Secure AI Programming
- Tijdsduur
Secure AI Programming
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Beschrijving
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Learn to build secure AI applications and recognize and mitigate the most critical security risks in Large Language Model systems.
AI applications introduce new security risks that don't appear in traditional security frameworks. This course centers on the OWASP Top 10 for Large Language Models: a practical guide to the most critical vulnerabilities in LLM-based systems.
You'll not only learn to recognize the risks but also how to defend against them effectively — whether you're building, integrating, or auditing an AI application. The focus is on practical application: from prompt injection to excessive agency, you understand how attacks work and how to prevent them.
This course is designed…
Veelgestelde vragen
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Meer weten over de onderwerpen die aan bod komen en de vereiste voorkennis? Neem vrijblijvend contact met ons op.
Learn to build secure AI applications and recognize and mitigate the most critical security risks in Large Language Model systems.
AI applications introduce new security risks that don't appear
in traditional security frameworks. This course centers on the
OWASP Top 10 for Large Language Models: a practical guide to the
most critical vulnerabilities in LLM-based systems.
You'll not only learn to recognize the risks but also how to defend
against them effectively — whether you're building, integrating, or
auditing an AI application. The focus is on practical application:
from prompt injection to excessive agency, you understand how
attacks work and how to prevent them.
This course is designed for developers, architects, DevOps
engineers, testers and product owners who:
- integrate AI functionality into their applications
- want to understand the new security risks that come with it
- want to take concrete steps to secure their AI systems
- Identify the OWASP Top 10 risks specific to LLM-based
applications [Remember]
- Defend against prompt injection attacks and describe mitigation
strategies [Understand]
- Explain how improper output handling can lead to downstream
exploits [Understand]
- Apply input and output validation techniques for LLM integrations
[Apply]
- Implement access contr…
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Deel je ervaring
Heb je ervaring met deze cursus? Deel je ervaring en help anderen kiezen. Als dank voor de moeite doneert Springest € 1,- aan Stichting Edukans.Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.