training course will gain an in-depth knowledge of how to configure and manage their Palo Alto Networks Panorama Management Server.

Day 1

  • Module 0 – Introduction & Overview
  • Mod 1: Overview
    • Panorama Solution
    • Deployment Design
  • Mod 2: Initial Configuration
    • Interface Configuration
    • Setup Configurations
    • Device Deployment
    • Configuration Management
  • Mod 3: Templates
    • Templates Overview
    • Common Organization
    • Strategies
    • Configuring Templates
  • Mod 4: Device Groups
    • Device Groups
    • Objects
    • Policies
    • Device Group Commit

 

Day 2

  • Mod 5: Administration
    • Admin Roles and Access
    • Control
    • Commit Procedure
  • Mod 6: Logging and
    • Reporting
    • Logging
    • Application Command
    • Center
    • App-Scope
    • Correlation Objects
    • Reports
  • Mod 7: Log Collectors
    • Plan a Log Collection
    • Deployment
    • Distributed Data Collection
    • Log Deployment
    • Configure Dedicated Log
    • Collector
    • Managed Collector Groups
  • Mod 8: Business Continuity
    • Panorama High Availability
    • Collector Group
    • Redundancy
    • Export Configuration
    • Disk Installation

 

Prerequisites:

This course is in no way associated with Palo Alto Networks, Inc.

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TN-865: Wireshark Network Traffic and Security Analysis

Course Overview:

This course delivers the technical knowledge, insight, and hands-on training to receive in-depth knowledge on Wireshark® and TCP/IP communications analysis. You will learn to use Wireshark to identify the most common causes of performance problems in TCP/IP communications. You will learn about the underlying theory of TCP/IP and the most used application protocols, so that you can intelligently examine network traffic for performance issues or possible Indicators of Compromise (IoC).

Duration: 5 Days

Audience:

Anyone interested in learning to troubleshoot and optimize TCP/IP networks and analyze network traffic with Wireshark, especially network engineers, information technology specialists, and security analysts.

Course Prerequisites:

We recommend that attendees of this course have the following prerequisite:
• Network+

Dates/Locations:

No Events

Course Outline:

DAY ONE

Course Set Up and Analyzer Testing

Network Analysis Overview
Wireshark Functionality Overview
Capturing Wired and Wireless Traffic
Define Global and Personal Preferences for Faster Analysis
Defined Time Values and Interpret Summaries
Interpret Basic Trace File Statistics to Identify Trends
Create and Apply Display Filters for Efficient Analysis

DAY TWO

Follow Streams and Reassemble Data
Use Wireshark’s Expert System to Identify Anomalies
TCP/IP Analysis Overview
Analyze Common TCP/IP Traffic Patterns

DAY THREE

Graph I/O Rates and TCP Trends
802.11 (WLAN) Analysis Fundamentals
Voice over IP (VoIP) Analysis Fundamentals
Network Forensics Fundamentals

DAY FOUR

Detect Scanning and Discovery Processes
Analyze Suspect Traffic

DAY FIVE

Use Command‐Line Tools

Next/Related Courses:

 

 

RH-245: Linux System Administration I

Course Overview:

The System Administration I for Red Hat course is designed for IT professionals working to become full-time enterprise Linux system administrators. This course gives the student direct experience with the most essential system administration tasks in the Red Hat. You will be instructed in crucial system management skills including: configuring network interfaces, client set up of network protocols, managing local disk devices, installation, package management, performing system boot procedures, grub and controlling system processes.

Attendees to RH-245: Linux System Administration I will receive TechNow approved course materials and expert instruction.

Dates/Locations:

Date/Time Event
06/01/2026 - 06/05/2026
08:00 -16:00 		RH-245: Linux System Administration I
TechNow, Inc, San Antonio TX
09/14/2026 - 09/18/2026
08:00 -16:00 		RH-245: Linux System Administration I
TechNow, Inc, San Antonio TX

Duration: 5 days

Course Objectives:

  • Installation
  • Manage File Systems and Local Disk Drives
  • Perform Mounts and Unmounts
  • Perform System Boot Procedures
  • Tuning and Maintaining the Kernel
  • Control System Processes
  • Perform User Administration
  • Installing and Managing Services
  • Perform Package Administration
  • Client Setup of SSH and Printing

Prerequisites:

Comments

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User: mlspence

Instructor comments: Bill was awesome! He did a fantastic job teaching the course mater to everyone in the class. He made sure everyone was able to keep up and that they understood the material before moving on. Thanks!

Facilities comments: They were great as well

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CT-415: CompTIA SecAI+

CompTIA SecAI+ is the first certification in CompTIA’s expansion series, designed to help you secure, govern and responsibly integrate artificial intelligence into your cybersecurity operations. You’ll build the skills to defend AI systems, meet global compliance expectations and use AI to enhance threat detection, automation and innovation—so you can strengthen your expertise and help keep your organization’s systems and data secure.

SecAI+ helps you build practical AI security and automation skills on top of your existing expertise, so you can secure AI deployments, use AI‑assisted security tools with confidence, and stay ready for the next step in your cybersecurity career.

Course Objectives:

  • Apply AI concepts to strengthen your organization’s cybersecurity posture
  • Secure AI systems using advanced controls and protections to safeguard data, models, and infrastructure
  • Leverage AI technologies to automate workflows, accelerate incident response, and scale security operations
  • Navigate global GRC frameworks to ensure ethical and compliant AI adoption across industries
  • Defend against AI-driven threats like adversarial attacks, automated malware, and malicious use of generative AI
  • Integrate AI securely into DevSecOps pipelines and enterprise security strategies.

Dates/Locations:

No Events

Prerequisites: Recommended experience: 3–4 years in IT and 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent recommended

SecAI+ (V1) exam objectives summary

     Basic AI concepts related to cybersecurity (17%)

  • Explain core AI principles and terminology: Machine learning, deep learning, natural language processing, and automation.
  • Identify AI applications in security: Use cases for AI in threat detection, defense, and security operations. 
  • Recognize AI-driven threats: Automated phishing, polymorphic malware, adversarial machine learning, and malicious use of generative AI.

Securing AI systems (40%)

  • Implement security controls: Protect AI systems, data, and models using robust technical safeguards. 
  • Secure AI deployment environments: Apply best practices across on-premises, cloud, and hybrid infrastructures. 
  • Mitigate adversarial risks: Defend against attacks targeting AI models, data pipelines, and inference layers. 

AI-assisted security (24%)

  • Enhance detection and response: Use AI-driven tools to identify anomalies, detect threats, and accelerate incident remediation. 
  • Automate security workflows: Integrate AI for event triage, alert correlation, and response orchestration. 
  • Apply AI techniques in operations: Incorporate AI into threat modeling, behavior analysis, and continuous monitoring. 

AI governance, risk, and compliance (19%)

  • Understand regulatory frameworks: Identify global governance requirements and their implications for AI adoption. 
  • Integrate GRC into AI projects: Incorporate governance, risk management, and compliance practices throughout the AI lifecycle. 
  • Ensure responsible AI use: Apply ethical guidelines, legal standards, and industry frameworks such as GDPR and NIST AI RMF.