Rebuff
A system that identifies and blocks prompt injection attacks and improves its defenses based on detected attacks
- Also known as
- rebuff
Available worldwide · Popular in: US
What is Rebuff?
A framework that protects AI systems from prompt injection attacks through four defense mechanisms: input heuristics, LLM-based analysis, vector database pattern recognition, and canary token detection. Currently in alpha/prototype stage.
Rebuff pricing
We don't have Rebuff's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
What Rebuff does
The capabilities that matter for ai guardrails, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Architecture model
- Managed cloud inline proxy
- Prompt injection and jailbreak blocking
- ✓
- Inbound pii and credit card masking redaction
- -
- Outbound toxicity and competitor mention blocking
- -
- Hallucination and topical off brand drift detection
- -
- Sub 50ms latency guarantees for proxy routing
- -
- Custom regex and deterministic denylist rulesets
- ✓
- Streaming token interception and chunked eval
- -
- Rag retrieval chunk poisoning defense
- -
- Zero data retention and prompt privacy guarantees
- ✗
- SOC2 type ii
- -
- ISO 27001
- -
- Pricing model
- -
Platform & deployment
Independently observed- CLI
- Web
- Self-hosted
Integrations (3)
Independently observed- OpenAI
- Supabase
- Pinecone
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Rebuff FAQ
Common questions about Rebuff, answered from independent, dated evidence.
What is Rebuff?
A framework that protects AI systems from prompt injection attacks through four defense mechanisms: input heuristics, LLM-based analysis, vector database pattern recognition, and canary token detection. Currently in alpha/prototype stage. It is indexed under AI Guardrails.
Source: https://github.com/pricing
Is Rebuff free?
Rebuff offers a free tier, so you can start without paying. Pricing changes often, so verify at source before relying on it.
Source: https://github.com/pricing
What platforms does Rebuff support?
Rebuff supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://github.com/pricing
Can Rebuff be self-hosted?
We have only confirmed a cloud / SaaS deployment for Rebuff, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.
Source: https://github.com/pricing
What does Rebuff integrate with?
We have confirmed 3 integrations for Rebuff, including OpenAI, Supabase and Pinecone. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://github.com/pricing
Is Rebuff open source?
Yes. Rebuff is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Where is Rebuff available?
Rebuff is available worldwide. Its primary market is the United States.
Source: https://github.com/pricing
Rebuff alternatives
Other ai guardrails we track, ranked by the same independent score.
- Enkrypt AIEnterprise AI governance and security through real-time policy enforcementmedium · 53%
- Arthur ShieldA monitoring and governance platform for AI and machine learning applicationsmedium · 54%
- HiddenLayerA comprehensive security platform purpose-built for AI systems and applicationslow · 29%
- NVIDIA NeMo GuardrailsOpen-source framework for adding safety controls to AI-powered conversation systemslow · 29%
- Lakera GuardAI security platform that detects and blocks threats to large language model applications in real-timemedium · 56%
- Llama GuardContent moderation models for safeguarding AI system interactionslow · 25%
Compare Rebuff
Side by side against other ai guardrails, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Rebuff, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 46 | 0.08 | 3.7 | ✓ |
| Stars | 60 | 0.05 | 2.8 | ✓ |
| Integrations | 17 | 0.05 | 0.9 | ✓ |
| Dependent projects | 5 | 0.05 | 0.3 | ✓ |
| Development activity | 0 | 0.14 | 0.0 | ✓ |
| Release cadence | 0 | 0.08 | 0.0 | - |
| Security posture | 0 | 0.12 | 0.0 | - |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Security score | 0 | 0.05 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 0 | mediumsource · 2026-10-14 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 7 items | mediumsource · 2026-09-10 · 64% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Architecture model: managed_cloud_inline_proxy · Prompt injection and jailbreak blocking: Yes · Custom regex and deterministic denylist rulesets: Yes · Zero data retention and prompt privacy guarantees: No | mediumsource · 2026-10-14 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 3 | mediumsource · 2026-08-21 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | TypeScript | highsource · 2026-10-14 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-10-14 · 95% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | mediumsource · 2026-08-21 · 50% |
Pricing
Release
| Attribute | Value | Evidence |
|---|---|---|
| History | 3 items | mediumsource · 2026-10-14 · 70% |
Security
Is Rebuff the right choice for you?
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