trail
6.4#24 in ai governance toolsWebAPISelf-hosted
Visit| Fact | trail | Trusys AI |
|---|---|---|
| Deployment | Trail lists SaaS, on-premises, and BYOC deployment options, including AWS, Azure, and Google Cloud. | Trusys offers a fully managed cloud-hosted service and self-hosted deployment in a customer's data center. |
| Integrations | The site lists OneTrust, Collibra, ServiceNow, SAP LeanIX, Confluence, Jira, GitHub, GitLab, SharePoint, Notion, Databricks, MLflow, Hugging Face, ZenML, and n8n among its integrations. | The maker says SaaS agents connect via API, custom agents via SDK, and coding agents via MCP. |
| Intended users | The product is designed for organizations building or using AI, with regulated enterprises, risk and compliance teams, and AI teams identified as likely users. | The site identifies AI and ML engineering teams, Chief AI Officers, compliance leaders, CISOs, GRC heads, and platform engineering leads as intended users. |
| Product | Trail provides AI governance and GRC tools that automate compliance work for AI systems and software. | Trusys describes itself as an enterprise AI assurance platform for evaluating, monitoring, securing, and governing AI systems across their lifecycle. |
| Security | Trail states that it is certified under ISO 27001 and ISO 42001 and lists EU data centers, SSO, 2FA, role-based access control, and audit logging. | The maker states that the platform is SOC 2 Type II certified and evaluation data is encrypted at rest and in transit. |
| Support | Trail offers implementation and onboarding, access to AI governance experts, and partner support. | The site advertises 24/7 enterprise support; the Professional plan includes priority support and Enterprise includes dedicated support. |
| Trial | The FAQ says Trail offers a time-limited test account and may run structured proof-of-concept programs; it does not specify a trial duration. | The site offers a free trial with no credit card required and says users can get started in about 10 minutes. |
No prices published.
You want what its maker publishes above — check its page for the details.
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.