Rebuff: Is It Still Maintained in 2026?
ArchivedRebuff is an open-source Guardrails / LLM Firewall tool from Protect AI (a Palo Alto Networks company) — Apache-2.0, written in TypeScript, built for LLM prompt injection detector using heuristics, an LLM-based detector, vector-store similarity, and canary tokens. As of 2026-07-13, its repository status is "Archived". Stars and last-push date are pulled live from the GitHub API.
Repository snapshot
- 1,511
- GitHub stars
- 2024-08-07
- Last push
- v0.1.1
- Latest release
- Apache-2.0
- License
- TypeScript
- Language
- Archived
- Status
Repo: protectai/rebuff · LLM prompt injection detector using heuristics, an LLM-based detector, vector-store similarity, and canary tokens · pulled live as of , refreshed weekly
What Rebuff does
LLM prompt injection detector using heuristics, an LLM-based detector, vector-store similarity, and canary tokens Protect AI (a Palo Alto Networks company) maintains it under the Apache-2.0 license. Commercial vendors covering the same ground are scored, cell by cell, in the OWASP LLM Top 10 coverage matrix.
Status note: Rebuff is flagged "Archived". Check the repo before you build a pipeline on it. (Confirmed via GitHub's own archive banner: 'This repository was archived by the owner on May 16, 2025.' Matches brief's claim exactly. Last push was 2024-08-07, well before archival.)
Install & source
Repository: https://github.com/protectai/rebuff
Frequently asked questions
Is Rebuff still maintained in 2026?
As of 2026-07-12, Rebuff's repository is flagged "Archived". Check the latest push date on GitHub before you rely on it.
What license is Rebuff under?
Rebuff runs under the Apache-2.0 license, maintained by Protect AI (a Palo Alto Networks company).
What is Rebuff used for?
LLM prompt injection detector using heuristics, an LLM-based detector, vector-store similarity, and canary tokens. It sits in the Guardrails / LLM Firewall category.