TechNow has been involved in enterprise client server architectures since 1990.  TechNow has delivered  national and international implementations for Valero, Wholefoods, Quest, USAA, Golfsmith, AMD, Motorola, and many other fortune 1000 corporations, 

TechNow's training program has followed the evolution of enterprise computing into virtualization and cloud computing. With a focus on security, TechNow can present the ramifications of many centralized strategies.  All courses utilize enterprise instructors with experience and can discuss the detail of implementation and the integration into an existing infrastructure.

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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: 

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

 

Dates/Locations:

No Events

Course Overview:

This is an advanced course that assumes the attendee is a qualified security professional with experience using security tools and understands the concepts behind penetration testing. Courses that build up the expertise that enables a student to succeed in this course is Security+, CEH, CISSP, and any of the GIAC certifications. This course is completely hands-on and utilizes the BackTrack tool suite from backtrack-linux.org. The course covers, in detail, various attacks and tools that are contained in the BackTrack tool suite.

Attendees to TN-335: Advanced Penetration Testing Using Open Source Tools will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Information Security and Open Source Software
  • Operating System Tools
  • Firewalls
  • Scanners
  • Vulnerability Scanners
  • Network Sniffers
  • Intrusion Detection Systems
  • Analysis and Management Tools
  • Encryption Tools
  • Wireless Tools
  • Forensic Tools
  • More on Open Source Software

Prerequisites:

  • Experience in IT Security
  • Solid basic knowledge of networks and TCP/IP
  • Experience in command line under Linux and Windows is required

 

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Course Overview:

Through hands-on labs, you will learn to automate system administration tasks on managed hosts with Ansible, learn how to write Ansible playbooks to standardize task execution, and manage encryption for Ansible with Ansible Vault. This course will also teach you how to deploy and use Red Hat® Ansible Tower to centrally manage existing Ansible projects, playbooks, and roles; perform basic maintenance and administration of the Ansible Tower installation; and configure users and teams and use them to control access to systems, projects, and other resources through role-based access controls. You will learn to use Ansible Tower’s visual dashboard to launch, control, and monitor Ansible jobs; use the Ansible Tower application programming interface (API) to launch jobs from existing templates; automatically schedule Ansible jobs; and dynamically update host inventories.

Course Objectives:

  • Install and troubleshoot Ansible on central nodes and managed hosts
  • Automate administration tasks with Ansible playbooks and ad hoc commands
  • Write effective Ansible playbooks
  • Protect sensitive data used by tasks with Ansible Vault.
  • Install and configure Ansible Tower for enterprise Ansible management
  • Use Ansible Tower to control access to inventories and machine credentials by users and teams
  • Create job templates in Ansible Tower to standardize playbook execution.
  • Centrally launch playbooks and monitor and review job results with Ansible Tower

 

Course Outline:

  • Introduce Ansible
  • Deploy Ansible
  • Implement playbooks
  • Manage variables and inclusions
  • Implement task control
  • Implement Jinja2 templates
  • Implement roles
  • Configure complex playbooks
  • Implement Ansible Vault
  • Troubleshoot Ansible
  • Install Ansible Tower and describe Ansible Tower’s architecture
  • Create users and teams for role-based access control
  • Create and manage inventories and credentials
  • Manage projects for provisioning with Ansible Tower
  • Construct advanced job workflows
  • Update inventories dynamically and compare inventory members
  • Maintenance and administration of Ansible Tower

 
Dates/Locations:

No Events

Duration: 5 Days

Prerequisites:

  • Become a Red Hat Certified System Administrator, or demonstrate equivalent experience

Target Audience:

This course is designed for Linux system administrators, cloud administrators, and network administrators needing to automate configuration management, application deployment, and intraservice orchestration at an enterprise scale.

 

Course Overview: 

In this course-currently the only offering in the market devoted to Group Policy training-you will learn how to reduce costs and increase efficiencies in your network. You will discover how to consolidate the administration of an enterprise IT infrastructure with Group Policy, and learn to control and manage computer systems and domain users running Windows Server and Windows clients. Create Group Policies, implement administrative and security templates, and determine best practices when deploying software packages. Walk away with the experience and tools needed to optimize your enterprise systems and networks.

Attendees to TN-5455: Managing Windows Environments with Group Policy will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Objectives:

  • Features and functions of Group Policy
  • Use Group Policy management tools to manage security policies
  • Design a Group Policy infrastructure
  • Group Policy processing architecture
  • Back up, restore, import, and copy Group Policy Objects through the Group Policy
  • Management Console
  • Use Windows PowerShell to manage Group Policy
  • Implement security using Group Policy
  • Configure the desktop environment with Group Policy
  • Configure roaming profiles and Folder Redirection
  • Assign and publish software packages
  • Implement AppLocker and software restriction policies
  • Create and deploy Administrative Templates
  • Configure Group Policy preferences

 

 

Course Prerequisites:

  • Experience with the Microsoft Windows Server 2008/12 environments and a fundamental understanding of Active Directory

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