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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.
This course is extremely fast paced and for students that have already had UNIX or Linux training, or have not worked with Linux in several months or years. This is NOT a course for students new to Linux and assumes the student requires a refresher before progressing through high end security courses that require dexterity on Linux. RedHat and Ubuntu, VMware Virtual Machines, and BackTrack are used for the instruction of this course. The student will acquire the skills to easily navigate the advanced VMware training environment and will be able to create scripts to manipulate and manage Linux. The ulimate goals of the skills of this course is to provide the student the ability to automate through scripting BackTrack tools for offensive security, forensics, and defense.
Attendees to L-395: Accelerated Linux Administration and Utilities will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Duration: 5 days
Course Objectives:
Day 1 and 2: Unix Review and Unix Utilities
Linux File System Archictecure and In-Depth discussion of Hard and Soft Links
Linux File, Directory, and Permissions Management
Linux archives using tar and zip
Interacting with BASH
Review of Common Linux commands
Sorting files by line or field
Regular Expressions (meta character) with grep commands to locate specific lines in files
Grep, egrep extended metacharacters, combinations-lab advanced combinations- lab Sed
Performing non-interactive editing tasks with the sed command
Writing simple sed scripts to perform complex editing tasks
Using awk variables & arrays to sort data
Employing awk programs to manipulate numeric & textual data
Performing formatted printing in awk
Writing simple awk programs to write reports from data files
Using built-in awk functions & defining new functions
Write awk programs that make decisions based on numeric or string comparisons (branches & loops)
Day 3 – Intro to Programming / Shell Scripting
Shell Review
Shell Interpretation of Quotes & Backslash
The Bash Shell
Shell's combined with UNIX utilities
Programming Basics
Data Constructs
Programming Looping
Your Environment
More on Parameters
Day 4 and 5 – Security Fundamentals, Linux Administration
System Configuration / Kernel overview
System Maintenance / Disk and file admin
Using utilities for process control, locating files & automating maintenance tasks
System Startup / Boot Process – LILO & GRUB Configuration
Managing the Linux file system
Customization of setup files
Run Levels
Network Services / Configuration
User Management Monitoring, accessing & restricting root system access
Administration Tools
Process Control
Client side components of NFS, Samba, NTP, NIS
Server side components such as DHCP, Samba, NIS, LDAP, inet, telnet, ftp, DNS, etc.
Prerequisites:
Prior UNIX/Linux experience or training
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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
This course engages students by providing in-depth knowledge of the most prominent and powerful attack vectors and an environment to perform these attacks in numerous hands-on scenarios. This course goes far beyond simple scanning for low-hanging fruit, and shows penetration testers how to model the abilities of an advanced attacker to find significant flaws in a target environment and demonstrate the business risk associated with these flaws.
Attendees to TN-919:Penetration Tester course will receive TechNow approved course materials and expert instruction.