AIGovernr
6.4#6 in ai governance softwareFrom $79 a monthWeb
VisitAIGovernr vs Trusys AI
What both publish
| Fact | AIGovernr | Trusys AI |
|---|---|---|
| Integrations | Governed connector ingestion is labeled Enterprise Beta; provider-operation exercises remain pending, while repository, CI/CD and public API capabilities are planned rather than released. | The maker says SaaS agents connect via API, custom agents via SDK, and coding agents via MCP. |
| Product | AIGovernr is an AI governance platform for registering AI systems, managing controls and evidence, resolving risks, recording decisions, and demonstrating ongoing governance. | Trusys describes itself as an enterprise AI assurance platform for evaluating, monitoring, securing, and governing AI systems across their lifecycle. |
| Purpose | AIGovernr provides a workspace for registering AI systems, managing governance requirements, controls, evidence, risks and accountable decisions. | Trusys describes itself as an enterprise AI assurance platform for governing and monitoring AI systems. |
| Security | The security page says connections use TLS 1.3, database storage uses AES-256 encryption at rest, and passwords are hashed with bcrypt. | The maker states that the platform is SOC 2 Type II certified and evaluation data is encrypted at rest and in transit. |
| Support | The contact page lists technical support by email with a response time within 48 hours. | The site advertises 24/7 enterprise support; the Professional plan includes priority support and Enterprise includes dedicated support. |
AIGovernr plans
- Professional$79 a month
- Consultancy$299 a month
- Starter—
Trusys AI plans
- StarterFree
- Professional$69 a month
- EnterprisePriced on request
Pick AIGovernr if…
It suits organizations that need to inventory AI systems, track governance work, and document decisions, as well as consultants managing multiple client projects. Users should account for the stated beta status and scanner limitations.
Pick Trusys AI if…
It is aimed at AI and ML engineering teams, CISOs, Chief AI Officers, compliance leaders, GRC teams, and platform engineering leads responsible for production agents. It may suit organizations seeking evaluation and runtime policy controls for AI systems.