Course Overview:

A rigorous Pen Testing program that, unlike contemporary Pen Testing courses, teaches you how to perform an effective penetration test across filtered networks. The course requires you to Pen Test IoT systems, OT systems, builds on your ability to write your own exploits, build your own tools, conduct advanced binaries exploitation, double pivot to access hidden networks, and various technologies.

What’s Included:

    • EC-Council official E-Courseware
    • EC-Council official Certificate of Attendance
    • EC-Council iLabs with access for 6 months
    • EC-Council CPENT Range access
    • CEH Exam Voucher

     

    Dates/Locations:

    No Events

    Duration: 5 days

    Course Content:

      • Module 01. Introduction to Penetration Testing
      • Module 02. Penetration Testing Scoping and Engagement
      • Module 03. Open Source Intelligence (OSINT)
      • Module 04. Social Engineering Penetration Testing
      • Module 05. Network Penetration Testing – External
      • Module 06. Network Penetration Testing – Internal
      • Module 07. Network Penetration Testing – Perimeter Devices
      • Module 08. Web Application Penetration Testing
      • Module 09. Wireless Penetration Testing
      • Module 10. IoT Penetration Testing
      • Module 11. OT/SCADA Penetration Testing
      • Module 12. Cloud Penetration Testing
      • Module 13. Binary Analysis and Exploitation
      • Module 14. Report Writing and Post Testing Actions

     

    Prerequisites:

        • Pass the CEH exam
        • Pass the CND exam

    Target Audience:

    Penetration Testers, Ethical Hackers, Information Security Consultants/ Testers/ Analysts/ Engineers, Network Server Administrators, Firewall & System Administrators, Risk Assessment Professionals

     

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Course Overview:

This course will be fast paced with in-depth and live demonstrations.

Date/Locations:

No Events

Duration: 1 day

Course Objectives:

  • UEFI, SecureBoot, TPM, and Enterprise BitLocker
  • Windows VPN in the Enterprise
  • Windows Advanced Firewall
  • Utilizing Windows WMI
  • Administering Windows with Powershell
  • Using Autopsy for Forensics

Prerequisites:

 

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Look through our course offerings, and feel free to call us at 800-324-2294.

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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.