comparison
Credo AI vs LLM Guard: which fits your compliance needs?
Credo AI ships as enterprise while LLM Guard is open source. Pick Credo AI for enterprise deployment; pick LLM Guard when open source fits your buying model better.
Enterprise
Credo AI
AI governance platform for model registries, risk assessments, and EU AI Act conformity.
- Category
- Enterprise Security & Guardrails
- Frameworks
- EU AI Act, NIST AI RMF, ISO/IEC 42001, NYC Local Law 144, SOC 2 Type II, ISO 27001
- Open source
- No
- Highlights
- Credo AI gives compliance and ML teams a shared system of record for AI use cases.
- Model and vendor inventories, risk scoring, policy packs (EU AI Act, NIST AI RMF, ISO/IEC 42001, NYC LL 144), and conformity workflows produce reviewer-ready evidence.
- Integrates with MLflow, Databricks, SageMaker, and Vertex AI to pull model metadata automatically.
Open Source
LLM Guard
Archived open-source toolkit of 35+ input/output scanners. Read-only since Jul 2026 after Palo Alto Networks folded Protect AI into Prisma AIRS.
- Category
- Enterprise Security & Guardrails
- Frameworks
- GDPR, OWASP LLM Top 10
- Open source
- Yes
- Highlights
- 35+ chainable input and output scanners
- Secrets and PII detection with redaction
- Prompt-injection and jailbreak heuristics
- Self-hosted; no data leaves your environment
When to pick which
Pick Credo AI if
You want enterprise pricing, and broader framework coverage (EU AI Act, NIST AI RMF, ISO/IEC 42001, NYC Local Law 144, SOC 2 Type II, ISO 27001).
Pick LLM Guard if
You want open source pricing and self-hosting flexibility.
About Credo AI
Credo AI has been building AI governance since before it was a budget line, and it shows in the risk library — regulatory mappings across the EU AI Act, NIST AI RMF, ISO 42001, and US state law that competitors are still assembling. Forrester named it a Leader in Q3 2025. Its sharpest current idea is three-layer governance: model-level, agent-level, and application-level oversight in one platform. As enterprises deploy agentic systems that take actions rather than generate text, governance tooling that only understands "models" misses where 2026 risk actually lives. Credo articulated that problem earlier than the incumbents.
About LLM Guard
LLM Guard is the utility knife of the open-source stack: 35+ scanners you chain into whatever sanitization pipeline your threat model needs — PII, secrets, toxicity, bias, code detection, injection heuristics — all running in your infrastructure with zero data egress. The Protect AI acquisition by Palo Alto Networks in 2025 put a major vendor behind its maintenance without closing the source. The trade-off is operational: you own model downloads, latency tuning, and scanner threshold calibration. Teams that underinvest in calibration get either alert fatigue or silent gaps; the scanners are only as good as the thresholds you set against your own traffic.
faq
Frequently asked questions
- What's the difference between Credo AI and LLM Guard?
- Credo AI: AI governance platform for model registries, risk assessments, and EU AI Act conformity. LLM Guard: Archived open-source toolkit of 35+ input/output scanners. Read-only since Jul 2026 after Palo Alto Networks folded Protect AI into Prisma AIRS.
- Which is better for compliance, Credo AI or LLM Guard?
- Credo AI covers EU AI Act, NIST AI RMF, ISO/IEC 42001, NYC Local Law 144, SOC 2 Type II, ISO 27001. LLM Guard covers GDPR, OWASP LLM Top 10. Choose the one that matches your audit scope.
- Is Credo AI or LLM Guard open source?
- Credo AI: Closed source / commercial. LLM Guard: Yes — code on GitHub.
- How are Credo AI and LLM Guard priced?
- Credo AI uses a Enterprise model. LLM Guard uses a Open Source model. Confirm current tiers on each vendor's pricing page.
Comparisons are editorial opinions based on our published methodology, for informational purposes only. Data as of 2026-07-20. Read the disclaimer.
