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-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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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:

AIE

Dates/Locations:

No Events

VM-325: VMware View: Install, Configure and Manage

Course Overview:

This hands-on training course builds your skills in the VMware View^TM suite of products: VMware View Manager, VMware View Composer, and VMware® ThinApp^TM. Based on customer specification, this course can be based on View 4.x or 5.x, and ThinApp 4.x or 5.x releases.

Attendees to VM-325: VMware View: Install, Configure and Manage will receive TechNow approved course materials and expert instruction.

At the end of this course, you should understand the features and operations of View and be able to:

Install and configure View components
Create and manage dedicated and floating desktop pools
Deploy and manage linked-clone virtual desktops
Configure and manage desktops that run in local mode
Configure secure access to desktops through a public network
Use ThinApp to package applications

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

Module 1: Course Introduction
Module 2: Introduction to VMware View
Module 3: View Connection Server
Module 4: View Desktops
Module 5: View Client Options
Module 6: View Administratory
Module 7: Configuring and Managing Linked Clones
Module 8: Local-Mode Desktops
Module 9: Command-Line Tools and Backup Options
Module 10: Managing VMware View Security
Module 11: View Manager Performance and Scalability
Module 12: VMware® ThinApp^TM

Prerequisites:

VM-315: VMware Infrastructure: Install, Configure and Manage
Experience in Microsoft Windows Active Directory Administration
Experience with VMware vSphere^TM
Before attending the course, students must be able to perform the following tasks:
- Create a template in VMware vCenter^TM Server and deploy a virtual machine from it
- Modify a template customization file
- Open a virtual machine console in vCenter Server and access the guest operating system
- Configure Active Directory services

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TN-999: Reverse Engineering Malware Course

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

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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.