Program Highlights
The Certified Penetration Testing Professional (CPENT AI) is EC-Council’s advanced penetration testing program designed for cybersecurity professionals who want to move beyond basic ethical hacking and develop practical, real-world offensive security expertise. The program focuses on modern enterprise environments where Penetration Testers must assess segmented networks, IoT systems, Active Directory environments, APIs, web applications, perimeter defenses, Windows and Linux systems, and hidden network segments.
40-Hour LIVE Instructor-Led Training
EC-Council Authorized Training Partner
50+ Penetration Testing Tools Covered
Live Cyber Range-Based Learning
Practical Exam-Focused Preparation
Certified and Industry-Experienced Trainers
Career Guidance and One-on-One Mentorship
Flexible Schedule with Live Sessions
Post-Training Support and Recordings
Training Schedule
- upcoming classes
- corporate training
- 1 on 1 training
Looking for a customized training?
REQUEST A BATCHWhy Choose Our Corporate Training Solution
- Upskill your team on the latest tech
- Highly customized solutions
- Free Training Needs Analysis
- Skill-specific training delivery
- Secure your organizations inside-out
Why Choose 1-on-1 Training
- Get personalized attention
- Customized content
- Learn at your dedicated hour
- Instant clarification of doubt
- Guaranteed to run
About Course
InfosecTrain’s CPENT AI Certification Training helps learners develop practical, advanced, and job-ready penetration testing skills aligned with EC-Council’s latest CPENT AI program. This course is designed for professionals who already understand cybersecurity fundamentals and want to perform penetration testing in complex enterprise environments.
This training is focused on hands-on learning, practical tools, real-world scenarios, and exam-oriented preparation. Learners will explore modern attack surfaces, including web applications, APIs, Active Directory, IoT systems, perimeter defenses, Linux and Windows environments, and segmented networks. The program also introduces AI-driven penetration testing concepts that help improve efficiency, accuracy, and vulnerability analysis during security assessments.
Course Curriculum
- Module 01: Introduction to Penetration Testing and Methodologies
- Principles and objectives of penetration testing
- Penetration testing methodologies and frameworks
- Best practices and guidelines for penetration testing
- Role of AI in penetration testing
- Role of pen testing in compliance with laws, acts, and standards
- Key Topics Covered:
- Penetration testing process and URL parameter tampering, methodologies, MITRE ATT&CK framework, AI-driven penetration testing, characteristics of a good penetration test, AI-driven tools, compliance-driven penetration testing, and the role of AI/ML in compliance-focused testing.
- Module 02: Penetration Testing Scoping and Engagement
- Penetration testing: pre-engagement activities
- Key elements required to respond to penetration testing RFPs
- Drafting effective Rules of Engagement (ROE)
- Legal and regulatory considerations critical to penetration testing
- Resources and tools for successful penetration testing
- Strategies to effectively manage scope creep
- Key Topics Covered:
- Proposal preparation, Rules of Engagement, penetration testing contracts, rules of behavior, NDA, liability issues, engagement letter, kickoff meeting, statement of work, test plan, data use agreement, mission briefing, and scope creep management.
- Module 03: Open Source Intelligence (OSINT)
- Collect Open-Source Intelligence (OSINT) on the target’s domain name
- Collect OSINT about the target organization on the web
- Perform OSINT on target;s employees
- OSINT using automation tools
- Map the attack surface
- Labs:
- Collect OSINT on target’s domain name, web, and employees
- Collect OSINT using automation tools
- Identify and map attack surface
- Key Topics Covered:
- Domain and subdomain discovery, Whois lookup, DNS records, reverse lookup, DNS zone transfer, Google dorking, Shodan footprinting, email harvesting, people search, OSINT automation, attack surface mapping, traceroute analysis, live host discovery, port scanning, banner grabbing, and service fingerprinting.
- Module 04: Social Engineering Penetration Testing
- Social engineering penetration testing concepts
- Off-site social engineering penetration testing
- On-site social engineering penetration testing
- Document findings with countermeasure recommendations
- Labs:
- Sniff credentials using the Social-Engineer Toolkit (SET)
- Key Topics Covered:
- Social engineering penetration testing process, phishing, phone-based social engineering, AI/ML-based social engineering, on-site testing, and social engineering countermeasures.
- Module 05: Web Application Penetration Testing
- Web application footprinting and enumeration techniques
- Techniques for web vulnerability scanning
- Test for vulnerabilities in application deployment and configuration
- Techniques to assess identity management, authentication, and authorization mechanisms
- Evaluate session management security
- Evaluate input validation mechanisms
- Detect and exploit SQL injection vulnerabilities
- Techniques for identifying and testing injection vulnerabilities
- Exploit improper error handling vulnerabilities
- Identify weak cryptography vulnerabilities
- Test for business logic flaws in web applications
- Evaluate applications for client-side vulnerabilities
- Labs:
- Perform website footprinting
- Perform web vulnerability scanning using AI
- Perform various attacks on target web application
- Key Topics Covered:
- OWASP penetration testing framework, web spidering, website footprinting and mirroring, HTTP service discovery, web server banner grabbing, default credential testing, directory enumeration, web vulnerability assessment, fuzz testing, brute forcing, file extension handling, backup file testing, username enumeration, authorization attacks, insecure access control, session token sniffing, session hijacking, URL parameter tampering, CSRF/XSRF, SQL injection, LDAP injection, error handling flaws, logic flaws, and frame injection.
- Module 06: API and Java Web Token Penetration Testing
- Techniques and tools to perform API reconnaissance
- Test APIs for authentication and authorization vulnerabilities
- Evaluate the security of JSON web tokens (JWT)
- Test APIs for input validation and injection vulnerabilities
- Test APIs for security misconfiguration vulnerabilities
- Test APIs for rate limiting and denial of service (DoS) attacks
- Test APIs for security of GraphQL implementations
- Test APIs for business logic flaws and session management
- Labs:
- Perform API reconnaissance using AI
- Scan and identify vulnerabilities in APIs
- Exploit various vulnerabilities to gather information on the target application
- Key Topics Covered:
- API reconnaissance, broken authentication, Broken Object Level Authorization (BOLA), JWT issues, SQL injection in APIs, XSS in APIs, API input fuzzing, API vulnerability scanning, unsafe API consumption, throttling and rate-limiting attacks, GraphQL issues, workflow circumvention, and API session hijacking.
- Module 07: Perimeter Defense Evasion Techniques
- Evaluating firewall security implementations
- Evaluating IDS security implementations
- Evaluating router security
- Evaluating switch security
- Labs:
- Identify and bypass a firewall
- Evade perimeter defenses using SET
- Perform WAF fingerprinting
- Key Topics Covered:
- Firewall testing, firewall discovery, firewall ACL enumeration, firewall vulnerability scanning, firewall bypass, IDS penetration testing, IDS evasion techniques, router testing, router port scanning, router misconfiguration testing, switch security misconfiguration testing, OSPF testing, and router/switch security auditing tools.
- Module 08: Windows Exploitation and Privilege Escalation
- Windows penetration testing methodology
- Reconnaissance on Windows targets
- Vulnerability assessment and exploit verification
- Methods to gain initial access to Windows systems
- Enumeration with user privileges
- Privilege escalation techniques
- Post-exploitation activities
- Labs:
- Exploit Windows OS vulnerabilities
- Exploit and escalate privileges on a Windows operating system
- Gain access to a remote system
- Exploit buffer overflow vulnerability on a Windows machine
- Key Topics Covered:
- Windows reconnaissance, vulnerability scanning, AI-assisted exploit suggestions, password cracking, remote shell access, buffer overflow exploitation, Meterpreter post-exploitation, privilege escalation, UAC bypass, antivirus evasion, disabling Windows Defender, boot-time backdoors, and AV detection evasion.
- Module 09: Active Directory Penetration Testing
- Active Directory architecture and components
- Active Directory reconnaissance
- Active Directory enumeration
- Exploiting identified AD vulnerabilities
- Role of Artificial Intelligence in AD penetration testing strategies
- Labs:
- Explore the Active Directory environment
- Perform Active Directory enumeration
- Perform horizontal privilege escalation and lateral movement
- Retrieve cached Active Directory credentials
- Key Topics Covered:
- Active Directory components, AD reconnaissance, AD enumeration, AD enumeration tools, Active Directory Service Interfaces (ADSI), password spraying, AD CS, Exchange Server enumeration, Exchange Server exploitation, password hash extraction, NTLM hash cracking, AD exploitation, and AI-assisted AD enumeration.d cracking, remote shell access, buffer overflow exploitation, Meterpreter post-exploitation, privilege escalation, UAC bypass, antivirus evasion, disabling Windows Defender, boot-time backdoors, and AV detection evasion.
- Module 10: Linux Exploitation and Privilege Escalation
- Linux exploitation and penetration testing methodologies
- Linux reconnaissance and vulnerability scanning
- Techniques to gain initial access to Linux systems
- Linux privilege escalation techniques
- Labs:
- Perform reconnaissance and vulnerability assessment on Linux
- Gain access and perform enumeration
- Identify misconfigurations for privilege escalation
- Key Topics Covered:
- Linux reconnaissance, vulnerability scanning, gaining initial access, privilege escalation methods, post-exploitation, persistence techniques, password attacks, misconfiguration exploitation, enumeration tools, file permission issues, kernel exploits, sudo misconfigurations, cron job abuse, and SUID binary exploitation.
- Module 11: Reverse Engineering, Fuzzing, and Binary Exploitation
- Concepts and methodology for analyzing Linux binaries
- Methodologies for examining Windows binaries
- Buffer overflow attacks and exploitation methods
- Concepts, methodologies, and tools for application fuzzing
- Labs:
- Perform binary analysis
- Explore binary analysis methodology
- Write exploit code
- Reverse engineer a binary
- Identify and debug stack buffer overflows
- Fuzz an application
- Key Topics Covered:
- Machine instructions, 32-bit assembly, ELF binaries, IA-32 instructions for pentesting, binary analysis methodology, static analysis, dynamic analysis, Capstone framework, x86 C programs, buffer overflow, heap overflow, memory corruption exploits, cross-compilation, fuzzing steps, fuzzer types, debugging, fuzzing tools, and building a fuzzer.
- Module 12: Lateral Movement and Pivoting
- Advanced lateral movement techniques
- Advanced pivoting and tunneling techniques to maintain access
- Labs:
- Perform pivoting
- Perform DNS tunneling
- Perform HTTP tunneling
- Key Topics Covered:
- Lateral movement, Pass-the-Hash, Pass-the-Ticket, Kerberos attacks, Silver Ticket, Golden Ticket, Kerberoasting, PsExec with Metasploit, Windows Remote Management (WinRM), RDP cracking, pivoting tools, HTTP tunneling, DNS tunneling, ICMP tunneling, SSH tunneling, and port forwarding.
- Module 13: IoT Penetration Testing
- Fundamental concepts of IoT penetration testing
- Information gathering and attack surface mapping
- IoT device firmware analysis
- In-depth analysis of IoT software
- Assessing IoT networks and protocol security
- Post-exploitation strategies and persistence techniques
- Comprehensive IoT penetration testing reports
- Labs:
- Perform IoT firmware acquisition
- Extract, analyze, and emulate IoT firmware
- Probe IoT devices
- Key Topics Covered:
- IoT penetration testing, OWASP Top 10 IoT threats and attack surface areas, IoT penetration testing methodology, IoT device identification, firmware analysis, firmware extraction, reverse engineering firmware, static and dynamic binary analysis, IoT software analysis, IoT network and protocol testing, traffic analysis between devices/gateways/servers, IoT privilege escalation, IoT lateral movement, and IoT report writing.
- Module 14: Report Writing and Post-Testing Actions
- Purpose and structure of a penetration testing report
- Essential components of a penetration testing report
- Phases of penetration testing report writing
- Skills to deliver a penetration testing report effectively
- Post-testing actions for organizations
- Labs:
- Generate penetration test reports
- Key Topics Covered:
- Characteristics of a good pentesting report, report components, report development phases, draft report writing, report writing tools, report delivery, report retention, report destruction, sign-off documentation, backup planning, training, retesting, and validation.
- Additional Self-Study Areas
- Penetration Testing Essential Concepts
- Mastering the Metasploit Framework
- PowerShell Scripting
- Bash Scripting
- Python Scripting
- Perl Scripting
- Ruby Scripting
- Wireless Penetration Testing
- OT and SCADA Penetration Testing
- Cloud Penetration Testing
- Database Penetration Testing
- Mobile Device Penetration Testing
Target Audience
This course is ideal for
- Ethical Hackers
- Penetration Testers
- Red Team Professionals
- VAPT Analysts and Engineers
- Security Testers
- Application Security Professionals
- Network Server Administrators
- Firewall Administrators
- System Administrators
- Security Consultants
- Cybersecurity Engineers
- Risk Assessment Professionals
- Professionals preparing for advanced offensive security roles
Pre-requisites
Learners should have:
- Basic understanding of cybersecurity concepts, tools, and techniques
- Knowledge of networking, operating systems, and security fundamentals
- Familiarity with ethical hacking concepts and penetration testing basics
- Practical exposure to Linux, Windows, and common security tools is recommended
- CEH or equivalent knowledge is helpful but not mandatory for training
Exam Details
| Certification Name | Certified Penetration Testing Professional |
| Exam Code | CPENT / 312-39 |
| Exam Format | 100% Practical, Performance-Based Exam |
| Passing Criteria | Score between the required cut score and 89% to earn the CPENT certification Score 90% or above to earn CPENT + LPT (Master) |
| Exam Duration | 24 Hours, or Two Sessions of 12 Hours Each |
| Exam Language | English |
| Availability | Online, remotely proctored |
Course Objectives
After completing CPENT AI training, you will be able to:
- Understand end-to-end penetration testing methodology
- Scope penetration testing engagements and define rules of engagement
- Perform OSINT, reconnaissance, scanning, and enumeration
- Use AI-enabled methods to improve penetration testing efficiency and accuracy
- Test web applications, APIs, JWT implementations, and authentication mechanisms
- Bypass perimeter defenses such as firewalls, IDS, and WAFs
- Exploit Windows, Linux, and Active Directory environments
- Perform privilege escalation, lateral movement, pivoting, and tunneling
- Conduct IoT penetration testing and firmware analysis
- Write exploits, perform fuzzing, and analyze binaries
- Prepare professional penetration testing reports
- Build practical confidence for the CPENT certification exam
- Create professional penetration testing reports with actionable recommendations
Vision
Goal
Skill-Building
Mentoring
Direction
Support
Success
Benefits of CPENT Training
Builds Advanced Hands-on Pentesting Skills
Covers AI-Driven Pentesting Techniques
Prepares for Practical Exam Challenges
Strengthens VAPT and Red Team Readiness
Improves Real-World Reporting Skills
Average Salary
Average Salary
Hiring Companies
"Source: Indeed, Glassdoor"
Confused about the right course for yourself?
It was a very good experience with the team. The class was clear and understandable, and it benefited me in learning all the concepts and gaining valuable knowledge.
I loved the overall training! Trainer is very knowledgeable, had clear understanding of all the topics covered. Loved the way he pays attention to details.
I had a great experience with the team. The training advisor was very supportive, and the trainer explained the concepts clearly and effectively. The program was well-structured and has definitely enhanced my skills in AI. Thank you for a wonderful learning experience.
The class was really good. The instructor gave us confidence and delivered the content in an impactful and easy-to-understand manner.
The program helped me understand several areas I was unfamiliar with. The instructor was exceptionally skilled and confident in delivering content.
The program was well-structured and easy to follow. The instructor’s use of real-life AI examples made it easier to connect with and understand the concepts.
Frequently Asked Questions
What is the EC-Council CPENT AI Certification?
CPENT AI is EC-Council’s advanced practical penetration testing certification that validates real-world offensive security, exploit development, AI-assisted testing, pivoting, and reporting skills.
How is CPENT AI different from the previous CPENT certification?
CPENT AI updates the original CPENT with AI-driven techniques across the penetration testing lifecycle, including reconnaissance, vulnerability analysis, exploitation support, automation, and reporting.
What topics are covered in the CPENT AI training course?
The course covers OSINT, social engineering, web and API testing, perimeter evasion, Windows and Linux exploitation, Active Directory, reverse engineering, fuzzing, pivoting, IoT testing, and report writing.
Does CPENT AI include AI-powered penetration testing techniques?
Yes. The course includes AI-assisted techniques for reconnaissance, vulnerability discovery, attack planning, exploitation workflows, analysis, and reporting.
What AI tools and technologies are covered in CPENT AI training?
CPENT AI covers AI-assisted penetration testing approaches, automation techniques, AI-supported vulnerability analysis, and tool-based workflows. The exact tool list may vary with EC-Council’s latest courseware.
Does the course cover Active Directory, IoT, OT, and SCADA penetration testing?
Yes. CPENT AI includes Active Directory and IoT penetration testing, along with exposure to OT and SCADA security concepts used in modern enterprise environments.
What is the official CPENT AI exam format and assessment process?
The CPENT AI exam is a 100% practical, performance-based exam conducted in a live cyber range. Candidates must complete real-world tasks and submit a penetration testing report.
How is CPENT AI different from CEH AI and OSCP?
CEH AI is more foundational; CPENT AI is advanced and enterprise-focused; and OSCP is highly hands-on. CPENT AI stands out for its AI integration, enterprise-grade range, IoT/OT coverage, pivoting, and structured reporting.
Does CPENT AI include exploit development, double pivoting, and advanced attack techniques?
Yes. The course covers exploit development, binary exploitation, privilege escalation, lateral movement, double pivoting, defense evasion, and advanced enterprise attack scenarios.
Who should enroll in the CPENT AI certification training?
This course is ideal for:
- Ethical Hackers
- Penetration Testers
- Red Team Professionals
- VAPT Analysts and Engineers
- Security Testers
- Application Security Professionals
- Network Server Administrators
- Firewall Administrators
- System Administrators
- Security Consultants
- Cybersecurity Engineers
- Risk Assessment Professionals
- Professionals preparing for advanced offensive security roles
What skills will I gain from CPENT AI training?
You will gain practical skills in advanced penetration testing, AI-assisted testing, exploit development, AD attacks, privilege escalation, pivoting, IoT testing, and professional report writing.
How does CPENT AI prepare professionals for enterprise red team operations?
CPENT AI prepares learners through realistic enterprise attack scenarios involving segmented networks, Active Directory, perimeter defenses, lateral movement, pivoting, privilege escalation, and actionable reporting.