AI+ Ethical Hacker™

Price
Net: 1.985,00 €
VAT.: 377,15 €

Duration
5 days

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
WalkIn^®

Request a consultation Add to favorites Print as PDF

Innovative security concepts meet the latest AI developments, paving the way for greater digital sovereignty. The combination of cybersecurity and artificial intelligence provides a forward-looking understanding of dynamic protection strategies and smart attack scenarios.

Key topics

AI-supported risk analysis and vulnerability assessment.
Automated defense mechanisms and modern defense techniques.
Analysis of attack patterns using intelligent tools.
Strategic assessment of digital threats.
Use of generative AI for security simulations.

Prerequisite
Basic understanding of IT security and openness to AI-supported working methods.

Target group
Individuals from IT, security, technology, or consulting who want to expand their practical knowledge of modern AI methods.

A future-oriented way to combine security expertise with intelligent technologies and sustainably develop digital protection concepts.

Print as PDF

Course content

Fundamentals of ethical hacking with artificial intelligence (AI)

Introduction to ethical hacking
Methodology of ethical hacking
Legal and regulatory framework
Types of hackers and their motives
Techniques for gathering information
Footprinting and reconnaissance
Network scanning
Enumeration techniques

Introduction to AI in Ethical Hacking

AI in the field of ethical hacking
Fundamentals of AI
Overview of AI technologies
Machine learning in cybersecurity
Natural language processing (NLP) for cybersecurity
Deep learning for threat detection
Adversarial machine learning in cybersecurity
AI-driven threat intelligence platforms
Automating cybersecurity with AI

AI tools and technologies in the field of ethical hacking

AI-based tools for threat detection
Machine learning frameworks for ethical hacking
AI-supported penetration testing tools
Behavioral analysis tools for anomaly detection
AI-powered network security solutions
Automated vulnerability scanners
AI in web applications
AI for malware detection and analysis
Cognitive security tools

AI-supported reconnaissance techniques

Introduction to education in ethical hacking
Traditional vs. AI-assisted reconnaissance
Automated OS fingerprinting with AI
AI-assisted port scanning techniques
Machine learning for network mapping
AI-assisted social engineering reconnaissance
Machine learning in OSINT
AI-assisted DNS enumeration and AI-assisted target profiling

AI in vulnerability analysis and penetration testing

Automated vulnerability scanning with AI
AI-powered penetration testing tools
Machine learning for exploit techniques
Dynamic application security testing (DAST) with AI
AI-driven fuzz testing
Adversarial machine learning in penetration testing
Automated reporting with AI
AI-based threat modeling
Challenges and ethical considerations in AI-driven penetration testing

Machine learning for threat analysis

Supervised learning for threat detection
Unsupervised learning for anomaly detection
Reinforcement learning for adaptive security measures
Natural language processing (NLP) for threat intelligence
Behavioral analysis using machine learning
Ensemble learning for improved threat prediction
Feature engineering in threat analysis
Machine learning in endpoint security
Explainable AI in threat analysis

Behavioral analysis and anomaly detection for system hacking

Behavioral biometrics for user authentication
Machine learning models for analyzing user behavior
Behavioral analysis of network traffic
Behavioral monitoring of endpoints
Time series analysis for anomaly detection
Heuristic approaches to anomaly detection
AI-driven threat hunting
User and entity behavior analysis (UEBA)
Challenges and considerations in behavior analysis

AI-supported systems for responding to incidents

Automated threat assessment using AI
Machine learning for threat classification
Integration of real-time threat intelligence
Predictive analytics in incident response
AI-assisted incident forensics
Automated containment and remediation strategies
Behavioral analysis in incident response
Continuous improvement through machine learning feedback
Human-AI collaboration in incident handling

AI for identity and access management (IAM)

AI-supported techniques for user authentication
Behavioral biometrics for access control
AI-based anomaly detection in IAM
Dynamic access policies with machine learning
AI-powered privileged access management (PAM)
Continuous authentication using machine learning
Automated user provisioning and revocation
Risk-based authentication with AI
AI in identity governance and administration (IGA)

Security of AI systems

Hostile attacks on AI models
Secure practices for model training
Data protection in AI systems
Secure deployment of AI applications
Explainability and interpretability of AI models
Robustness and resilience in AI
Secure transfer and sharing of AI models
Continuous monitoring and detection of threats to AI

Ethics in AI and cybersecurity

Ethical decision-making in cybersecurity
Bias and fairness in AI algorithms
Transparency and explainability in AI systems
Privacy concerns in AI-driven cybersecurity
Accountability and responsibility in AI security
Ethics of threat information sharing
Human rights and AI in cybersecurity
Compliance with legal regulations and ethical standards
Ethical hacking and responsible disclosure

Capstone project

Case Study 1: AI-powered threat detection and response
Case Study 2: Ethical Hacking with AI Integration
Case Study 3: AI in Identity and Access Management (IAM)
Case Study 4: Secure Deployment of AI Systems

Optional module: AI agents for ethical hacking

Understanding AI agents
Case studies
Practical exercises with AI agents

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What does an ethical hacker do?

An ethical hacker checks IT systems for vulnerabilities before they can be exploited by cybercriminals. The aim is to protect digital infrastructures.

Why is ethical hacking so in demand?

Digital attacks are on the rise. Companies need professionals who can identify and fix security vulnerabilities early on—before damage occurs.

What are the requirements for the ethical hacking course?

Basic knowledge of networks, IT security, or programming is helpful. Technical understanding and analytical thinking are essential.

What tools are used in the course?

Tools such as Metasploit, Nmap, Wireshark, Burp Suite, AI-based IDS/IPS systems, ML models for anomaly detection, and more are used.

What is the difference between a hacker and an ethical hacker?

A hacker attacks systems illegally. An ethical hacker uses their knowledge legally to make systems more secure—with consent and responsibility.

How does a certificate in ethical hacking help your career?

A recognized certificate confirms expertise, increases job opportunities, and opens doors to exciting roles in IT security and penetration testing.

In which industries are ethical hackers needed?

Across all industries—whether finance, healthcare, government, or manufacturing—ethical hacking is in demand wherever data needs to be protected.

What role does AI play in ethical hacking?

Artificial intelligence recognizes patterns, automates attack analysis, and helps identify new threats faster—more efficiently than manual checks.

Do you have any further questions? Please contact us.

Select your nearest center: *

0800 258 258 055

website@newhorizons.de

First Name *

Surname *

Telephone Number *

Postcode *

E-Mail *

I would like to receive funding for further training – I am currently: *

Company Name

Your message

I hereby confirm that I have taken note of the privacy notice. *