AI Powered Course
InfosecTrain’s AI Powered Web Application Pentester Certification Training
Become an AI Powered Web App Pentester
Program Highlights
InfosecTrain’s AI Powered Web Application Pentester program teaches learners how AI enhances every stage of web application security testing. From automated reconnaissance to intelligent fuzzing, payload creation, vulnerability detection, and exploitation, participants learn how modern AI models, LLM-based tools, and AI-guided workflows dramatically increase the speed and accuracy of web penetration testing.
40-Hour Instructor-led Training 
Web App Pentesting with AI Augmentation 
Hands-on Labs with Burp Suite, PentestGPT, ReconGPT 
AI-driven Scanning, Enumeration & Payload Generation 
OWASP Top 10 (2025) Aligned Exploitation 
Real-World Attack Simulations 
Advanced Exploitation & Bypass Techniques 
Mentoring and Post-Training Support 
Access to Recorded Sessions
Training Schedule
- upcoming classes
- corporate training
- 1 on 1 training
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This course provides an end-to-end understanding of web application pentesting with an AI-first approach. Learners explore AI-assisted reconnaissance, authentication attacks, vulnerability discovery, web protocol analysis, OWASP Top 10 exploitation, payload generation, and automated fuzzing workflows. With hands-on practice using AI-driven tools and LLM-supported exploitation, participants develop the practical skills needed to test and secure modern web applications at scale.
- Module 1: Introduction to AI
- What is AI?
- Core concepts: machine learning, natural language processing, neural networks
- Difference between AI, ML, and automation
- AI in Offensive Security
- Role of AI in reconnaissance, vulnerability detection, and exploitation
- Examples: PentestGPT, ChatGPT, Deep Hat, ReconGPT
- Benefits of AI in Penetration Testing
- Speed, scale, and pattern recognition
- Reducing false positives and automating repetitive tasks
- Limitations and Ethical Considerations
- Bias, hallucinations, and over-reliance
- Responsible use of AI in ethical hacking
- AI Tools Landscape
- Overview of AI-enhanced tools: Burp Suite extensions, AI-based scanners, LLM-assisted scripting
- Integration with traditional workflows
- What is AI?
- Module 2: Threat Modelling with AI Assistance
- Definition and importance of threat modelling
- Key components and goals
- AI-assisted threat modelling frameworks (STRIDE, PASTA, MITRE ATT&CK + AI mapping)
- Asset identification using AI-based OSINT tools
- Risk-based asset prioritization with AI scoring
- AI-driven attack vector prediction
- Mapping potential attack paths using graph-based AI tools
- Module 3: Web Technologies & Protocols
- Web application architecture and HTTP protocol fundamentals
- Dissecting HTTP requests and responses
- HTTP Methods and Status Codes
- Cookie behavior and session management
- AI-based analysis of headers, cookies, and tokens
- Module 4: Information Gathering (Practical)
- AI-powered OSINT tools (SpiderFoot, ReconGPT)
- Banner grabbing with netcat and AI-enhanced fingerprinting
- Nmap with AI-based scan prioritization
- OS detection using AI-assisted ping analysis
- robots.txt and AI-based content discovery
- Module 5: Scanning and Vulnerability Discovery
- Nikto and AI-enhanced vulnerability correlation
- Acunetix with AI-based risk scoring
- AI-assisted false positive reduction and scan result triage
- Module 6: OWASP Top 10 with AI Context
- What is OWASP and how AI reshapes its application
- OWASP Top 10 (2025) vulnerabilities
- AI-driven detection and exploitation techniques for each:
- Broken Access Control
- Security Misconfiguration
- Software Supply Chain Failures
- Cryptographic Failures
- Injection
- Insecure Design
- Authentication Failures
- Software or Data Integrity Failures
- Logging & Alerting Failures
- Mishandling of Exceptional Conditions
- Module 7: Lab Setup for AI-Powered Testing
- Installing Burp Suite Pro in Kali Linux
- Browser certificate setup
- Installing AI-enhanced Burp extensions (e.g., Autorize, Param Miner, PentestGPT)
- Module 8: Mapping Applications & Attack Surface
- Discovering hidden content using Gobuster + AI heuristics
- Intruder-based directory discovery with AI payload generation
- Directory brute-forcing with Wfuzz and AI wordlists
- Identifying entry points using AI-assisted crawling (e.g., Hkrawler)
- Fingerprinting web servers with AI-enhanced Nmap
- Enumerating applications using AI-based reconnaissance
- Module 9: Attacking Authentication Mechanisms
- Brute-forcing login panels with AI-generated credentials
- Username enumeration using AI pattern recognition
- Testing insecure HTTP authentication flows
- Evaluating password policies with AI dictionaries
- Browser cache analysis using AI automation
- Hidden page discovery with AI-enhanced dirbuster
- Module 10: Advanced Nmap with AI
- Nmap fundamentals
- Scan types and AI-based scan selection
- Open port discovery with AI prioritization
- Service version detection with AI correlation
- Nmap scripting with AI-generated NSE logic
- Module 11: Exploiting Vulnerabilities with AI
- Access control exploitation using AI fuzzing
- Authentication bypass with AI payload crafting
- Path traversal detection using AI pattern matching
- AI-assisted exploitation workflows using tools like PentestGPT
- Module 12: OWASP Vulnerability Exploitation
- SQL Injection
- Manual exploitation
- Blind SQLi detection with AI
- SQLMap automation
- 2. XSS
- Reflected, Stored, DOM XSS
- AI-generated payloads and bypasses
- CSRF
- POST-based exploitation
- AI-crafted CSRF payloads
- XML Vulnerabilities
- XXE and Blind XXE
- SSRF chaining with AI
- Server-Side Vulnerabilitie
- SSRF scanners with AI logic
- Exploitation automation
- Broken Access Control
- IDOR detection with AI
- Functional access control mapping
- Injection Vulnerabilities
- OS Command and Code Injection
- AI-generated payloads and shellcode
- SQL Injection
- Module 13: Advanced Exploitation Techniques
- Tools
- Burp Suite Proxy
- Web listeners
- Source code analysis with AI
- Wordlists (AI-generated)
- Gobuster, Wfuzz, Hkrawler
- File Upload Vulnerabilities
- LFI/RFI theory and exploitation
- AI-assisted file path prediction
- Origin-Based Vulnerabilities
- SOP and CORS exploitation
- AI-based CORS misconfiguration detection
- Remediation Strategies
- AI-generated fix recommendations
- Secure coding practices with AI linting tools
- Tools
- Web Application Penetration Testers
- Bug Bounty Hunters and Ethical Hackers
- AppSec Engineers validating web application security
- Security professionals transitioning to AI-assisted web pentesting
- Basic understanding of web technologies such as HTTP, browsers, and web applications
- Familiarity with common web vulnerabilities and foundational security testing concepts
- Comfortable working with Kali Linux or similar security testing environments
You will be able to:
- Perform AI-assisted web application pentesting
- Detect and exploit OWASP vulnerabilities using AI tools
- Automate payload creation and fuzzing with LLMs
- Enhance recon, scanning and exploitation accuracy
- Build AI-supported testing workflows and reports
How We Help You Succeed
Vision
Goal
Skill-Building
Mentoring
Direction
Support
Success
Benefits of InfosecTrain’s Certified AI Powered Web Application Pentester Training
Learn AI-driven web exploitation
Hands-on lab practice across all modules
Enhance vulnerability detection accuracy
Build automation-ready offensive workflows
Apply AI to real-world web pentesting and bug bounty scenarios
Average Salary
Average Salary
Hiring Companies
"Source: Indeed, Glassdoor"
Confused about the right course for yourself?
Words Have Power
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.
Success Speaks Volumes
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Frequently Asked Questions
What is the Certified AI Powered Web Application Pentester Training Course?
The Certified AI Powered Web Application Pentester Training is a hands-on, instructor-led program designed to teach learners how AI enhances every stage of web application security testing. The course blends traditional web pentesting techniques with AI-driven reconnaissance, intelligent fuzzing, automated vulnerability detection, payload generation, and OWASP exploitation using tools like PentestGPT, ReconGPT, Burp Suite, Nmap, and Metasploit.
Who should enroll in this AI-enabled web application pentesting certification?
This course is ideal for:
- Web Application Penetration Testers
- Bug Bounty Hunters and Ethical Hackers
- AppSec Engineers validating web application security
- Security professionals transitioning to AI-assisted web pentesting
What AI tools and automation techniques are used for web security testing?
Learners work with a wide range of AI-powered tools, including:
- PentestGPT, ReconGPT & ChatGPT for AI-assisted exploitation, enumeration, and reconnaissance
- AI-driven Burp Suite extensions (Autorize, Param Miner, AI payload enhancers)
- AI-based vulnerability scanners for automated analysis and risk scoring
- AI-powered OSINT tools like SpiderFoot & AI heuristics
- AI-generated payload crafting, wordlists & fuzzing automation These tools help optimize reconnaissance, scanning precision, vulnerability detection, and exploitation workflows.
Do I need prior ethical hacking or web application knowledge for this course?
You don’t need advanced ethical hacking experience to join this course. A basic understanding of web technologies (HTTP, browsers, web applications), familiarity with common web vulnerabilities and security testing concepts, and comfort using Kali Linux or similar environments are sufficient. The course builds on these fundamentals and progressively teaches AI-powered web application pentesting concepts from the ground up.
Does the training cover OWASP Top 10 using AI-driven methodologies?
Yes. The program includes complete exploitation of the OWASP Top 10 (2025) with AI support.
Will I get hands-on labs and real-world attack simulations?
Absolutely. The training includes practical, scenario-based labs covering:
- AI-guided reconnaissance
- AI-enhanced scanning and exploitation
- OWASP exploitation labs
- Payload generation with LLMs
- Burp Suite Pro labs with AI extensions
- AI-driven fuzzing, wordlists, and script automation
Does InfosecTrain provide post-training support and recorded sessions?
Yes. InfosecTrain provides:
- Dedicated mentoring
- Post-training doubt-clearing support
- Access to complete recorded sessions
What job roles can I pursue after completing this certification?
After completing the training, you become eligible for high-demand roles such as:
- AI Web Application Pentester
- Offensive Security Engineer
- AI Bug Bounty Researcher
- Web Red Team Specialist
- Application Security Tester
How do I enroll in InfosecTrain’s Certified AI Powered Web Application Pentester Training Course?
To enroll in the InfosecTrain’s Certified AI Powered Web Application Pentester Training at InfosecTrain:
- Visit the InfosecTrain website, www.infosectrain.com, and navigate the InfosecTrain's Certified AI Powered Web Application Pentester Training course page.
- Fill out the registration form.
- You will receive a confirmation email with further instructions.
- Book your free demo with the Expert.
