AIGR vs Openlayer Guardrails
AIGR
aigrglobal.comOpenlayer Guardrails
openlayer.devSide by side
| Figure | AIGR | Openlayer Guardrails |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 2 |
| Spec score · AI Governance Software | 7.5 (#24) | 8.3 (#4) |
| Spec score · AI governance tools | 6.9 (#49) | 8.8 (#4) |
| Intended users | AIGR describes its ratings as decision support for boards, buyers and risk teams. | Openlayer says engineering, AI, security, compliance, and finance teams use the platform, including in regulated industries such as healthcare and financial services. |
| Security | AIGR’s privacy policy describes its services as designed around controlled access, evidence ownership and auditability, and lists safeguards such as role-based access, authentication controls, encryption where appropriate, logging and backup. | Openlayer states it has SOC 2 Type II certification and GDPR compliance, supports HIPAA-aligned use cases, and encrypts data at rest with AES-256 and in transit with TLS 1.2 or higher. |
Plans
In their own words
Openlayer Guardrails
Openlayer Guardrails inspects live AI inputs and outputs and can block, redact, escalate, or route policy violations for review. It targets prompt injection, jailbreak attempts, exposure of personal or health information, and harmful or toxic content. Openlayer says it detects and blocks more than 50 PII and PHI entity types inline. Teams can configure sensitive-data categories to block and topics an assistant should avoid. Guardrails are commonly enforced through the Gateway or applied directly through the SDK; connections are also available through framework integrations, a CLI, and REST API. Each decision can be recorded with its timestamp, system version, owner, supporting trace, and reason for blocking. Openlayer says guardrail activity contributes to compliance evidence and names the EU AI Act, ISO/IEC 42001, NIST AI RMF, and OSFI E-23. Deployment options include customer VPC and air-gapped environments; on-premise deployment is available on Enterprise. Basic is free, with one member, five projects, one inference pipeline per project, 20,000 monthly logs, 20 tests per project, one workspace, three months of retention, and Discord support. Enterprise pricing is custom.