Définition
The security of AI systems is closer to cybersecurity and infrastructure protection. It includes access control, API protection, input validation, hint injection protection, monitoring, logging, and secrets management. Unlike general AI security, there is a greater focus on technical threats.
Exemple
An attacker tries to force a corporate chatbot to disclose an internal document through a specially formulated request.
Pourquoi c'est important
The term is important for developers and service owners: AI is often connected to data and tools, so it needs to be protected as a full-fledged part of the infrastructure.
Fonctionnement
The system is protected through authentication, authorization, encryption, context restrictions, filters, attack tests, monitoring of suspicious requests and separation of rights.
Où c'est utilisé
- chatbot protection
- API security
- corporate assistants
Limites
AI systems are creating new attack surfaces. Conventional application protection is necessary, but it is not enough without checking specific attacks on models and hints.
FAQ
Why is “AI Security” useful to know?
The term is important for developers and service owners: AI is often connected to data and tools, so it needs to be protected as a full-fledged part of the infrastructure.