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DoD 8570 Training in San Antonio, TX.

TechNow has developed a proven training program that brings the skillset to the certification process.  TechNow is a mobile testing center that can deliver D0D 8570 training and the certification in one week. Our intergrated DoD 8570 training in San Antonio, TX  incorporates hands on skills with testing objectives that produces an incredibly high pass rate.  To learn more about our DoD 8570 training program click here

DoD-8570 in San Antonio, TX
  

Course Overview: 

Learn to protect yourself and your company against hackers, by learning their tools and techniques, and then testing your network.  This course is heavily based on Kali and primarily on Metasploit.  In TN-515: Implementing Cybersecurity and Information Assurance Methodologies class you will learn the step by step process that hackers use to assess your enterprise network, probe it & hack into it, utilizing a mixed-platform target environment including Windows, Linux, Solaris, and Cisco.  This course is 90% hacking, but  defenses for demonstrated hacks will be discussed.  If you want to know the ins and outs of the hacks presented in this course, then this is the course for you.

Attendees to TN-515: Implementing Cybersecurity and Information Assurance Methodologies Class Attendees will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Introduction to Pen Testing using the PTES model
  • Metasploit Basics
    • MSFconsole, MSFcli, Armitage, MSFpayload, MSFencode, NasmShell
  • Intelligence Gathering
    • Nmap, Databases in Metasploit, Port Scanning with Metasploit
  • Quick Intro to Ruby
    • Writing a simple Ruby script to create a custom scanner
  • Vulnerability Scanning
    • Importing Nessus Results
    • Scanning with Nessus from Within Metasploit
  • Exploitation
    • Using the Metasploit Framework and console to exploit
  • Meterpreter
    • Compromising a Windows System
    • Attacking MS SQL, xp_cmdshell
    • Dumping Usernames and Passwords, extracting and dumping hashes
    • Pass the Hash and Token Impersonation
    • Pivoting
    • Railgun
    • Using Meterpreter Scripts: Migrating a process, Killing AV, Persistence
  • Avoiding Detection
    • Creating Stand-Alone Binaries with MSFpayload
    • Encoding with MSFencode and Packers (go Green Bay:)
  • Exploitation Using Client Side Attacks
    • Introduction to Immunity Debugger
    • Using Immunity Debugger to Decipher NOP Shellcode
  • Metasploit Auxiliary Modules
  • Social Engineer Toolkit (SET)
    • Spear-Phishing, Web Attack
    • Creating a Multipronged Attack
  • Creating Your Own Module
    • Adapt an existing Module
    • Add some PowerShell and Run the Exploit
  • Meterpreter Scripting
  • Capture The Flag Exercise

Prerequisites:

  • This is an advanced  Cybersecurity and Information Assurance Course which requires basic Windows & UNIX competency
  • Certification or 2 years of experience in these operating systems is highly recommended
  • An understanding of TCP/IP

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Course Overview:

The RHCSA Rapid Track Course  is designed for experienced Linux® system administrators who want to expand their technical skill sets and become accredited with the Red Hat® Certified System Administration (RHCSA) certification. To successfully navigate this course, students should have experience with the Linux command line—including the necessary skills to execute common commands, such as cp, grep, sort, mkdir, tar, mkfs, ssh, and dnf—and be familiar with accessing man pages for help. At the completion of the course, students will be adequately prepared to take the RHCSA exam (EX200) .

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Introduce Linux and the Red Hat Enterprise Linux ecosystem.
  • Run commands and view shell environments.
  • Manage, organize, and secure files.
  • Manage users, groups and user security policies.
  • Control and monitor systemd services.
  • Configure remote access using the web console and SSH.
  • Configure network interfaces and settings.
  • Manage software using DNF
  • Access security files, file systems, and networks
  • Execute shell scripting and automation techniques
  • Manage storage devices, logical volumes, and file systems
  • Manage security and system access
  • Control the boot process and system services
  • Running containers

Prerequisites:

Experience in the field system administration.

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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