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Comparison
MIT · Protect AI (acquired by JFrog, 2024) · Python scanner toolkit
LLM Guard gives you scanners and lets you wire the policy yourself. SoterAI ships the policy engine, the enforcement decision, the approval workflow, and the signed audit trail.
LLM Guard is a Python toolkit of composable input and output scanners — prompt injection, toxicity, secrets, PII anonymization, ban-topics, and more — released under MIT by Protect AI (now part of JFrog). It is a good, honest library: you import the scanners you want and decide what to do with the results. SoterAI operates one level up. It is a deployed control layer with a five-step policy engine, three enforcement modes, per-department rules, an agent firewall that classifies tool-call reversibility and holds irreversible actions for human approval, HMAC-signed audit exports, and a REST API with JS/TS and Python SDKs. If you enjoy assembling your own security stack, LLM Guard is more flexible. If you need a decision, a log, and an approval queue on day one, SoterAI is less work.
LLM Guard is MIT-licensed with no commercial restrictions at all, has a clean and well-documented scanner API, is trivially embeddable in any Python service, carries no vendor dependency, and benefits from Protect AI's model-security research lineage.
| Capability | SoterAI | LLM Guard |
|---|---|---|
| Input scanners (prompt injection) | ||
| Output scanners (toxicity, relevance) | ||
| Secret / credential detection | ||
| PII anonymization | ||
| India PII Aadhaar-like, PAN, GSTIN, UPI, IFSC | ||
| Policy engine 5-step eval, 3 enforcement modes | ||
| Agent tool-call firewall Authorization + rollback | ||
| Human approval queue | ||
| RAG security Doc scan + quarantine + ACL | ||
| Hosted REST API | Partial | |
| JS / TypeScript SDK | ||
| Framework middleware LangChain, LlamaIndex, Vercel AI, MCP, n8n | Partial | |
| Dashboard + guard logs | ||
| Signed audit exports HMAC JSONL/CSV | ||
| Self-hosted | ||
| MIT / fully permissive licence |
✅ = Supported · ❌ = Not supported. Competitor capabilities are summarized from public documentation and may change.
Choose SoterAI when
You need an enforced decision, an audit trail someone else can verify, an approval step before an agent does something irreversible, and Indian PII coverage — without building the policy layer yourself.
Choose LLM Guard when
You are a Python team that wants MIT-licensed building blocks, prefers to own the policy logic in your own code, and does not need agent action control, a dashboard, or signed audit exports.
Fire a prompt-injection or PII attack in the live playground and watch SoterAI block it in under 50ms.
Source: LLM Guard (GitHub) · See the full competitor landscape.
