How I find it useful using Cisco AI Defense
Use Cases and Deployment Scope
Pros
- Stays within the framework of organization data searches
- It provide end-to-end protection for the entire AI lifecycle, from development, test and deployment to ongoing usage
- Prevents getting corrupted data that could be harmful
Cons
- Larger Large Language Models inclusion and associated RAG
- Better training and testing, tuning
- more comprehensive and better data modelling
- edge inference and tooling for various edge devices
Return on Investment
- Enhances security guidelines, compliance and policy deployment
- Prevents data leaks and safety of integrity.
- Enables visibility and telemetry across environment