Rebuff AI

Multi-layered prompt injection detection with self-hardening capabilities — learns from new attack patterns automatically.

GrowingOpen SourceLow lock-in

Pricing

Free tier

Hybrid

Adoption

Stable

License

Open Source

Data freshness

Overview

What is Rebuff AI?

Self-hardening prompt injection detection for AI applications

Key differentiator

Multi-layered prompt injection detection with self-hardening capabilities — learns from new attack patterns automatically.

Capability profile

Strength Radar

Detecting prompt…Hardening LLM-po…Adding security …

Honest assessment

Strengths & Weaknesses

↑ Strengths

Detecting prompt injection attacks

Catalog data

Hardening LLM-powered applications

Catalog data

Adding security layers to AI pipelines

Catalog data

↓ Weaknesses

Non-LLM security needs

Catalog data

Production at massive scale without customization

Catalog data

Fit analysis

Who is it for?

✓ Best for

Detecting prompt injection attacks

Recommended use case

Hardening LLM-powered applications

Recommended use case

Adding security layers to AI pipelines

Recommended use case

✕ Not a fit for

Non-LLM security needs

Not recommended

Production at massive scale without customization

Not recommended

Cost structure

Pricing

Free Tier

Available

Fully open-source

Starts at

Free

Model

Hybrid

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Works well with

Next step

Get Started with Rebuff AI

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →