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CEH v13 AI Training Overview
Take your AI-powered ethical hacking skills to the next level with our Classroom and Online CEH v13 AI Training at WebAsha Technologies in Ballari. This program is designed to help learners gain hands-on, AI-driven skills required for next-gen penetration testing and AI defense. Whether you’re starting your career or aiming for a professional upgrade, this course equips you with the expertise to confidently clear the CEH v13 AI certification exam and boost your IT career in 2026 and beyond.
What is CEH v13 AI?
The CEH v13 AI is the world’s first AI-integrated ethical hacking certification that proves a candidate can leverage AI for offensive and defensive cybersecurity. The exam evaluates practical, AI-powered skills — not just theory — so you must demonstrate hands-on ability using AI tools under timed conditions.
CEH v13 AI covers AI reconnaissance, AI phishing, deepfake attacks, adversarial ML, automated pentesting, AI defense automation, and generative AI vulnerabilities. Training emphasizes AI labs and exam simulations so you can confidently complete the practical tasks required to earn the certification.
CEH v13 AI Training Overview:
The CEH v13 AI Training focuses on developing in-depth knowledge and practical proficiency in AI-powered ethical hacking. Through interactive AI labs and real-world simulations, participants learn to perform advanced hacking tasks including AI reconnaissance, AI social engineering, ML model poisoning, automated exploitation, and AI defense. The course emphasizes practical, performance-based learning, ensuring students are fully prepared for the AI-enhanced CEH v13 exam.
Intended Audience:
This course is ideal for cybersecurity professionals, AI specialists, and ethical hackers who want to validate their expertise through the world’s first AI ethical hacking certification. It’s also suitable for students, career changers, and professionals in Ballari who aim to enter the AI cybersecurity domain and enhance their technical profile. Whether you’re new to AI hacking or have prior exposure, this training will guide you from the basics to advanced AI attack techniques.
Topics Covered:
- AI in Ethical Hacking: AI attack surfaces, tools, and frameworks.
- AI Reconnaissance: OSINT with AI, data mining, and profiling.
- AI Phishing & Deepfakes: Generate AI phishing, voice/video deepfakes.
- Adversarial ML Attacks: Poison models, evade detection, backdoor AI.
- Automated Pentesting: AI-driven scanning, exploitation, and reporting.
- AI Defense Automation: AI SOC, anomaly detection, auto-remediation.
- Generative AI Vulnerabilities: Prompt injection, data leakage, jailbreaks.
- AI Ethics & Laws: Responsible AI hacking, compliance, regulations.
- CEH v13 AI Exam Prep: Mock exams, AI lab challenges, strategy.
Requirements:
Participants should have basic IT and Python knowledge. For online learners, a stable internet connection and access to a laptop with GPU recommended are required to participate in live AI sessions and labs. The course includes hands-on AI performance-based labs which are crucial for mastering the practical skills needed to succeed in the CEH v13 AI exam.
Pre-Requisites:
Basic CEH or ethical hacking knowledge is recommended. Familiarity with Python and ML concepts is helpful.
Career Benefits:
Earning the CEH v13 AI credential opens the door to elite AI cybersecurity roles. Certified professionals often secure positions such as AI Ethical Hacker, ML Security Engineer, AI Red Teamer, or Automated Pentester. In India, especially in Ballari and other major IT hubs, CEH v13 AI professionals can earn between ₹12 LPA to ₹35 LPA, with global opportunities in AI defense and automated security.
Tops Tools Covered in CEH v13 AI Course Training
| Category | Tools Covered |
|---|---|
| Reconnaissance & Footprinting | nmap, dnsenum, theHarvester, Maltego, Shodan, Google Dorks, WHOIS, Recon-ng |
| Scanning & Enumeration | Nessus, OpenVAS, Nikto, Enum4linux, SMBClient, SNMPWalk, LDAPSearch |
| Vulnerability Analysis | Nessus, OpenVAS, OWASP ZAP, Burp Suite Scanner, Acunetix |
| System Hacking | Metasploit, Hydra, John the Ripper, Hashcat, Mimikatz, CrackMapExec |
| Web Application Hacking | Burp Suite, OWASP ZAP, sqlmap, XSSer, Commix, Wappalyzer |
| Wireless & Mobile Hacking | Aircrack-ng, Kismet, Wireshark, Mobile Security Framework (MobSF), Frida |
| Network Sniffing & MITM | Wireshark, tcpdump, Ettercap, Bettercap, sslstrip, arpspoof |
| Social Engineering | Social-Engineer Toolkit (SET), Gophish, Maltego, LinkedIn Scraping |
| Cloud Security | AWS CLI, Azure CLI, CloudSploit, Prowler, ScoutSuite, Pacu |
| AI-Powered Tools & Techniques | ChatGPT for Recon, AI-based Payload Generation, Deepfake Tools, Adversarial ML Testing |
| Post-Exploitation & Persistence | Meterpreter, Empire, Covenant, PowerSploit, BloodHound, CrackMapExec |
| Cryptography & Steganography | OpenSSL, Steghide, ExifTool, Binwalk, Foremost |
| Reporting & Compliance | Dradis, KeepNote, CherryTree, PwnDoc, Faraday |
Curriculum CEH v13 AI
Certified Ethical Hacker v13 AI Curriculum
Download SyllabusThe CEH v13 AI curriculum covers 20 modules including reconnaissance, scanning, exploitation, cloud security, adversarial AI, automated pentesting, and real-world AI attack simulations aligned with the EC-Council exam blueprint.
- Core principles of ethical hacking.
- Legal considerations and ethics.
- Threat landscape overview.
- Lab setup and course workflow.
- OSINT techniques for information gathering.
- Passive and active reconnaissance methods.
- Tools like Shodan, Whois, Google Dorking.
- Analyzing collected data for targets.
- Network discovery techniques.
- Port scanning with Nmap and Masscan.
- Scan result analysis and interpretation.
- Evasion techniques for stealth scanning.
- Service and user enumeration.
- Banner grabbing techniques.
- SMB, LDAP, NetBIOS enumeration.
- Automated tools for efficient enumeration.
- Using scanners like Nessus, OpenVAS.
- CVE database analysis.
- Vulnerability prioritization.
- Remediation planning strategies.
- Gaining access techniques.
- Privilege escalation on Windows/Linux.
- Post-exploitation activities.
- Maintaining access methods.
- Types of malware (viruses, trojans).
- Sandboxing and analysis techniques.
- Reverse engineering basics.
- Detection evasion methods.
- Packet capturing with Wireshark.
- Protocol analysis techniques.
- Man-in-the-Middle (MITM) attacks.
- Countermeasures against sniffing.
- Psychology behind social engineering attacks.
- Phishing and vishing simulations.
- Physical security testing methods.
- Mitigation strategies and training.
- DoS/DDoS attack types and vectors.
- Amplification techniques.
- Detection methods.
- Mitigation practices.
- Cookie and session manipulation.
- XSS, CSRF attacks.
- Web session hijacking strategies.
- Defensive measures.
- OWASP Top 10 flaws.
- Input validation vulnerabilities.
- File upload attacks.
- Secure coding best practices.
- SQL injection techniques (union, blind).
- Database enumeration methods.
- Exploiting database vulnerabilities.
- Hardening strategies for databases.
- Wireless protocols overview.
- WEP/WPA cracking methods.
- Rogue AP setup and attacks.
- Secure Wi-Fi deployment techniques.
- Embedded device attack vectors.
- Firmware analysis techniques.
- OT protocols overview.
- Securing IoT ecosystems.
- Cloud architecture vulnerabilities.
- Identity misconfiguration exploits.
- S3/Blob storage attacks.
- Cloud hardening best practices.
- Symmetric/asymmetric cryptography.
- TLS/SSL attacks.
- Certificate management.
- Key management best practices.
- Mobile OS threats (Android/iOS).
- App security analysis.
- Insecure storage exploits.
- Device hardening techniques.
- Evidence collection and preservation.
- Forensic tool usage (Autopsy, FTK).
- Log analysis techniques.
- Incident response workflows.
- End-to-end pentest processes.
- Evidence-based reporting.
- Remediation guidance.
- Real-world scenario labs.
Meet Our AI Expert Trainer
Mr. Satyendra Pal
Senior CEH v13 AI Instructor | AI Cybersecurity Specialist | Corporate Mentor
Mr. Satyendra Pal is one of the pioneering CEH v13 AI Certified Instructors in India, with over a decade of experience in AI-Powered Ethical Hacking, Machine Learning Security, and Automated Defense.
As a lead mentor at WebAsha Technologies, Ballari, he has trained thousands to achieve the world’s first AI ethical hacking certification.
His teaching philosophy emphasizes hands-on AI labs, enabling students to build, attack, and defend AI systems in real-time. He is known for simplifying complex AI attack vectors into practical, exam-ready lessons.
Under his mentorship, learners not only pass the CEH v13 AI exam but also secure elite roles in AI security and automated pentesting across global MNCs.
- Over 14+ Years in AI Cybersecurity & Ethical Hacking
- Trained 100K+ Professionals in AI Security
- First CEH v13 AI Trainer in India
- Helps Learners Master AI Attacks with Real Models & Labs
Our AI Mentorship Approach
Every learner benefits from a structured AI mentorship model under Mr. Satyendra Pal and our CEH v13 AI team. Each course includes:
- AI Performance Labs: Practice with real AI models and frameworks.
- Exam Strategy: AI mock tests and lab challenges.
- Individual Guidance: Small batches for personalized AI mentoring.
- Career Support: AI resume building and interview prep.
Self Assessment
Learn, Growth & Test your skills with online Assessment Exam to achieve your certificaion goal
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CEH v13 AI Certification Bootcamp in Ballari
The CEH v13 AI certification validates your AI-powered ethical hacking skills, globally recognized as the future of cybersecurity.
- World’s First AI Certification: Only CEH v13 AI proves AI hacking skills.
- Performance-Based: Tests real AI attack and defense skills.
- Future-Proof: Essential for AI security roles.
- Prerequisites: Basic Python and CEH knowledge recommended.
- Global Validity: Valid for 3 years worldwide.
- Hands-On Exam: AI lab-based assessment.
- Language: English.
Our Recent Certified Candidates
CEH v13 AI Exam Details and Format
| Attribute | Details |
|---|---|
| Exam Name | Certified Ethical Hacker v13 AI (CEH v13 AI) |
| Exam Duration | 240 Minutes |
| Number of Questions | 125 (AI-Enhanced) |
| Exam Fee | 25,000 + Taxes for India For Discount |
| Validity | 3 Years |
| Exam Code | 312-50-AI |
| Exam Format | AI Lab + Multiple Choice |
| Passing Score | 70% (Adaptive) |
| Eligibility | Basic Cybersecurity knowledge recommended |
| Languages | English |
| Mode | Online Proctor / In-Person |
Passing Criteria for CEH v13 AI Exam
Score 70% on AI lab + MCQ exam (240 min). Offered by WebAsha in Ballari, tests AI hacking skills. Fees 25,000 + Taxes for India, valid 3 years. Online/in-person proctored in English. Prepare with WebAsha for AI mastery.
Job Roles and Salary Outlook After CEH v13 AI
The CEH v13 AI (Certified Ethical Hacker with AI Specialization) is a cutting-edge certification designed for cybersecurity professionals who want to master the intersection of artificial intelligence and offensive security.
With AI-powered malware, deepfake phishing, autonomous bots, and adversarial AI attacks on the rise, organizations are actively seeking ethical hackers who can think like an AI and defend against AI-driven threats.
As per industry reports, AI cybersecurity roles are projected to grow by over 300% by 2026, creating a massive talent shortage. CEH v13 AI graduates are positioned at the forefront of this transformation, making them some of the most in-demand and highly compensated professionals in the global cybersecurity ecosystem.
| Job Title | Primary Responsibilities | Average Salary (INR) |
|---|---|---|
| AI Ethical Hacker | Conducts advanced penetration testing on AI/ML systems using adversarial machine learning, data poisoning, model inversion, and evasion techniques. Simulates real-world AI-powered cyberattacks to identify vulnerabilities in generative AI, computer vision, and NLP models. |
Fresher: ₹12 – 18 LPA Experienced (3–5 yrs): ₹25 – 40 LPA |
| ML Security Engineer | Secures the entire machine learning lifecycle — from data ingestion to model deployment. Implements secure MLOps, detects backdoors in training data, and hardens models against extraction, inversion, and membership inference attacks. Works closely with data science teams to build trustworthy AI. |
Fresher: ₹10 – 15 LPA Experienced: ₹22 – 35 LPA |
| AI Red Teamer | Leads offensive security operations using AI automation tools to simulate large-scale, intelligent attacks. Uses reinforcement learning agents, GANs, and automated exploit generation to test enterprise defenses at scale. Provides strategic recommendations to CISOs on AI threat modeling. |
Fresher: ₹12 – 16 LPA Experienced: ₹25 – 38 LPA |
| Automated Pentester | Leverages AI-driven vulnerability scanners, intelligent fuzzers, and autonomous pentesting frameworks (like AutoPentestGPT) to perform continuous, large-scale security assessments across cloud, web, API, and IoT environments. Reduces manual effort while increasing coverage and accuracy. |
Fresher: ₹10 – 14 LPA Experienced: ₹20 – 32 LPA |
| AI SOC Analyst | Operates in next-gen Security Operations Centers using AI-powered SIEM, UEBA, and threat intelligence platforms. Analyzes AI-generated alerts, detects anomalies using unsupervised learning, and responds to AI-evolved threats in real time. Bridges the gap between traditional SOC and AI-driven defense. |
Fresher: ₹9 – 13 LPA Experienced: ₹18 – 30 LPA |
Note: Salary data is based on current market trends (2024–2026) in India for AI-specialized cybersecurity roles from platforms like Naukri, LinkedIn, and Glassdoor. Actual compensation varies by company (FAANG, startups, consulting), location (Bangalore, Hyderabad, Pune), and individual negotiation skills.
Future Outlook: By 2026, over 70% of enterprise cyberattacks will involve AI components. Governments, banks, healthcare, and autonomous vehicle companies are building dedicated AI security teams — making CEH v13 AI a mandatory credential for leadership roles in AI defense.
Global Opportunities: CEH v13 AI professionals are recruited by Google, Microsoft, IBM, Accenture, Deloitte, Palo Alto Networks, CrowdStrike, and Darktrace for roles in AI trust, safety, and offensive research.
Career Benefits of CEH v13 AI
As organizations adopt artificial intelligence across products and infrastructure, security roles must evolve to defend AI-first systems. The CEH v13 AI (Certified Ethical Hacker — AI) credential equips security professionals to think like adversaries who target models, datasets, and AI pipelines — and to design effective defenses.
This advanced program — delivered with production-like labs and live AI toolsets — teaches you how to identify model-level vulnerabilities, exploit weak ML pipelines, and implement practical mitigations that protect data, models, and automated decisioning systems.
- High market demand & first-mover advantage: Organizations building or integrating AI urgently need security talent who understand model threats (poisoning, evasion, prompt injection, data leakage). CEH v13 AI holders join an elite pool of practitioners with demonstrable AI offensive and defensive skills.
- Attractive compensation profiles: Specialization in AI security typically commands a premium. Typical market ranges (indicative) include: Entry-level: ₹12–18 LPA, Mid-level (2–5 yrs): ₹20–35 LPA, Senior / Specialist: ₹35 LPA and above — with AI security roles often paying 25–50% more than equivalent non-AI security positions.
- Global recognition & cross-industry mobility: CEH v13 AI-certified professionals are sought after by cloud providers, AI product teams, fintech, healthcare, government labs, and research organizations — enabling career moves across companies and geographies.
- Future-proof technical skillset: Gain expertise in securing generative models, designing robust data pipelines, defending against adversarial ML attacks, implementing model monitoring and drift detection, and applying privacy-preserving techniques like differential privacy and federated learning.
- Hands-on AI lab experience: Work with GPU-accelerated sandboxes, pre-trained LLMs, GAN frameworks, adversarial toolkits, and automated attack-emulation bots — practice end-to-end offensive and defensive exercises that mirror real-world AI threats.
- Clear career progression paths: Opens pathways to roles such as AI Red Team Lead, ML Security Architect, Adversarial ML Researcher, AI Trust & Safety Engineer, and senior SRE/DevSecOps positions focusing on model reliability and secure deployment.
- Practical portfolio & interview advantage: Lab reports, reproducible adversarial experiments, and demonstrable mitigations from the course strengthen your interview dossier and technical case studies for hiring managers.
Best CEH v13 AI Training & Certification in Ballari
As Ballari embraces digital transformation, the importance of cybersecurity has never been more pronounced. Organizations across various sectors are increasingly adopting AI technologies, leading to a heightened need for robust security measures. This shift underscores the critical role that ethical hacking plays in safeguarding sensitive information and maintaining trust in digital services.
The CEH v13 AI training program is designed to equip learners with the skills necessary to combat contemporary AI-driven security challenges. Participants will engage with advanced concepts such as automated exploitation and adversarial machine learning, ensuring they are adept at identifying and neutralizing intelligent attacks. This hands-on approach prepares students to excel in a landscape where threat detection is becoming increasingly sophisticated.
For students and professionals in Ballari, CEH v13 AI represents a promising career pathway. With the growing job market for ethical hackers and penetration testers, this certification not only enhances employability but also offers long-term growth opportunities in AI security roles. As businesses seek to fortify their defenses, the relevance of this training continues to rise, making it an essential investment for future success.
