Practical AI Security Training
Companies are incorporating AI assistants, language models, and, increasingly, autonomous AI agents into their processes. This creates vulnerabilities that traditional IT security measures can only partially address. The training courses in this category will show you how to secure AI systems in a targeted manner and realistically assess their risks.
AI systems process business-critical data, access internal applications, and, in some cases, make decisions on their own. Tampered input, overly broad permissions, or uncontrolled data flows can quickly lead to security incidents. By taking a training course, you’ll learn to identify these risks before they become a problem.
The course focuses on typical attack patterns targeting AI applications, a secure architecture for AI agents, and the organizational framework for AI deployment. You will learn to analyze risks, implement appropriate protective measures, and continuously monitor the operation of AI systems.
Here are the key topics you can expect to cover in our AI security training courses:
- Attacks on AI Systems: Understanding and Defending Against Prompt Injection, Jailbreaks, Data Poisoning, and Data Leaks
- Securing AI Agents: Designing Secure Permissions, Tool Access, and Human Checkpoints
- AI Red Teaming: Systematically Testing AI Applications from an Attacker's Perspective
- AI Governance and Regulation: Implementing Guidelines, Risk Assessments, and Requirements from the EU AI Act
Our " trainers " courses combine in-depth security expertise with practical experience in using AI systems. They use realistic scenarios and examples from everyday business life. This allows you to apply what you’ve learned directly to your work and become the go-to person in your company for the secure use of AI.
With AI security training, you'll lay the groundwork for using AI productively without losing control over your data and systems.
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