Overview
Description
Rebuff protects your AI applications from prompt injection attacks, one of the most critical security risks in generative AI. It uses four layers of defense to detect and block malicious inputs before they can compromise your system. The bottom line: add robust, self-hardening security to your LLM apps without building detection from scratch.
Technical scorecard
License
Apache-2.0
Commercial use
Yes
OpenAI-compatible API
Yes
REST API
Yes
Fine-tuning support
No
Quantization support
No
Docker available
No
GUI / no-code available
Yes
Telemetry
Unknown
Offline after setup
No
Data & Privacy
Does it send data online?
This listing is not marked offline after setup.
Does it store history?
Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.
License checks?
Commercial use is marked as allowed or likely allowed by the listed license.
Telemetry?
Unknown
Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.
Deploying Rebuff in production?
Stop silent telemetry leaks before they trigger an unintended data leak. Get our Airgap Certainty Blueprint for Rebuff.
Request Privacy and Telemetry AuditSetup & Installation
A developer can usually get this running with standard docs.
# Start with the official project repository
# https://github.com/protectai/rebuffHardware Requirements
Works Well With