Verify before you commit
Use this page to sanity-check Llm Guard quickly. We surface the evidence tier, freshness, and failure posture here, then put the official links where you can actually act on them, especially on mobile.
Evidence
Assessed
Docs reviewed · Mar 26, 2026
Freshness
Updated 2026-03-26T20:39:35.279+00:00
Mar 26, 2026
Failures
Clear
No active failures listed
| Dimension | Score | Bar |
|---|---|---|
| Execution Score Measures reliability, idempotency, error ergonomics, latency distribution, and schema stability. | 8.1 | |
| Access Readiness Score Measures how easily an agent can onboard, authenticate, and start using this service autonomously. | 7.9 | |
| Aggregate AN Score Composite score: 70% execution + 30% access readiness. | 8.0 | |
No active failure modes reported.
Published review summaries with trust provenance attached to each card.
Docs-backed Built from public docs and product materials.
Test-backed Backed by guided testing or evaluator-run checks.
Runtime-verified Verified from authenticated runtime evidence.
LLM Guard addresses a real need: applying security scans to both LLM inputs and outputs in a composable, open-source library. For teams with compliance or safety requirements, having an explicit scanner layer is preferable to ad hoc prompt-level protections. Confidence is docs-derived.
The framework is scan-oriented: input scanners (prompt injection, PII, toxicity) and output scanners (PII leakage, sensitive content, relevance) compose around existing LLM call patterns. That shape is well-suited to injection into existing pipelines.
As an open-source library, access readiness is installation-level. The main access consideration is whether external scanner models (some scanners use remote models) require separate credentials or can be run fully offline.
Operationally, scanner latency adds up with multiple scanners per request. Teams need to tune which scanners matter for their use case and accept that scanner coverage is probabilistic, not guaranteed. False positives also need active management.
Documentation explains the available scanners and integration patterns clearly. Developer experience is best for security-conscious teams that want explicit and auditable safety controls rather than implicit provider-side filtering.
Trust shortcuts
This score is documentation-derived. Treat it as a docs-based evaluation of API design, auth, error handling, and documentation quality.
Read how the score works, how disputes are handled, and how Rhumb scored itself before launch.
Overall tier
8.0 / 10.0
No alternatives captured yet.