- Home
- AI governance tools
- trail
On the recordRead 8 Oct 202620 facts
trail
Munich, Germany
On the record
- Acquisition
- Trail’s announcement says Collibra acquired trail ML in October 2026.trail-ml.com · read 8 Oct 2026
- AI governance
- Trail provides an AI governance platform for tracking AI assets, managing risks, and automating compliance and documentation.trail-ml.com · read 8 Oct 2026
- AI inventory
- The platform maintains a centralized registry of AI use cases, systems, agents, and models.trail-ml.com · read 8 Oct 2026
- Asset inventory
- The platform provides a centralized registry for AI use cases, systems, agents, and models, with classification and reporting.trail-ml.com · read 8 Oct 2026
- Automation
- AI analyzes connected sources and documents to assess control effectiveness and gather evidence.trail-ml.com · read 8 Oct 2026
- Company update
- Trail ML announced that Collibra acquired it on October 5, 2026.trail-ml.com · read 8 Oct 2026
- Compliance workflows
- Users can apply or customize frameworks and controls, with prebuilt templates for the EU AI Act and ISO 42001.trail-ml.com · read 8 Oct 2026
- Custom integrations
- Custom integrations are available through a GraphQL API, and the product page also describes API and Python package access.trail-ml.com · read 8 Oct 2026
- Deployment
- Trail lists SaaS, on-premises, and BYOC deployment options, including AWS, Azure, and Google Cloud.trail-ml.com · read 8 Oct 2026
- Frameworks
- Trail offers templates and workflows for requirements such as the EU AI Act and ISO 42001, and lets organizations customize frameworks.trail-ml.com · read 8 Oct 2026
- GRC agents
- Trail’s governance agents automate tasks such as control assessments, policy drafting, risk assessments, and evidence collection.trail-ml.com · read 8 Oct 2026
- Human review
- Trail says agent outputs require human approval before changes are committed to connected systems, with changes recorded in an audit history.trail-ml.com · read 8 Oct 2026
- Integrations
- Listed integrations include Confluence, SharePoint, Jira, Notion, ServiceNow, GitHub, GitLab, Bitbucket, Collibra, OneTrust, Databricks, MLflow, HuggingFace, AWS, Microsoft Azure, and Google Cloud.trail-ml.com · read 8 Oct 2026
- 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.trail-ml.com · read 8 Oct 2026
- Product
- Trail provides AI governance and GRC tools that automate compliance work for AI systems and software.trail-ml.com · read 8 Oct 2026
- Risk management
- Trail includes a curated library of over 170 AI risks, including risks from MIT, NIST, OWASP, and BSI.trail-ml.com · read 8 Oct 2026
- 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.trail-ml.com · read 8 Oct 2026
- Support
- Trail offers implementation and onboarding, access to AI governance experts, and partner support.trail-ml.com · read 8 Oct 2026