A skills focus enables the student to better absorb the subject matter and perform successfully on the exam. 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 of the attacks and the effectiveness. Students then gain network experience and use sniffing to help exemplify the benefit of learning wired and wireless security configurations. The course concludes with exercising real attack strategies to demonstrate the techniques acquired throughout the course.
Attendees to TN-939: Hacker Techniques, Exploits, and Incident Handling will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Duration: 9 days
Course Objectives:
Backdoors & Trojan Horses
Buffer Overflows
Covering Tracks: Networks
Covering Tracks: Systems
Denial of Service Attacks
Exploiting Systems Using Netcat
Format String Attacks
Incident Handling Overview and Preparation
Incident Handling Phase 2: Identification
Incident Handling Phase 3: Containment
Incident Handling: Recovering and Improving Capabilities
IP Address Spoofing
Network Sniffing
Password Attacks
Reconnaissance
Rootkits
Scanning: Host Discovery
Scanning: Network and Application Vulnerability scanning and tools
Scanning: Network Devices (Firewall rules determination, fragmentation, and IDS/IPS evasion)
UNIX, Windows, Networking, and Security Experience
This is a hands-on skill course requiring comfort with command line interaction and network communications
Comments
Latest comments from students
User: m_jurrens
Instructor comments: Both instructors Mr. Askey and Mr. Hackney, were very good. the open learning environment was extremely productive and I felt we all learned far more that we ever would out of a structured rote memorization course.
User: natebonds
Instructor comments: Both Mr. Askey and Hackney were extremely knowledgeable. They were also extremely interested in helping each student learn. I was particularly impressed with the way they tailored the course to optimize our time since we weren't testing. I feel like I know much much more than I did when the class started.
Facilities comments: The facilities were fine. I would have preferred it be closer to Lackland.
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.
Intrusion Analyst is a hands-on course that covers intrusion detection in-depth. This includes concepts such as the use of Snort, network traffic analysis, and IDS signatures.
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 of packet and intrusion analysis.
Attendees to TN-979: Intrusion Analyst will receive TechNow approved course materials and expert instruction.
UNIX, Windows, Networking, and Security Experience
This is a hands-on skill course requiring comfort with command line interaction and network communications
Comments
Latest comments from students
User: Tosha
Instructor comments: Dave was an excellent instructor. He is very informative and knowledgeable in the course and the material. I have enjoyed the class and I would take another course with him as the instructor.
Facilities comments: Very nice and clean hotel.
User: buckey26
Instructor comments: Dave was one of the best instructors I have ever had for a tech course. He broke down everything to the point where you can understand it internally.
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
