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

TN-812: Information Systems Security Engineering Professional (ISSEP)

Course Overview:

This concentration was developed in conjunction with the U.S. National Security Agency (NSA) providing an invaluable tool for any systems security engineering professional. CISSP®-ISSEP is the guide for incorporating security into projects, applications, business processes, and all information systems. Security professionals are hungry for workable methodologies and best practices that can be used to integrate security into all facets of business operations. The SSE model taught in the IATF portion of the course is a guiding light in the field of information security and the incorporation of security into all information systems.

Attendees to TN-812: Information Systems Secuirty Engineering Professional (ISSEP) will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

Systems Security Engineering
Certification and Accreditation
Technical Management
U.S. Government Information Assurance Governance

Prerequisites:

CISSP

Comments

Latest comments from students

User: fsarisen

Instructor comments: Thank you Tim for all the great information! I am confident that I'll do well on the ICND exam.

User: storoy30

Instructor comments: The instructor, Tim Burkard, was very knowledgeable on the course material and skilled at explain more complex ideas.

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VM-345: VMware Infrastructure Security: VMware Install, Configure, and Manage with Security Objectives

Course Overview:

This course explores the VMware Infrastructure and related security, which consists of VMware ESX Server & VMware Virtual Center Server. We will look at both the design environments and operational processes of the VMware Infrastructure including security. This course provides IT architects with the insight needed to tackle tough issues in server virtualization such as virtual machine technologies, storage infrastructure, and designing clustered environments with security practices included. Extensive hands-on labs provide for a rich student experience.

Hypervisors and their supporting environment require attention to security due to the aggregated risk of hosting multiple virtual servers. This course explores the security of virtualized environments. Student configure ESXi by learning to manage the security and risk between ESXi, virtual servers and security integration of ESXi to the physical network infrastructure including appropriate segregation from other sensitive networks and management networks. How to configure virtual networks when some hosts are dual or multi homed, but internally segregate between the two or more connected networks with different security levels. Appropriate integration of zero-clients and thin clients. Configuration of defensive measures on hosts, servers, hypervisors within the virtual environment and practices for those guarding it externally. Integration of Active Directory and other AAA/CIA related services relative to a virtualized environment.

Students are also walked through DoD ESXi Security Technical Implementation Guide (STIG). Introduction to the impact of Intel Trusted Execution Technology integrated with ESXi to create a trusted platform for virtual machines. Additionally the instructor walks the students through NIST Special Publication 800-125A: Security Recommendations for Hypervisor Deployment on Servers, and NIST Special Publication 800-125B: Secure Virtual Network Configuration for Virtual Machine (VM) Protection.

Attendees to “VM-345: VMware Infrastructure Security: VMware Install, Configure, and Manage with Security Objectives” will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

• Virtual Infrastructure Overview
• ESX and ESXi Server Installation
• Configuration of Networking, Scalability and Security
• Storage
• Install and Configure vCenter Server and Components
• Creation, Deployment, Management, and Migration of Virtual Machines
• Utilize vCenter Server for Resource Management
• Utilize vCenter Server for Virtual Machine Access Control and User Managment
• Use vCenter Server to increase scalability
• Monitoring Your Environment
• Data & Availability Protection Troubleshooting
• Use VMware vCenter Update Manager to apply ESXi patches
• Use vCenter Server to manage vMotion, HA, DRS and data protection.

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