Learn how to defend generative AI systems using firewalls, SPM, and data governance tools
Sub Category
- Other IT & Software
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Objectives
- 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
- Apply data protection practices to RAG pipelines, including filtering, encryption, and structured access
- Operate AI SPM solutions to track assets, detect misconfigurations, and monitor system drift
- Build monitoring pipelines that capture queries, responses, tool usage, and evaluation metrics
- Design a full AI security control map and plan actionable rollout steps for organizational adoption
Pre Requisites
- Basic understanding of software development or IT systems
- Familiarity with AI concepts such as LLMs or RAG is helpful but not required
- General knowledge of cybersecurity principles is beneficial
- Ability to read technical diagrams and system architectures
- No prior experience with AI security tools or frameworks needed
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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