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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Upcoming Events

  • TN-545: Certified Network Defender
    • 04/27/2026 – 05/01/2026
    • San Antonio
  • TN-715: Systems Security Certified Practitioner (SSCP)
    • 04/27/2026 – 05/01/2026
    • San Antonio
  • TN-825: Certified Information Security Manager (CISM) Seminar
    • 04/27/2026 – 05/01/2026
    • San Antonio
  • CT-225: Network+
    • 05/04/2026 – 05/08/2026
    • San Antonio
  • CT-245: Linux+
    • 05/11/2026 – 05/15/2026
    • San Antonio
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    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.

    Working with the TechNow lab for the PA-215: Palo Alto Networks Firewall Essentials FastTrack course has been nothing less than a techie's idea of fun.  When students come in we are immediatly configuring the Cisco 3750 switches for access ports, VLANS, and trunks.  We then cable the switch to the Palo Alto Networks Firewall.  Each student gets their own Palo Alto Firewall Pod of hardware and software.  What we find as fun is the VLAN environment, with an array of virtual machines hosted on an ESXi server that can really exercise the abilities of the Palo Alto Firewall.  The DMZ VLAN hosts virtual machines that support enterprise services and also potentialy vulnerable web services.  The Trust VLAN has Windows and Linux clients.  The UnTrust VLAN has Web services and a VM of Kali. The hardware Firewall is additionally connected to a Management VLAN.  All those VLANs are trunked into an ESXi server where the student also has a VM-Series Palo Alto Networks Firewall for High Availability.  

    After configuring all the trunking, VLANs, and network interfaces we learn about the firewall and configure it for the lab environment.  Using Metasploitable and Kali/Metasploit nefarious penetration attempts are executed.  Using packet captures, custom APP-ID's  and custom signatures are generated.  Custom logging and reporting are created to similate and enterprise and assist the desired Incident Response.  It is always fun in a training environment to learn all about the controls available in a product, even though specific controls may not be used in the operational environment.  In the end we have a good understanding of the Palo Alto Networks Firewall.

     

    Course Overview:

    The focus of this course is managing Red Hat OpenStack Platform using the unified command-line interface, managing instances, and maintaining an enterprise deployment of OpenStack. This course also teaches the management and customization of an enterprise deployment of OpenStack (overcloud) and how to manage compute nodes with Red Hat OpenStack Platform director (undercloud).

    Attendees to CL-345: Red Hat OpenStack Administration II will receive TechNow approved course materials and expert instruction.

    Dates/Locations:

    No Events

    Duration: 5 Days

    Prerequisites:

    This course is intended for Linux system administrators, cloud administrators, cloud operators, and infrastructure architects interested in, or responsible for, maintaining a private or hybrid cloud.

    Prerequisites for this course is Red Hat Certified System Administrator (RHCSA), or demonstrate equivalent experience.

    Attend Red Hat OpenStack Administration I: Core Operations for Cloud Operators (CL115), or demonstrate equivalent experience

    Course Outline:

    • Navigate the Red Hat OpenStack Platform architecture
    • Describe the OpenStack control plane
    • Integrate Identity Management
    • Perform image operations
    • Manage storage
    • Manage OpenStack networking
    • Manage compute resources
    • Automate could applications
    • Troubleshoot OpenStack operations
    • Comprehensive review

     

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    CCFE Core Competencies

    • Procedures and Legal Issues
    • Computer Fundamentals
    • Partitioning Schemes
    • Data Recovery
    • Windows File Systems
    • Windows Artifacts
    • Report writing (Presentation of Finding)
    • Procedures and Legal issues
    1. Knowledge of search and subjection and rules for evidence as applicable to computer forensics.
    2. Ability to explain the on-scene action taken for evidence preservation.
    3. Ability to maintain and document an environment consolidating the computer forensics.
    • Computer Fundamentals
    1. Understand BIOS
    2. Computer hardware
    3. Understanding of numbering system (Binary, hexadecimal, bits, bytes).
    4. Knowledge of sectors, clusters, files.
    5. Understanding of logical and physical files.
    6. Understanding of logical and physical drives.
    • Partitioning schemes
    1. Identification of current partitioning schemes.
    2. Understanding of primary and extended partition.
    3. Knowledge of partitioning schemes and structures and system used by it.
    4. Knowledge of GUID and its application.
    • Windows file system
    1. Understanding of concepts of files.
    2. Understanding of FAT tables, root directory, subdirectory along with how they store data.
    3. Identification, examination, analyzation of NTFS master file table.
    4. Understanding of $MFT structure and how they store data.
    5. Understanding of Standard information, Filename, and data attributes.
    • Data Recovery
    1. Ability to validate forensic hardware, software, examination procedures.
    2. Email headers understanding.
    3. Ability to generate and validate forensically sterile media.
    4. Ability to generate and validate a forensic image of media.
    5. Understand hashing and hash sets.
    6. Understand file headers.
    7. Ability to extract file metadata from common file types.
    8. Understanding of file fragmentation.
    9. Ability to extract component files from compound files.
    10. Knowledge of encrypted files and strategies for recovery.
    11. Knowledge of Internet browser artifacts.
    12. Knowledge of search strategies for examining electronic
    • Windows Artifacts
    1. Understanding the purpose and structure of component files that create the windows registry.
    2. Identify and capability to extract the relevant data from the dead registry.
    3. Understand the importance of restore points and volume shadow copy services.
    4. Knowledge of the locations of common Windows artifacts.
    5. Ability to analyze recycle bin.
    6. Ability to analyze link files.
    7. Analyzing of logs
    8. Extract and view windows logs
    9. Ability to locate, mount and examine VHD files.
    10. Understand the Windows swap and hibernation files.
    • Report Writing (Presentation of findings)
    1. Ability to conclude things strongly based on examination observations.
    2. Able to report findings using industry standard technically accurate terminologies.
    3. Ability to explain the complex things in simple and easy terms so that non-technical people can understand clearly.
    4. Be able to consider legal boundaries when undertaking a forensic examination