TN-949: Certified Firewall Analyst Course

Course Overview:

This is a hands-on course that covers many of the concepts of securing the perimeter of an organization. This includes concepts such as intrusion detection, packet filtering, and central logging.

A skills focus enables the student to better absorb the subject matter and perform better on the job.   This is not death by power point. The course is aligned with information assurance operators and executing hands-on labs. Lecture and labs walk the student through the knowledge required to truly understand the mechanics of Firewalls.

This course is an excellent precursor to PA-215 Palo Alto Firewall Essentials FastTrack.

Attendees to TN-949: Certified Firewall Analyst Prep will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Analyzing Network and Wireless Design
  • Creating and Auditing a Rulebase
  • Firewall Assessment and Penetration Testing
  • Host-Based Detection and DLP
  • Incident Detection and Analysis
  • IOS and Router Security
  • IPv6 and ICMPv6
  • Log Collection and Analysis
  • NAT and Proxies
  • Netfilter IPtables
  • Network Access Control
  • Network-Based Intrusion Detection
  • Packet Filters and Inspection
  • Packet Fragmentation
  • Perimeter Concepts and IP Fundamentals
  • Securing Hosts and Services
  • TCP/IP Protocols
  • VPN Design and Auditing
  • VPN Implementation

Course Prerequisites:

  • GSEC or equivalent experience
  • UNIX, Windows, networking and security  experience
  • This is a hands-on skill course requiring comfort with command line interaction and network communications

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RH-355: RHCSA Rapid Track Course

Course Overview:

The RHCSA Rapid Track Course  is designed for experienced Linux® system administrators who want to expand their technical skill sets and become accredited with the Red Hat® Certified System Administration (RHCSA) certification. To successfully navigate this course, students should have experience with the Linux command line—including the necessary skills to execute common commands, such as cp, grep, sort, mkdir, tar, mkfs, ssh, and dnf—and be familiar with accessing man pages for help. At the completion of the course, students will be adequately prepared to take the RHCSA exam (EX200) .

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Introduce Linux and the Red Hat Enterprise Linux ecosystem.
  • Run commands and view shell environments.
  • Manage, organize, and secure files.
  • Manage users, groups and user security policies.
  • Control and monitor systemd services.
  • Configure remote access using the web console and SSH.
  • Configure network interfaces and settings.
  • Manage software using DNF
  • Access security files, file systems, and networks
  • Execute shell scripting and automation techniques
  • Manage storage devices, logical volumes, and file systems
  • Manage security and system access
  • Control the boot process and system services
  • Running containers

Prerequisites:

Experience in the field system administration.

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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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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.

TN-425: Certified Offensive AI Security Professional (C|OASP)

Certified Offensive AI Security Professional (COASP) validates the competencies required for practitioners who need to demonstrate offensive AI security skills, emulating adversaries, validating defenses, and leading red-team/blue-team exercises to keep AI resilient, reliable, and auditable

The Certified Offensive AI Security Professional (COASP) equips you to identify and neutralize AI-specific threats before attackers do. And Bridges security, engineering, and data science so controls exist across the full AI life cycle.

Participants will gain hands-on experience to perform end-to-end adversarial testing and deliver defensive validation evidence including the ability to simulate adversarial AI kill chains, Harden AI architectures by secure system prompts, context windows, tool integrations, RAG pipelines, and agent memory, Conducting AI security assessments aligned to MITRE ATLAS, OWASP LLM/ML Top 10, NIST AI RMF, and DoD Test & Evaluation practices , This course covers how to build SOC-ready capabilities for AI-focused detection logic, incident playbooks, and forensic procedures , & how to execute prompt injection, adversarial prompting , Assess AI supply-chain risk , Implement defensive engineering controls and Produce assurance and compliance artifacts.

By the end of the course, learners will be well-prepared to take the Certified Offensive AI Security Professional (COASP) exam and demonstrate the ability to exploit vulnerabilities in LLMs and agents, and build defense that survive real world attacks, learners will master offensive techniques that break AI before the attackers do.

 

Course Outline: 

01. Offensive AI and AI System Hacking Methodology

02. AI Reconnaissance and Attack Surface Mapping

03. AI Vulnerability Scanning and Fuzzing

04. Prompt Injection and LLM Application Attacks

05. Adversarial Machine Learning and Model Privacy Attacks

06. Data and Training Pipeline Attacks

07. Agentic AI and Model-to-Model Attacks

08. AI Infrastructure and Supply Chain Attacks

09. AI Security Testing, Evaluation, and Hardening

10. AI Incident Response and Forensics 

 

Prerequisites: 

TN-412: Artificial Intelligence Essentials (AI|E) 

 

Dates/Locations:

No Events