TN-909: Windows Forensic Analysis

 

Course Overview:

Windows Forensic Analysis is a hands-on course that covers digital forensics of the Microsoft Windows operating system.  The collection and analysis of data tracking user based activity that can be used for internal purposes or legal litigation.  TechNow has the student analyze many data images for various Windows operating systems, as current as Windows 8.1, Windows 10  in an environment that uses many Cloud technologies such as  Office365, Skydrive, Sharepoint, Exchange Online, and Windows Phone.

This is not death by power point. The course is aligned with digital forensic investigators and executing hands-on labs. Lecture and labs walk the student through the knowledge required to truly understand the mechanics of Windows Forensic Analysis.

Attendees to TN-909: Windows Forensic Analysis will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Windows Operating System Components
  • Core Forensic Principles
  • Live Response and Triage-Based Acquisition Techniques
  • Windows Image Mounting and Examination
  • Memory, Pagefile, Filesystems
  • Data and Metadata
  • Profiling systems and users
  • Tracking USB and BYOD
  • Log and Registry Analysis
  • User Communications
  • Email Forensics
  • Browser Forensics
  • Reporting and  Presentation

Course Prerequisites:

  • Windows and Security Experience

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Welcome to TechNow!

Welcome to TechNow! The Leader in Information Security Training & Computer Training.

The world of information security and computer training is ever changing.  The techniques and systems continue to evolve and we must stay current and diligent.  To do this, you can count on TechNow®…the leader in cybersecurity training and computer system training.

TechNow® has been training the leaders in the computer community for many years.  We provide training for students in a number of areas.  Our cybersecurity trainings include popular courses like D0D 8140, Security , CISM, CISSP, CEH,CCNA, and more.  With over 34 years of experience, we’re able to provide you with unmatched training and certification programs.

TechNow also provides a variety of other popular trainings for the computer professional including Cisco, EC-Council, CompTIA, Unix/Linux and more.

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    TN-765: Automating Administration with Windows Powershell

     

    Course Overview:

    This course provides students with the fundamental knowledge and skills to use PowerShell for administering and automating administration of Windows servers. This course provides students the skills to identify and build the command they require to perform a specific task. In addition, students learn how to build scripts to accomplish advanced tasks such as automating repetitive tasks and generating reports. This course provides prerequisite skills supporting a broad range of Microsoft products, including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365. In keeping with that goal, this course will not focus on any one of those products, although Windows Server, which is the common platform for all of those products, will serve as the example for the techniques this course teaches.

    Attendees to TN-765: Automating Administration with Windows Powershell will receive TechNow approved course materials and expert instruction.

    Date/Locations:

    No Events

    Course Duration: 5 days

    Course Objectives:

     

    • Describe the functionality of Windows PowerShell and use it to run and find basic commands
    • Identify and run cmdlets for server administration
    • Work with Windows PowerShell pipeline
    • Describe the techniques Windows PowerShell pipeline uses
    • Use PSProviders and PSDrives to work with other forms of storage
    • Query system information by using WMI and CIM
    • Work with variables, arrays, and hash tables
    • Write basic scripts in Windows PowerShell
    • Write advanced scripts in Windows PowerShell
    • Administer remote computers
    • Use background jobs and scheduled jobs
    • Use advanced Windows PowerShell techniques

     

    Course Prerequisites:

     

    • Experience with Windows networking technologies and implementation.
    • Experience with Windows Server administration, maintenance, and troubleshooting.

     

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    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