Generative AI is transforming how organizations create and process information, enabling automation, content generation and advanced decision support. At the same time, it introduces new security risks, such as data exposure, model misuse and prompt-based attacks. As adaption grows, organizations must balance innovation with strong security measures to protect data and ensure responsible AI use.
Generative AI is changing how we build and secure software. In the one-day training Generative AI & Security you will learn the inner workings of modern AI systems and why understanding them is essential for security.
You will discover where today’s real risks lie and how attackers can misuse large language models to extract sensitive data, leak hidden prompts, or trigger unexpected costs. This course helps you build both awareness and practical skills to work safely and confidently with AI in your daily projects.
By attending this course, you also meet the EU AI Act requirements on AI Literacy. Key topics such as risks, privacy, data sharing, model bias, and hallucinations are thoroughly addressed, ensuring that you not only gain technical skills but also the knowledge needed to remain compliant with upcoming AI regulations. The course is built around the OWASP Top 10 for LLM Applications, translating each risk into real-world scenarios you will actually encounter. We explore input-side threats such as prompt injection, prompt leakage, and data or model poisoning.
You will also examine output-side pitfalls like insecure handling of generated text, sensitive information disclosure, and hallucinations with legal or reputational impact. Finally, we look at architectural issues: supply-chain vulnerabilities, weaknesses in vector stores and RAG pipelines, excessive agent permissions, and uncontrolled resource consumption.
The course is highly interactive and hands-on. In guided lab sessions, you will practice with real LLM applications: crafting and detecting prompt injections, simulating poisoning, extracting secrets, and testing for insecure outputs. For each vulnerability, we link the exercise to concrete defenses, such as input validation, output sanitization, guardrails, and robust deployment strategies so you immediately know how to apply safeguards in practice.
Course outcomes
After this course, you can identify, reproduce, and mitigate the most important security risks in LLM-powered systems and AI-enabled applications. You’ll leave with tested patterns and checklists you can apply directly in SecOps, DevSecOps, and development workflows.
This course covers all topics for AI Literacy as required by the EU AI Act regulation.
Module 1: Introduction to Generative AI and its Security Implications
Module 2: The OWASP LLM Top 10 – A Comprehensive Overview
Module 3: Input-Related Threats
Module 4: Output-Related Threats
Module 5: Infrastructure & Architecture Threats
Module 6: Defensive Strategies and Best Practices
| Plaats | Duur | Data | ||
|---|---|---|---|---|
| NIEUWEGEIN - Iepenhoeve 39 | 1 dag | 31 augustus 2026 |  |
Inschrijven > |
| Virtual Classroom | 1 dag | 31 augustus 2026 | |
Inschrijven > |
| NIEUWEGEIN - Iepenhoeve 39 | 1 dag | 23 november 2026 | |
Inschrijven > |
| NIEUWEGEIN - Iepenhoeve 39 | 1 dag | 15 februari 2027 | |
Inschrijven > |
| Virtual Classroom | 1 dag | 15 februari 2027 | |
Inschrijven > |
| NIEUWEGEIN - Iepenhoeve 39 | 1 dag | 21 mei 2027 | |
Inschrijven > |
| Virtual Classroom | 1 dag | 21 mei 2027 | |
Inschrijven > |
The course is meant for Security engineers and analysts, SecOps, DevSecOps and software developers.
The following prior knowledge is required: - technical background; - some experience in software development or general AI.
The course lasts one day.
The maximum amount is twelve persons.
After the course you will receive a certificate.
