Ethical Hacking and AI Security

Secure the Future: Master AI-Driven Ethical Hacking and Cybersecurity

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Enroll now for early access of e-LMS

MODE
Online/ e-LMS

TYPE
Self Paced

LEVEL
Moderate

DURATION
3 Weeks

About

The program covers key concepts such as AI-driven vulnerability assessment, network security, and AI security risk mitigation. It combines traditional ethical hacking techniques with AI-driven approaches to provide a comprehensive understanding of security in AI-driven environments.

Aim

This program teaches the application of AI in ethical hacking and cybersecurity, providing professionals with the skills to use AI tools to identify, analyze, and mitigate security threats. Participants will also learn to safeguard AI systems from cyber-attacks.

Program Objectives

Understand ethical hacking techniques enhanced with AI tools.
Learn to identify and mitigate security risks in AI models.
Apply AI-driven vulnerability assessments and penetration testing.
Build robust security frameworks to protect AI systems.
Gain real-world experience in AI-driven cybersecurity.

Program Structure

Introduction to Ethical Hacking and AI Security
- Overview of Cybersecurity and Ethical Hacking
- Introduction to AI in Cybersecurity: Opportunities and Risks
- Legal and Ethical Frameworks for Ethical Hacking
AI-Driven Threat Detection
- AI Techniques for Identifying Cyber Threats
- Intrusion Detection Systems (IDS) with Machine Learning
- Case Studies: AI in Malware Detection and Network Security
Penetration Testing with AI
- Overview of Penetration Testing (Pen Testing)
- Using AI to Automate Pen Testing and Vulnerability Assessment
- Tools and Techniques for AI-Driven Pen Testing
Exploiting Vulnerabilities in AI Systems
- AI Model Vulnerabilities: Adversarial Attacks and Model Stealing
- Evasion and Poisoning Attacks on Machine Learning Models
- Case Studies: Attacking and Defending AI Models
AI for Phishing Detection and Prevention
- AI Techniques for Detecting Phishing Attacks
- Real-Time Phishing Detection Using Machine Learning
- Developing Anti-Phishing Tools with AI
Adversarial Machine Learning
- Introduction to Adversarial Attacks: Evasion, Poisoning, and Model Inversion
- Defense Mechanisms: Adversarial Training and Robustness
- Case Studies: Adversarial Attacks in Computer Vision and NLP
AI for Securing IoT and Smart Devices
- Security Challenges in IoT and Edge Devices
- AI-Driven Security Solutions for IoT Networks
- Ethical Hacking for IoT: Identifying and Exploiting IoT Vulnerabilities
AI in Network Security and Traffic Analysis
- AI for Monitoring and Analyzing Network Traffic
- Detecting Anomalies in Network Behavior Using AI
- AI-Driven Firewalls and Intrusion Prevention Systems (IPS)
Privacy and AI Security
- Ensuring Data Privacy in AI-Driven Systems
- Privacy-Preserving AI: Homomorphic Encryption, Differential Privacy
- Ethical Implications of AI in Data Privacy and Security
Blockchain and AI for Cybersecurity
- Using AI and Blockchain to Enhance Security
- AI-Driven Smart Contracts and Secure Transactions
- Combining Blockchain with AI for Decentralized Security Solutions
Defending AI Models Against Attacks
- Best Practices for Building Secure AI Models
- AI Model Monitoring and Defense Mechanisms
- Continuous Security Testing for AI Systems
Final Project
- Conduct a comprehensive ethical hacking assessment on an AI system or develop an AI-driven security solution.
- Example: Build an AI-driven intrusion detection system or test a machine learning model’s vulnerability to adversarial attacks.

Participant’s Eligibility

Cybersecurity professionals, AI engineers, ethical hackers, and security analysts.

Program Outcomes

Expertise in applying AI tools to ethical hacking and security.
Skills in identifying and mitigating vulnerabilities in AI systems.
Knowledge of AI-driven threat detection and penetration testing.
Ability to build secure AI models and systems against adversarial attacks.

Fee Structure

Standard Fee: INR ~~4,998~~ USD 78

Discounted Fee: INR 2499 USD 39

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

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Certificate

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam	Weightage
Mid Term Assignments	50 %
Project Report Submission (Includes Mandatory Paper Publication)	50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.

Program Deliverables

Access to e-LMS
Real Time Project for Dissertation
Project Guidance
Paper Publication Opportunity
Self Assessment
Final Examination
e-Certification
e-Marksheet

Future Career Prospects

AI Security Analyst
Ethical Hacker with AI Expertise
AI Penetration Tester
Cybersecurity Engineer
AI Risk and Compliance Manager
Cybersecurity Consultant

Job Opportunities

Companies focused on cybersecurity using AI tools.
Startups building AI-powered security products.
Government agencies and financial institutions implementing AI-based security protocols.