CT-415: CompTIA SecAI+

CompTIA SecAI+ is the first certification in CompTIA’s expansion series, designed to help you secure, govern and responsibly integrate artificial intelligence into your cybersecurity operations. You’ll build the skills to defend AI systems, meet global compliance expectations and use AI to enhance threat detection, automation and innovation—so you can strengthen your expertise and help keep your organization’s systems and data secure.

SecAI+ helps you build practical AI security and automation skills on top of your existing expertise, so you can secure AI deployments, use AI‑assisted security tools with confidence, and stay ready for the next step in your cybersecurity career.

Course Objectives:

  • Apply AI concepts to strengthen your organization’s cybersecurity posture
  • Secure AI systems using advanced controls and protections to safeguard data, models, and infrastructure
  • Leverage AI technologies to automate workflows, accelerate incident response, and scale security operations
  • Navigate global GRC frameworks to ensure ethical and compliant AI adoption across industries
  • Defend against AI-driven threats like adversarial attacks, automated malware, and malicious use of generative AI
  • Integrate AI securely into DevSecOps pipelines and enterprise security strategies.

Dates/Locations:

No Events

Prerequisites: Recommended experience: 3–4 years in IT and 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent recommended

SecAI+ (V1) exam objectives summary

     Basic AI concepts related to cybersecurity (17%)

  • Explain core AI principles and terminology: Machine learning, deep learning, natural language processing, and automation.
  • Identify AI applications in security: Use cases for AI in threat detection, defense, and security operations. 
  • Recognize AI-driven threats: Automated phishing, polymorphic malware, adversarial machine learning, and malicious use of generative AI.

Securing AI systems (40%)

  • Implement security controls: Protect AI systems, data, and models using robust technical safeguards. 
  • Secure AI deployment environments: Apply best practices across on-premises, cloud, and hybrid infrastructures. 
  • Mitigate adversarial risks: Defend against attacks targeting AI models, data pipelines, and inference layers. 

AI-assisted security (24%)

  • Enhance detection and response: Use AI-driven tools to identify anomalies, detect threats, and accelerate incident remediation. 
  • Automate security workflows: Integrate AI for event triage, alert correlation, and response orchestration. 
  • Apply AI techniques in operations: Incorporate AI into threat modeling, behavior analysis, and continuous monitoring. 

AI governance, risk, and compliance (19%)

  • Understand regulatory frameworks: Identify global governance requirements and their implications for AI adoption. 
  • Integrate GRC into AI projects: Incorporate governance, risk management, and compliance practices throughout the AI lifecycle. 
  • Ensure responsible AI use: Apply ethical guidelines, legal standards, and industry frameworks such as GDPR and NIST AI RMF.

TN-919: Penetration Tester Course

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.

Attendees to TN-919:Penetration Tester course will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Objectives:

  • Advanced Hash Manipulation
  • Command Shell vs. Terminal Access
  • Enumerating Users
  • Exploitation Fundamentals
  • Injection Attacks
  • Legal Issues
  • Metasploit
  • Moving Files with Exploits
  • Obtaining and Passing Password Representations
  • Overview of Passwords
  • Penetration Testing Foundations
  • Penetration Testing Process
  • Penetration Testing via the Command Line
  • Profiling the Target
  • Reconnaissance
  • Scanning for Targets
  • Using a Proxy to Attack a Web Application
  • Vulnerability Scanning
  • Wireless Crypto and Client Attacks
  • Wireless Fundamentals

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

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Instructor comments: Very knowledgeable. Kept class focused and on task

Facilities comments: Good

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TN-905: Cyber Threat Intelligence Analysis

 

Course Overview:

TechNow has worked worldwide enterprise infrastructures for over 30 years and has developed demos and labs to exemplify the techniques required to demonstrate technologies that effectively support CTI.  This course integrates well with our courses TN-575: Open Source Network Security Monitoring and TN-865: Wireshark Network Traffic and Security Analysis .

TechNow develops Cyber Ranges and makes them available for conferences in support of annual meetings for Cyber Threat Response Teams.  Developing scenarios and reacting to them appropriately is a big part of the value in understanding the contexts required to comprehend valuable CTI.   As with many advanced TechNow security courses, there is a large hands-on ratio.  This course helps Cyber Protection Teams (CPT), Defensive Cyber Operations (DCO), and Mission Defense Teams (MDT) to collect, analyze and apply targeted cyber intelligence to defensive operations in order to proactively act on and tune response to attacks by cyber adversaries.  CPT, DCO, and MDT can take preemptive action by utilizing CTI, understanding CTI tools, techniques and procedures (TTPs) needed to generate and consume timely and relevant intelligence to improve resilience and prevention.

This course focuses on the collection, classification, and exploitation of knowledge about adversaries and their TTPs. .  MDT puts us close the mission and helps define the internal context to be analyzed against the CTI.  TechNow pushes the student to truly understand how to think about and use CTI to make a difference.

Attendees to TN-905: Cyber Threat Intelligence Analysis will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Objectives:

  • Learn to comprehend and develop complex scenarios
  • Identify and create intelligence requirements through practices such as threat modeling
  • Utilize threat modeling to drive intelligence handling and practices 
  • Breakdown tactical, operational, and strategic-level threat intelligence
  • Generate threat intelligence to detect, respond to, and defeat focused and targeted threats
  • How to collect adversary information creating better value CTI
  • How to filter and qualify external sources, mitigating low integrity intelligence
  • Create Indicators of Compromise (IOCs) in formats such as YARA, OpenIOC, and STIX
  • Move security maturity past IOCs into understanding and countering the behavioral tradecraft of threats
  • Breaking down threats mapped against their tradecraft to tweak IOCs
  • Establish structured analytical techniques to be successful in any security role
  • Learn and apply structured principles in support of CTI and how to communicate that to any security role.

Course Prerequisites:

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PA-232: Palo Alto Networks Panorama Manage Multiple Firewalls (EDU-221)

  

 

Course Overview:  PA-232: Palo Alto Networks Panorama Manage Multiple Firewalls (EDU-221) Training Class is a two-day course.  Students attending this course will gain an in-depth knowledge of how to configure and manage their Palo Alto Networks Panorama Management Server.  Upon completion of this course, administrators will understand the Panorama server’s role in managing and securing their overall network.  Network professionals will learn to use Panorama’s aggregated reporting to provide them with a holistic view of a network of Palo Alto Networks next-generation firewalls.  This is not a virtualized theoretical course.  This is hands-on, real world instruction, directly relevant to the DoD and Commercial implementations of Palo Alto Networks next-generation firewalls.

Each student is issued a physical Palo Alto firewall and a Cisco layer 3 switch at their desk.  Real hardware per student for real experience and real skill development.

TechNow provides a very comprehensive client infrastructure that includes Windows, Linux, and multiple packet sniffer agents.  The instructor for this course has been a lead in Unix kernel development to implement firewall and intrusion detection technologies.  Additionally, the instructor has taught several security appliance products and carries several SANS, ISC2, ISACA, Cisco, Unix, and Windows certifications.

Attendees to the PA-232: Palo Alto Networks Panorama Manage Multiple Firewalls (EDU-221) Training Course will receive TechNow approved course materials and expert instruction.

 

Dates/Locations:

No Events

Duration: 2 days

Course Objectives:   Students attending this foundational-level training course will gain an in-depth knowledge of how to configure and manage their Palo Alto Networks Panorama Management Server.

Day 1

  • Module 0 – Introduction & Overview
  • Mod 1: Overview
    • Panorama Solution
    • Deployment Design
  • Mod 2: Initial Configuration
    • Interface Configuration
    • Setup Configurations
    • Device Deployment
    • Configuration Management
  • Mod 3: Templates
    • Templates Overview
    • Common Organization
    • Strategies
    • Configuring Templates
  • Mod 4: Device Groups
    • Device Groups
    • Objects
    • Policies
    • Device Group Commit

 

Day 2

  • Mod 5: Administration
    • Admin Roles and Access
    • Control
    • Commit Procedure
  • Mod 6: Logging and
    • Reporting
    • Logging
    • Application Command
    • Center
    • App-Scope
    • Correlation Objects
    • Reports
  • Mod 7: Log Collectors
    • Plan a Log Collection
    • Deployment
    • Distributed Data Collection
    • Log Deployment
    • Configure Dedicated Log
    • Collector
    • Managed Collector Groups
  • Mod 8: Business Continuity
    • Panorama High Availability
    • Collector Group
    • Redundancy
    • Export Configuration
    • Disk Installation

 

Prerequisites:

This course is in no way associated with Palo Alto Networks, Inc.

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TN-413: Certified AI Program Manager (C|AIPM)

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)