PA-222: Palo Alto Networks Panorama Essentials

  

Course Overview:

PA-222: Palo Alto Networks Panorama Essentials Training Class is a two-day course that teaches students to configure and manage the Palo Alto Networks Panorama management server. Through hands-on training, students learn high end skills of how to integrate Palo Alto Networks next-generation firewalls into their network infrastructure and manage them with Palo Alto Networks Panorama management server.This is not a virtualized theoretical course.  This is hands-on, real world in the classroom instructor led with lab assistance, directly relevant to the DoD and Commercial implementations of Palo Alto Networks next-generation firewalls and their enterprise management.

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, Cisco, Unix, and Windows certifications.

Attendees to the Palo Alto Networks Panorama Essentials 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, including hands-on experience in configuring the security, networking, threat prevention, logging, and reporting features of the Palo Alto Networks Operating System (PAN-OS) through Panorama.

  • Day 1
    • Module 0 – Introduction & Overview
    • Module 1 – Deployment Overview
      • Panorama Solution
      • Functional Overview
      • Architecture Design
    • Module 2 – Interface Configuration
      • Installation
      • Design and Planning
      • Administration Roles
      • Access Control
      • Commit Options
    • Module 3 – Device Groups
      • Device Groups
      • Policies
      • Objects
      • Device Group Commits
    • Module 4 – Templates
      • Template Overview
      • Configure Templates
      • Commits
      • Overrides Commits
  • Day 2
    • Module 5 – Administrative Tools
      • Logging
      • Reporting
      • Managing Devices
    • Module 6 – Log Collection
      • Log Collector
      • Collector Groups
      • Distributed Data Collection
      • Installation and Configuration
    • Module 7 – Deployment Recommendation
      • High Availability
      • Export Configuration
      • Tips and Tricks
      • Best Practices

Prerequisites:

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

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TN-515: Implementing Cybersecurity and Information Assurance Methodologies

  

Course Overview: 

Learn to protect yourself and your company against hackers, by learning their tools and techniques, and then testing your network.  This course is heavily based on Kali and primarily on Metasploit.  In TN-515: Implementing Cybersecurity and Information Assurance Methodologies class you will learn the step by step process that hackers use to assess your enterprise network, probe it & hack into it, utilizing a mixed-platform target environment including Windows, Linux, Solaris, and Cisco.  This course is 90% hacking, but  defenses for demonstrated hacks will be discussed.  If you want to know the ins and outs of the hacks presented in this course, then this is the course for you.

Attendees to TN-515: Implementing Cybersecurity and Information Assurance Methodologies Class Attendees will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Introduction to Pen Testing using the PTES model
  • Metasploit Basics
    • MSFconsole, MSFcli, Armitage, MSFpayload, MSFencode, NasmShell
  • Intelligence Gathering
    • Nmap, Databases in Metasploit, Port Scanning with Metasploit
  • Quick Intro to Ruby
    • Writing a simple Ruby script to create a custom scanner
  • Vulnerability Scanning
    • Importing Nessus Results
    • Scanning with Nessus from Within Metasploit
  • Exploitation
    • Using the Metasploit Framework and console to exploit
  • Meterpreter
    • Compromising a Windows System
    • Attacking MS SQL, xp_cmdshell
    • Dumping Usernames and Passwords, extracting and dumping hashes
    • Pass the Hash and Token Impersonation
    • Pivoting
    • Railgun
    • Using Meterpreter Scripts: Migrating a process, Killing AV, Persistence
  • Avoiding Detection
    • Creating Stand-Alone Binaries with MSFpayload
    • Encoding with MSFencode and Packers (go Green Bay:)
  • Exploitation Using Client Side Attacks
    • Introduction to Immunity Debugger
    • Using Immunity Debugger to Decipher NOP Shellcode
  • Metasploit Auxiliary Modules
  • Social Engineer Toolkit (SET)
    • Spear-Phishing, Web Attack
    • Creating a Multipronged Attack
  • Creating Your Own Module
    • Adapt an existing Module
    • Add some PowerShell and Run the Exploit
  • Meterpreter Scripting
  • Capture The Flag Exercise

Prerequisites:

  • This is an advanced  Cybersecurity and Information Assurance Course which requires basic Windows & UNIX competency
  • Certification or 2 years of experience in these operating systems is highly recommended
  • An understanding of TCP/IP

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N-515: Implementing Cisco Enterprise Wireless Networks (ENWLSI)

Course Overview:

The Implementing Cisco Enterprise Wireless Networks (ENWLSI) course gives you the knowledge and skills needed to create a secure wireless network infrastructure and troubleshoot any related issues. You’ll learn how to implement and fortify a wireless network infrastructure using Cisco Identity Service Engine (ISE), Cisco Prime Infrastructure (PI), and Cisco Connect Mobile Experience to monitor and troubleshoot network issues.

Attendees to N-515: Implementing Cisco Enterprise Wireless Network (ENWLSI) will receive TechNow approved course materials, expert instruction, and prepare you to take the 300-430 Implementing Cisco Enterprise Wireless Networks (ENWLSI) exam, which is part of the CCNP® Enterprise certification and the Cisco Certified Specialist – Enterprise Wireless Implementation certification.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Implement network settings to provide a secure wireless network infrastructure
  • Implement a secure wireless client and troubleshoot wireless client connectivity issues
  • Implement and troubleshoot QoS in wireless networks
  • Implement and troubleshoot advanced capabilities in wireless network services

Prerequisites:

 

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TN-335: Advanced Penetration Testing Using Open Source Tools

Course Overview:

This is an advanced course that assumes the attendee is a qualified security professional with experience using security tools and understands the concepts behind penetration testing. Courses that build up the expertise that enables a student to succeed in this course is Security+, CEH, CISSP, and any of the GIAC certifications. This course is completely hands-on and utilizes the BackTrack tool suite from backtrack-linux.org. The course covers, in detail, various attacks and tools that are contained in the BackTrack tool suite.

Attendees to TN-335: Advanced Penetration Testing Using Open Source Tools will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Information Security and Open Source Software
  • Operating System Tools
  • Firewalls
  • Scanners
  • Vulnerability Scanners
  • Network Sniffers
  • Intrusion Detection Systems
  • Analysis and Management Tools
  • Encryption Tools
  • Wireless Tools
  • Forensic Tools
  • More on Open Source Software

Prerequisites:

  • Experience in IT Security
  • Solid basic knowledge of networks and TCP/IP
  • Experience in command line under Linux and Windows is required

 

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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.