Course Overview:

This course is designed for professionals that are expected to do malware analysis. A skills focus enables the student to better absorb the subject matter and perform successfully 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 Reverse Engineering Malware.

Attendees to TN-999: Reverse Engineering Malware will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Toolkit and Lab Assembly
  • Malware Code and Behavioral Analysis Fundamentals
  • Malicious Static and Dynamic Code Analysis
  • Collecting/Probing System and Network Activities
  • Analysis of Malicious Document Files
  • Analyzing Protected Executables
  • Analyzing Web-Based Malware
  • DLL Construction and API Hooking
  • Common Windows Malware Characteristics in x86 Assembly
  • Unpacking Protected Malware
  • In-Depth Analysis of Malicious Browser Scripts, Flash Programs and Office
  • In-Depth Analysis of Malicious Executables
  • Windows x86 Assembly Code Concepts for Revers-Engineering Memory Forensics for Rootkit Analysis

Prerequisites:

  • Strong understanding of core systems and network concepts
  • Exposure to programming and assembly concepts
  • Comfortable with command line access

Comments

Latest comments from students



User: marcus.osullivan

Instructor comments: Good stuff. I like the beginning half where there was help from an additional instructor to facilitate fixing computer errors that inevitably popped up.

Facilities comments: The baby deer were neat! I like the resort.


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Course Overview:

C-225: C++ Object Oriented Programming is a hands-on course that provides a complete introduction to the ANSI Standard C++ programming language, focusing on quickly developing the practical skills needed to create real-world solutions.  Our hands-on labs are designed to promote retention and challenge students to apply their skills to new situations.

C++ is more than just C with classes.  It is a whole new language with a structure similar to C, but with significant differences to warrant a complete course to cover its features.

Attendees to C-225: C++ Oriented Programming will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Classes
  • Casting in C++
  • Constructors & Destructors
  • Class Methods & Data
  • Inheritance
  • Overloaded Functions
  • Virtual Functions
  • Overloaded Operators
  • Pure Virtual Functions
  • Exception Handling
  • References & Constants
  • Standard Template Library
  • New and Delete
  • STL Containers

Prerequisites:

 

Comments

Latest comments from students


User: christinehejnal

Instructor comments: The material was made clear, however I don't agree that she shouldn't have catered towards the people not taking the exam.

Facilities comments: The facilities were cold and very noisy, I found it hard to concentrate.


User: mamacker1

Instructor comments: Informative instructor. Definitely not monotone. I'd recommend it to my sister if I had one.


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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

Comments

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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: 

AIE

 

Dates/Locations:

No Events