Registry › Compare › Guardrails AI vs Snyk Agent Scan

Guardrails AI vs Snyk Agent Scan

Guardrails AI leads on trust: 76.7/100 (Grade B) against 63.4/100 (Grade C), a 13.3-point gap. Guardrails AI leads on supply-chain integrity and provenance, and rests on broader evidence; Snyk Agent Scan leads on maintenance.

B Guardrails AI 76.7

Adding guardrails to large language models.

guardrails-ai/guardrails · #234 overall · #5 Security & Guardrails · coverage A (4/5)

Choose Guardrails AI if supply-chain integrity and provenance matter most.

  • +7.9Safety / Integrity: OSSF Scorecard 6.0 against 5.7
  • +7.2Identity / Provenance: package provenance attested, against none
  • +6.9Adoption: 7.6k GitHub stars against 3.2k
  • A vs CEvidence coverage: 4 of 5 independent signal types, against 2

Security scanner for AI agents, MCP servers and agent skills.

snyk/agent-scan · #574 overall · #8 Security & Guardrails · coverage C (2/5)

Choose Snyk Agent Scan if maintenance matters most.

  • +6.0Maintenance: last push 1d ago, against 3d ago

Where they differ

20.0
Safety / IntegrityGuardrails AI +7.9
12.1
18.0
Identity / ProvenanceGuardrails AI +7.2
10.8
13.6
TransparencyGuardrails AI +0.3
13.3
11.8
MaintenanceSnyk Agent Scan +6.0
17.8
15.3
AdoptionGuardrails AI +6.9
8.4
-2.0
Runtime calibrationSnyk Agent Scan +3.0
+1.0

Full evidence table

An independent, evidence-based trust comparison of Guardrails AI and Snyk Agent Scan, two Security & Guardrails projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.

Full evidence

Signal Guardrails AIguardrails-ai/guardrails Snyk Agent Scansnyk/agent-scan
HVTrust score 76.7 63.4
Evidence grade B C
Coverage grade A C
Overall rank #234 #574
Rank in Security & Guardrails #5 #8
GitHub stars 7.6k 3.2k
Last updated 3d ago 1d ago
Build provenance Yes No
OSSF Scorecard 6.0 / 10 5.7 / 10
License Apache-2.0 Apache-2.0
Downloads 33k/wk —
Trust dimensions (points earned)
Safety / integrity / 25 20.0 12.1
Identity & provenance / 18 18.0 10.8
Transparency / 17 13.6 13.3
Maintenance / 20 11.8 17.8
Adoption / 20 15.3 8.4
Runtime capability surface (full matrix)
MCP server — Implemented
External providers 3 — Anthropic, Multi-provider (LiteLLM), OpenAI 1 — Anthropic
Requires API keys Yes Yes
Plugin surface — —
Provenance drift Unknown —
Open in the live compare tool → Guardrails AI profile Snyk Agent Scan profile More Security & Guardrails →

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.4 →