Fenced is an AI security platform designed to protect enterprise applications using large language models. It helps detect prompt injection, sensitive-data leakage,...
Pros
- Focused specifically on securing AI applications rather than general application security
- Targets prompt injection and data leakage risks in model interactions
- Designed for enterprise deployment and monitoring
Cons
- Less established publicly than Lakera or HiddenLayer
- Pricing and deployment details are not publicly clear
- May require security engineering expertise to configure effectively