AI and Cybersecurity

Curso de perfeccionamiento, 40 horas lectivas

Advance your cyber skills with AI

As AI continues to transform every industry, cybersecurity is evolving faster than ever. AI is both a powerful tool and a potential threat – capable of automating defenses, detecting anomalies, and even launching sophisticated attacks. Understanding how AI reshapes the cyber landscape is  essential for every cybersecurity professional.

Wawiwa’s AI and Cybersecurity course, designed for individuals with an IT or cybersecurity background, explores the growing role of AI in the cyber landscape. It covers AI-driven threats, attack techniques, and defensive strategies, while examining how AI is integrated into modern cybersecurity tools and frameworks. 

By enrolling in this course, you're gaining practical experience in applying AI to cybersecurity challenges - strengthening your ability to predict, prevent, and respond to evolving threats with cutting-edge, AI-driven solutions.

¿A quién va dirigido este curso?

  • IT students seeking AI cybersecurity knowledge
  • Cybersecurity pros wanting to expand into AI-based offense and defense
  • Anyone curious about how AI is transforming cybersecurity

Requisitos previos

  • Basic understanding of IT concepts
  • Knowledge of cybersecurity fundamentals, such as firewalls, encryption, authentication, and basic threat models
  • Exposure to machine learning concepts (e.g., supervised and unsupervised learning) is beneficial but not mandatory

Objetivos de aprendizaje

  • Explain fundamental concepts of AI and ML and their relevance to cybersecurity
  • Gain hands-on experience using AI to simulate real-world cyberattacks and defenses
  • Understand how AI is applied in offensive cybersecurity, including attack vectors and vulnerabilities
  • Develop practical skills in using AI-driven cybersecurity tools and integrating ML models into cybersecurity frameworks
  • Analyze the ethical, legal, and future implications of AI in cybersecurity

Lo que obtendrá...

Supervisor profesional e instructores

Supervisa todos los cursos cibernéticos de Wawiwa el Sr. Nadav Nachmias, Jefe de Programas de Ciberseguridad de Wawiwa.
Los instructores del curso son profesionales de la ciberseguridad con experiencia práctica y conocimientos de formación. El nivel técnico del curso puede ajustarse en función de la audiencia.
Nadav Nachmias Jefe de Programas de Ciberseguridad

Nadav Nachmias

Jefe de Programas de Ciberseguridad

Nadav es un especialista en ciberseguridad con más de 15 años de experiencia, centrado en estrategias de ciberseguridad, arquitectura y capacitación de la mano de obra. Su experiencia práctica le ha hecho intuitivo el desarrollo de diversos programas y materiales de formación en varios campos de la ciberseguridad (incluida la gestión de la ciberseguridad, la gestión y respuesta a incidentes y la ciberciencia forense).

¿Qué opinan los licenciados?

Programa del curso

Module 1: Introduction to AI in Cybersecurity

4 Theoretical Hours, 1 Practical Hour

  • Basic concepts of AI, ML, and their relevance to cybersecurity
  • Key AI algorithms: supervised, unsupervised, reinforcement learning
  • Evolution of AI in the tech and cybersecurity landscape
  • Hands-on practice with AI frameworks and tools (e.g., Google AI, TensorFlow)
  • Build a simple ML model for cybersecurity tasks

Module 2: AI in Cyber Attack Vectors

4 Theoretical Hours, 3 Practical Hours

  • Use of AI in phishing, malware, ransomware, deepfakes, and DDoS attacks
  • AI’s impact on emerging attack vectors and tactics
  • Role of deep learning in evading detection
  • Hands-on practice with AI-driven attack simulation tools
  • Simulate AI-powered phishing campaigns and malware
  • Create DDoS attack patterns with ML tools

Module 3: Offensive AI Methods and Practices

4 Theoretical Hours, 3 Practical Hours

  • AI-driven vulnerability scanning and automated exploitation
  • Use Generative Adversarial Networks (GANs) in offensive cybersecurity
  • AI in social engineering: leveraging NLP and data analysis for attacks
  • Hands-on penetration testing with AI-based tools
  • Explore AI-based vulnerability scanning and exploitation techniques
  • Simulate AI-driven social engineering tactics with NLP tools

Module 4: AI in Cyber Defense and Security

4 Theoretical Hours, 4 Practical Hours

  • AI for Intrusion Detection Systems (IDS)
  • AI for anomaly detection, endpoint security, and autonomous threat hunting
  • Case studies: AI-driven defense mechanisms in real-world scenarios
  • Hands-on practice with AI-based IDS
  • Set up and test anomaly detection models using ML
  • Analyze network traffic with AI and identify security threats

Module 5: AI Integration in Cybersecurity Tools

3 Theoretical Hours, 3 Practical Hours

  • Overview of AI-driven tools: Darktrace, Cylance, CrowdStrike
  • Role of AI in Security Information and Event Management (SIEM)
  • How ML models improve threat detection and response
  • Hands-on practice with AI security tools (e.g., Darktrace, Cylance, CrowdStrike)
  • Integrate ML models into SIEM systems (e.g., Splunk)
  • Enhance real-time threat detection with AI

Module 6: Ethics, Legal, and Future Directions

4 Theoretical Hours, 1 Practical Hour

  • Ethical issues in AI cybersecurity: privacy, misuse, accountability
  • Legal frameworks and regulations for AI in cybersecurity
  • Future trends and challenges in AI-driven cybersecurity
  • Group discussions and case studies on AI ethics
  • Debate the legal and ethical implications of AI-based offense and defense

Module 7: Capstone Project and Course Wrap-Up

1 Theoretical Hour, 1 Practical Hour

  • Review of key course concepts and practical takeaways
  • Explore future trends in AI and cybersecurity
  • Capstone project: configure or develop an AI-powered cybersecurity solution 
  • Project presentations and peer discussions

Dé a su equipo la ventaja que necesita para triunfar con nuestros cursos completos, adaptados a sus necesidades específicas.

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