AI Defense-in-Depth Security FAQs

Question 1

What are the 8 layers of security included?

Accepted Answer

The layers include Edge protection, Gateway authentication, Input validation, Authorization, Data Access scoping, LLM Orchestration, Output validation, and Observability/Audit trails.

Question 2

What is the core principle of the Defense-in-Depth skill?

Accepted Answer

The core principle is that no single security control should be the only thing protecting sensitive operations. It applies eight overlapping validation layers so that if one fails, others continue to protect the system.

Question 3

Is this skill suitable for production AI environments?

Accepted Answer

Absolutely. It is part of the OrchestKit toolkit and provides production-ready patterns specifically designed for high-security environments using FastAPI, LangGraph, and modern LLM integrations.

Question 4

How does this skill handle multi-tenant data security?

Accepted Answer

It implements tenant isolation at the Data Access layer using query-level filtering and an immutable RequestContext, ensuring that the LLM cannot accidentally access data across tenant boundaries.

Question 5

Can this skill prevent prompt injection attacks?

Accepted Answer

Yes, it uses a combination of Layer 2 (Input Validation) with prompt injection firewalls and Layer 5 (LLM Orchestration) which keeps identifiers and system logic separate from user-provided content.

AI Defense-in-Depth Security

AI Defense-in-Depth Security

Key Features

Use Cases

Key Features

Use Cases