Sentinel AI FAQs

Question 1

What is Sentinel AI and what does it do?

Accepted Answer

Sentinel AI provides real-time safety guardrails for Large Language Model (LLM) applications. It protects against threats like prompt injection, PII leaks, harmful content, and code vulnerabilities, ensuring your LLM interactions are secure and compliant with OWASP LLM Top 10 standards.

Question 2

Does Sentinel AI have heavy dependencies or impact performance significantly?

Accepted Answer

No, Sentinel AI is designed to be lightweight. Its core library relies only on `regex`, ensuring zero heavy dependencies. This minimal footprint contributes to its high performance and ease of integration without adding overhead to your application.

Question 3

How fast is Sentinel AI's scanning process?

Accepted Answer

Sentinel AI is exceptionally fast, boasting an average scan latency of approximately 0.05ms. It achieves this sub-millisecond performance without requiring GPUs or external API calls, making it highly efficient for real-time applications.

Question 4

What specific security threats does Sentinel AI address?

Accepted Answer

Sentinel AI includes 11 built-in scanners that cover the OWASP LLM Top 10, including prompt injection, PII detection and redaction, harmful content, code vulnerabilities, toxicity, and tool-use safety. It acts as a comprehensive first-pass filter for various LLM security concerns.

Question 5

Is Sentinel AI compatible with existing LLM frameworks and APIs?

Accepted Answer

Yes, Sentinel AI offers seamless drop-in integrations and middlewares for popular LLM frameworks and APIs, including Claude, OpenAI, LangChain, LlamaIndex, and FastAPI. It supports multiple deployment modes like Python/TypeScript SDKs, REST API servers, and LLM API firewalls.

Sentinel AI

Sentinel AI

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