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:

Implementing Cisco IOS Network Security (IINS) is an instructor-led course. This five-day course focuses on the necessity of a comprehensive security policy and how it affects the posture of the network.  TechNow students each get a Cisco Switch, Router, and an ASA.  The in the classrom hardware hands-on component of this course is a priority.  Using instructor-led discussions, extensive hands-on lab exercises, and supplemental materials, this course allows learners to understand common security concepts, and deploy basic security techniques utilizing a variety of popular security appliances within a “real-life” network infrastructure.  TechNow is an Authorized VUE testing partner and this course concludes with the student taking the 210-260 IINS Cisco Certification Exam.

Duration: 5 days
Audience:  Cisco Network Administrators.  This course is an excellent precursor to Palo Alto Network Firewall Training
DoD 8140:  Not Mandated
Course Prerequisites:  CCNA

Course Objectives:

  • Describe common network security concepts
  • Secure routing and switching infrastructure
  • Deploy basic authentication, authorization and accounting services
  • Deploy basic firewalling services
  • Deploy basic site-to-site and remote access VPN services
  • Describe the use of more advanced security services such as intrusion protection, content security and identity management

Attendees to N-325: Implementing Cisco IOS Network Security will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Comments

Latest comments from students


Liked the class?  Then let everyone know!

Course Overview:

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.

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 the attacks and the effectiveness.

Attendees to TN-989: Advanced Penetration Testing, Exploits, and Ethical Hacking course will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Objectives:

  • Accessing the Network
  • Advanced Fuzzing Techniques
  • Advanced Stack Smashing
  • Attacking the Windows Domain – Enumeration
  • Attacking the Windows Domain – Restricted Desktops
  • Attacking the Windows Domain – The Attacks
  • Building a Metasploit Module
  • Crypto for Penetration Testers
  • Exploiting the Network
  • Fuzzing Introduction and Operation
  • Introduction to Memory and Dynamic Linux Memory
  • Introduction to Windows Exploitation
  • Manipulating the Network
  • Python and Scapy For Penetration Testers
  • Shellcode
  • Smashing the Stack
  • Windows Heap Overflow Introduction
  • Windows Overflows

Course Prerequisites:

  • GSEC or equivalent experience
  • 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: ryanv

Instructor comments: Great.

Facilities comments: N/A. Hotel.


User: sean.hollinger

Instructor comments: Instructor is technically knowledgeable as he has been on every course I've taken with TechNow.

Facilities comments: adequate


Liked the class?  Then let everyone know!

Course Overview:

This course is designed for students who intend to work with virtual private networks (VPNs) using IPSec. The course includes detailed coverage of the VPN 3000 Concentrator, a scalable remote access platform that offers encryption, high availability, and superior performance. This class is an invaluable theory and configuration guide for the VPN 3000 series of products, with its thorough coverage of concentrators, hardware clients, and software clients.

Attendees to N-315: Cisco Secure Virtual Private Networks will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Network Security & Virtual Private Network Technologies Cisco VPN 3000 Concentrator Series Hardware Overview
  • Routing on the VPN 3000
  • Configuring the Cisco VPN 3000 for Remote Access Using Pre-shared Keys
  • Configuring the Cisco VPN 3000 for Remote Access Using Digital Certificates
  • The Cisco VPN Client Firewall Feature
  • Configuring the Cisco 3002 Hardware Client for Remote Access
  • Configuring the Cisco 3002 Hardware Client for User & Unit Authentication
  • Configuring Cisco VPN Clients for Backup Server, Load Balancing & Reverse Route Injection
  • Configuring the Cisco 3000 Concentrator for IPSec over TCP & UDP
  • Configuring LAN-to-LAN VPNs on the Cisco 3000
  • Network Monitoring & Administration Troubleshooting

Prerequisites:

  • Students who attend this advanced course must have experience in configuring Cisco IOS software
  • CCNA certification
  • Basic knowledge of the Windows operations system
  • Familiarity with the networking & security terms & concepts

Comments

Latest comments from students


Liked the class?  Then let everyone know!

Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.

The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.

Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value

By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.

Course Objectives:

•MLOps Principles: Model life cycle management for scalable, production-ready AI
•Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives
•AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization
•AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions
•Change Management: Workforce enablement and stakeholder alignment
•KPI Development: AI metrics, success indicators, and executive dashboards
•AI Governance: Risk, ethics, compliance, and responsible AI principles
•Vendor Evaluation: AI platform and tool selection aligned with enterprise needs

Dates/Locations:

No Events

Prerequisites: Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed. 

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