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Workshop AI Security Practitioner

Workshop AI Security Practitioner

2 days Classroom Nederlands

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Description

As in almost every field, AI applications and knowledge can also contribute to more efficient and faster work in information security/cybersecurity. Since cybercriminals also use AI in automated exploits, social engineering, and for example phishing and ransomware attacks, AI has secured a place in the cat-and-mouse game in which cybersecurity specialists operate. With the advent of AI, the threat landscape has changed, and the same is expected of the defensive and offensive security skills within an organization. 

In this 2-day workshop, we will start with a brief introduction to AI basic principles and concepts, but we will quickly get practical with applications in the areas of SIEM, SOC, Threat Intelligence, Vulnerability Scanning, and Penetration Testing. By the end, you will know how AI threatens the security of your organization, but also how you can implement AI solutions to mitigate these risks. The AI Security Practitioner workshop is therefore suitable not only for professionals who are actually at the controls but also for security and risk managers, CISO's who want to see quickly how AI can operationally help achieve tactical or strategic objectives. 

 

 

Certification

There is no certification associated with this workshop. However, you will receive a certificate of participation indicating the number of training hours completed. This can be useful for maintaining (C)PE obligations for sustaining any other certifications.

Training Requirements

  • IT-security specialisten
  • SOC-analisten
  • Cybersecurity consultants
  • Security-, Riskmanagers, CISO’s

Training Content

Verschil tussen AI, machine learning en deep learning

Soorten AI in cybersecurity: supervised, unsupervised, reinforcement learning

AI-gedreven detectie vs. traditionele beveiligingsmethoden

AI in SIEM- en SOC-platformen

Gebruik van anomaly detection voor netwerkbeveiliging

Case study: AI-gedreven Intrusion Detection Systems (IDS)

Deep learning voor malwareclassificatie

AI bij het herkennen van phishing-mails

AI-tools voor phishing-analyse

AI-automatisering in incident response

SIEM-integratie met AI

Demo: AI-gebaseerde dreigingsanalyse

Hoe AI wordt ingezet voor offensieve cybersecurity

AI-gedreven vulnerability scanning en exploit ontwikkeling

AI-gebaseerde pentest-tools

Bias en risico’s van AI in cybersecurity

Wet- en regelgeving rondom AI-gebruik

Case study: ethische dilemma’s in AI-gedreven security

AI bij het voorspellen en detecteren van zero-day aanvallen

Deep learning en threat intelligence

AI-tools voor zero-day detectie testen

AI en quantum computing in security

AI-gedreven cyber threat intelligence

AI in supply chain security

Description

As in almost every field, AI applications and knowledge can also contribute to more efficient and faster work in information security/cybersecurity. Since cybercriminals also use AI in automated exploits, social engineering, and for example phishing and ransomware attacks, AI has secured a place in the cat-and-mouse game in which cybersecurity specialists operate. With the advent of AI, the threat landscape has changed, and the same is expected of the defensive and offensive security skills within an organization. 

In this 2-day workshop, we will start with a brief introduction to AI basic principles and concepts, but we will quickly get practical with applications in the areas of SIEM, SOC, Threat Intelligence, Vulnerability Scanning, and Penetration Testing. By the end, you will know how AI threatens the security of your organization, but also how you can implement AI solutions to mitigate these risks. The AI Security Practitioner workshop is therefore suitable not only for professionals who are actually at the controls but also for security and risk managers, CISO's who want to see quickly how AI can operationally help achieve tactical or strategic objectives. 

 

 

Certification

There is no certification associated with this workshop. However, you will receive a certificate of participation indicating the number of training hours completed. This can be useful for maintaining (C)PE obligations for sustaining any other certifications.

Training Requirements

  • IT-security specialisten
  • SOC-analisten
  • Cybersecurity consultants
  • Security-, Riskmanagers, CISO’s

Training Content

Verschil tussen AI, machine learning en deep learning

Soorten AI in cybersecurity: supervised, unsupervised, reinforcement learning

AI-gedreven detectie vs. traditionele beveiligingsmethoden

AI in SIEM- en SOC-platformen

Gebruik van anomaly detection voor netwerkbeveiliging

Case study: AI-gedreven Intrusion Detection Systems (IDS)

Deep learning voor malwareclassificatie

AI bij het herkennen van phishing-mails

AI-tools voor phishing-analyse

AI-automatisering in incident response

SIEM-integratie met AI

Demo: AI-gebaseerde dreigingsanalyse

Hoe AI wordt ingezet voor offensieve cybersecurity

AI-gedreven vulnerability scanning en exploit ontwikkeling

AI-gebaseerde pentest-tools

Bias en risico’s van AI in cybersecurity

Wet- en regelgeving rondom AI-gebruik

Case study: ethische dilemma’s in AI-gedreven security

AI bij het voorspellen en detecteren van zero-day aanvallen

Deep learning en threat intelligence

AI-tools voor zero-day detectie testen

AI en quantum computing in security

AI-gedreven cyber threat intelligence

AI in supply chain security

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What Can I Learn After The Workshop AI Security Practitioner?

  • Explain the difference between AI, ML, and DL.
  • Use simple AI prompts for simulation purposes.
  • Describe the role of AI in log processing and incident detection.
  • Have a base64 malware snippet evaluated by AI.
  • Analyze a log file yourself with an AI assistant (like ChatGPT).
  • Critically reflecting on the reliability and applicability of AI in real IR scenarios.
  • Generating practical scripts with AI and testing them safely.
  • Describing how AI and anomaly detection can be used to recognize unknown attack patterns.
  • Provide examples of how AI and quantum computing enhance each other in cybersecurity.
  • Recognizing ethical risks in the use of AI in security applications
  • Formulating an AI strategy focused on cybersecurity
  • Setting up your own AI roadmap with goals, priorities, and conditions.
  • Naming AI applications in cybersecurity.
  • Explaining what anomaly detection is and how it works with AI.
  • Explaining how AI is used for malware and phishing detection.
  • Generate an incident analysis yourself based on raw logs.
  • Describe the role of AI in each phase of incident response.
  • Explaining how AI can be used in different phases of a pentest.
  • Assessing the risks of AI in the hands of attackers.
  • Understanding the basic principles of quantum computing and the difference with classical computing.
  • Understanding the importance of post-quantum cryptography and AI-based preparations for quantum threats
  • Reflecting on laws and regulations regarding AI
  • Identifying where AI adds value within a security organization.
  • Explaining how AI is used by attackers and defenders.
  • Generate a simple Python script to filter log data.
  • Generate and analyze a phishing email yourself using AI.
  • Recognizing bias and risks of AI in detection processes.
  • Using AI to structure, analyze, and report incident data.
  • Using AI for code generation, recon, and exploit development.
  • Explain what a zero-day attack is and why traditional detection methods often fall short.
  • Explaining the impact of quantum computing on traditional encryption methods.
  • Understanding what AI bias is and how it arises
  • Learning to deal with moral dilemmas in AI-driven cybersecurity
  • Understanding how to implement AI responsibly, effectively, and at scale

Schedules

This training is scheduled as follows in the coming period. Missing a date? Feel free to contact us.

Date: 13 - 14 juli 2026

Location: TSTC Veenendaal - Klassikaal & Live Online

Price: € 1.495,- ex BTW

Date: 28 - 29 september 2026

Location: TSTC Veenendaal - Klassikaal & Live Online

Price: € 1.495,- ex BTW

Date: 26 - 27 november 2026

Location: TSTC Veenendaal - Klassikaal & Live Online

Price: € 1.495,- ex BTW

Date: In overleg

Location:

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Applicant Information

2

Billing Information

I am taking this next step in my lifelong learning journey.

1

Applicant Information

2

Billing Information

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