Securing AI Applications: From Threats to Controls
Learn how to defend generative AI systems using firewalls, SPM, and data governance tools
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Securing AI Applications: From Threats to Controls is a IT & Software course on Udemy. Learn how to defend generative AI systems using firewalls, SPM, and data governance tools The material is organised so learners can progress from the fundamentals to applying what they have learned in realistic scenarios.
Key Skills You Will Learn
- Examine how GenAI systems expand the attack surface across models, data, and tools
- Use an end to end AI security architecture to map protections onto each subsystem
- Develop comprehensive threat scenarios for LLM based applications and choose fitting safeguards
- Deploy guardrail frameworks and policy engines to control user inputs and model outputs
- Integrate security gates into AI delivery processes, covering data validation and model assessments
- Set up authentication flows, permission boundaries, and controlled tool capabilities for AI services
Who This Course Is For
This course suits learners who want a guided, self-paced path into IT & Software, from complete beginners to practitioners looking to refresh or formalise their knowledge. Check the curriculum and requirements section on Udemy to confirm it matches your current level.
Our Take
If the topic aligns with your goals, this is a convenient way to build skills on your own schedule. Udemy courses include lifetime access to the enrolled content, so you can revisit lessons whenever you need them.
Before you enroll
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