Kanawai AI vs Openlayer Guardrails

Kanawai AI is a web-based enterprise platform for tracking organizational AI use, spend, governance, and security. It continuously discovers AI tools, plugins, and model endpoints, including unsanctioned tools, to maintain an inventory. Spend views attribute token use and cost to users, teams, workloads, models, and departments across connected providers. The platform can recommend lower-cost models when they may deliver the same outcome. For governance, it converts regulatory frameworks and internal policies into machine-enforceable rules, with ongoing evaluation, containment, evidence generation, and escalation. Listed assessment frameworks include NIST AI RMF, NIST CSF 2.0, HIPAA, GDPR, and CCPA. Kanawai says it works at the application layer through scoped OAuth 2.0, SAML 2.0, or OIDC flows, without endpoint agents or cloud-environment changes. Governance actions produce signed, tamper-evident artifacts with timestamps and chain-of-custody logs. Deployments can be in the United States, Europe, or Asia with full data isolation. The AI FinOps Pilot costs nothing for 30 days; a paid subscription is optional afterward. Pricing is available on request, and there is no free plan.

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.