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:

TN-542: Establishing a Security Operations Center (SOC) People, Processes, and Technologies is the big picture overview of a SOC, other courses provide a deep dive into the technologies that a SOC may utilize. This course addresses the internal workings of staff, skills required, required authorizations, internal agreements, and setting appropriate expectation levels of a SOC within budget constraints. A SOC is not a one size fits all, the instructor has decades of security experience and brings to the table opportunities to discuss what can work within constraints. Many organizations are coming to the realization that some level of a SOC is now required and to learn just what decisions need to be made: Out-sourced, In-sourced, budgets, capabilities and many more. Students leave with a worksheet of how to progress when they get back to their organization.

TN-542: Establishing a Security Operations Center (SOC) People, Processes, and Technologies – Is a course that incorporates lecture, demos, and group exercises for standing up a Security Operations Center (SOC). Students learn strategies and resources required to deploy, build, and run Network Security Monitoring (NSM) and work roles and flows for a SOC. No network is bullet proof and when attackers access your network, this course will show you options and resources to build a security net to detect, contain, and control the attacker. Examples on what it takes to architect an NSM solution to identify sophisticated attackers and a response strategy. Properly implemented detection and response technologies is integral to incident response and provides the responders timely information and tools to react to the incident. Effective demonstrations are given of Open Source technologies that build up a SOC, but any software can be used and demonstrations are provided to demonstrate technology families not push a specific solution.

TN-542: Establishing a Security Operations Center (SOC) People, Processes, and Technologies demonstrations utilize a cyber range that gives each student in-depth knowledge of monitoring live systems to include: Cisco, Windows, Linux, IoT, and Firewalls; and software and services to provide orchestrate Incident Response, Intelligence Analysis, and Hunt Operations.

Attendees to TN-542: Establishing a Security Operations Center (SOC) People, Processes, and Technologies class will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 2 Days

Course Objective:

    • To provide management an overview of what it takes to stand up a SOC.

Prerequisites:

  • Students should have an understanding of the security field.

Course Outline:

  • What threats does my organization care about?
  • What does a threat look like?
  • What does a threat look like?
  • How to present the SOC internally.
  • Communication with Stakeholders and Executives
  • Leveraging and integrating existing security measures
  • People
    • Establishing a skill matrix and work roles for SOC members
    • Establishing a training path
    • Personnel background requirementsProcesses
  • Processes
    • Alignment to standards: NIST, PCI, HIPAA, etc.
    • Risk related decision trees
    • Playbooks
    • Threat Intelligence Integration
  • Technology – Tool Suites to Support:
    • Ethical Hacking
    • Network Security Monitoring and SIEM
    • Forensics
    • Dashboards
    • Analysis and Hunting
    • Incident Management and Ticketing

 

Comments

Latest comments from students


 

Liked the class?  Then let everyone know!

Course Overview:

This course, TN-385: TCP/IP Analysis & Implementation, provides students with a comprehensive technical introduction to TCP/IP & the interworkings of TCP/IP application to UNIX, Linux and Windows in a network environment.  This course begins by providing a comprehensive protocol stack analysis.  It continues with extensive hands-on exercises needed to configure TCP/IP on UNIX and Windows based networks.

Attendees to TN-385: TCP/IP Analysis & Implementation will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • A thorough comprehension of each level of the protocol stack
  • Configuring UNIX & Windows to access internetworks
  • Configuring & setting up a Cisco router
  • Properly implementing subnets to avoid ongoing maintenance headaches
  • Routing & routing protocols, RIP, OSPF, and IGRP
  • How to troubleshoot a wide range of routing problems
  • All major TCP/IP application services including: FTP, TELNET, SNMP, NFS, DNS, DHCP, & WINS
  • How to avoid common internetworking problems
  • How to troubleshoot TCP/IP networks using protocol analysis techniques – snoop on Sun Workstation & Network Monitor on Windows.
  • How to design, build, configure, & manage TCP/IP internetworks
  • Applying a structured methodology for troubleshooting TCP/IP internetworks
  • ACL's on Cisco routers

Prerequisites:

  • Students should have good end-user skills in TCP/IP (FTP, TELNET, RLOGON,  & MAIL).

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)