AI Governance by Decube
6.0#21 in ai governance softwareFrom $175 a monthWebAPISelf-hosted
VisitAI Governance by Decube vs Openlayer Guardrails
Openlayer Guardrails
6.9#4 in ai governance softwareFree planFree planWebAPISelf-hosted
VisitWhat both publish
| Fact | AI Governance by Decube | Openlayer Guardrails |
|---|---|---|
| Audit evidence | Decube says it maintains assessments, approvals, controls, and change history as audit-ready evidence for each AI system. | Each policy evaluation and enforcement result is recorded with decision evidence for later audit use. |
| Integrations | The integrations catalog lists Snowflake, Databricks Lakehouse, Google BigQuery, Amazon Redshift, dbt, Slack, Microsoft Teams, and Jira, among other connectors. | Openlayer advertises SDKs, a network gateway, CLI, REST API, Git, OpenTelemetry and Snowflake connectivity. |
| Intended users | The page describes the product as built for regulated AI teams handling sensitive data, including governance, risk and compliance, and data and AI teams. | Openlayer says engineering, AI, security, compliance, and finance teams use the platform, including in regulated industries such as healthcare and financial services. |
| Security certifications | Decube states it is SOC 2 Type II and ISO 27001 certified and supports GDPR and HIPAA compliance. | Openlayer states that it maintains SOC 2 Type II, GDPR and HIPAA-oriented compliance controls. |
| Support | The pricing page lists email support for Starter, priority support for Growth, and priority and integration support for Enterprise. | Basic includes community support through Discord; Enterprise includes white-glove onboarding and direct Slack access to Openlayer's team. |
AI Governance by Decube plans
- Starter$175 a month
- Growth$225 a month
- EnterprisePriced on request
Openlayer Guardrails plans
- BasicFree
- EnterprisePriced on request
Pick AI Governance by Decube if…
You want what its maker publishes above — check its page for the details.
Pick Openlayer Guardrails if…
Openlayer Guardrails suits engineering, AI, security, compliance, and finance teams that need runtime controls for AI inputs and outputs. The listed use cases include regulated fields such as healthcare and financial services.