Your AI Governance Operating System
Deploy trustworthy AI faster and cut your compliance effort in half.
01 — Keep Track of AI
Know your AI
Get complete visibility into your AI assets with centralized inventory, classification and reporting. Integrated directly into your AI platforms with automated registration of systems and agents.
Manage all AI assets
Centralized registry and analytics of all AI use cases, systems, agents and models across your organization. Link relevant information like assessments, requirements and evidence to your assets.
Classify AI risk levels
Guided risk and role classification for AI systems under the EU AI Act.
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Assess vendors
Track and assess third-party AI solutions and vendors. Comes with up-to-date templates to assess popular AI solutions fast, without scraping through contracts and websites manually.
02 — Govern AI
AI Governance across the whole lifecycle
Operationalize requirements and mitigate AI risks with curated frameworks, controls, and audit-ready processes.
Comply with regulation and policies
Guided governance workflows with automated assignments of requirements to the responsible person. Customize your own framework or use trail's pre-built templates, like for the EU AI Act or ISO 42001.
Implement & monitor controls
Automated mapping and evidence tracking for controls. Create your own or make use of trail's curated control templates to get started fast.
Audit
Dedicated auditor mode with structured evidence views for certifications as well as internal and external audits.
Manage risks
AI-specific risk identification, evaluation, and mitigation management. Comes with a curated library of over 170 risks (incl. from MIT, NIST, OWASP and BSI).
03 — Automate With AI
Scale hundreds of AI assets and
automate compliance busywork
Scale governance efficiently with AI-powered automation, documentation generation, and developer integrations.
Automate assessments
AI analyzes connected sources and documents to assess control effectiveness and gather evidence automatically.
Generate documentation
Link your development environment and knowledge sources – trail extracts information and builds up-to-date documentation automatically.
Create your own AI Agents for governance
Keep your existing GRC tools and supercharge them with AI Agents that automate whole governance workflows in the background.
Our Copy-on-Write approach gives you the best of both worlds: full automation capabilities with human control over critical decisions.
04 — Upgrade to Agentic AI Governance
Govern your AI Agents at the
speed you build them
Existing governance processes often break when introducing AI Agents: their behavior is too complex and they get deployed too fast. trail makes agent governance scalable and automated — so compliance keeps up without slowing your teams down.
Automated greenlighting of low-risk agents
Manually reviewing every agent deployment doesn’t scale. As agent volumes grow, governance becomes the bottleneck.
- trail creates an agent registry entry automatically via API based on your agent's configuration
- trail analyzes your agent and assesses the relevant controls and risks
- trail can auto-approve low-risk agents and routes higher risk levels directly to a human review
- trail stores every assessment and keeps them up-to-date
Runtime enforcement of controls
Approving an agent at deployment doesn’t mean it stays within scope. Keeping track of your agents and their permissions become a challenge.
trail acts as an enforcement layer for controls: manage your MCP gateways and monitor what agents can access, which tools they can call, and whether their permissions stay within defined boundaries. Scope violations are flagged before they become audit findings.
Integrate directly into your agent platforms
Governance bolted on after deployment is always incomplete. By the time they are detected, agents have already been running in production without oversight.
trail connects directly to the platforms where your agents are built and deployed — so you can assess and approve agents where they’re developed.
Agent-specific governance content
Mapping standard controls to agentic systems leaves critical gaps, like in accountability, traceability, and scope management.
trail includes a risk and control library purpose-built for agentic systems — not only for EU AI Act requirements but also to mitigate the unique risks of AI Agents.
Control and review critical actions of your AI Agents
In critical applications, agents may be too unreliable yet to work and write in your live systems. At the same time manually reviewing each agent action is often not feasible.
trail has brought Copy-on-Write to AI Agents, enabling you to make use of the automation capabilities of agents in critical applications while keeping the human in the loop efficiently: your agents work in a "digital twin" in the background and results only get written into your live databases after your final (and single) review. Learn more about our open-sourced Copy-on-Write for Agents tool.
Who is it for
Supports you when you build, buy or approve
AI Governance is an interdisciplinary task, requiring the joint effort of various stakeholders. trail is used by both technical and non-technical roles across departmens from 1st LoD to 3rd LoD.
Head of AI & Product Owner
Risk & Compliance
Data Scientist & Engineer
Enterprise Security
Made in Germany. Built for Enterprises.
Developed in Germany with a commitment to European values. Strict data privacy, robust security, and uncompromising quality standards in everything we build. A suitable solution for enterprises with complex requirements.
FAQ
Common questions
Get answers to the most common questions about trail's AI Governance solution.
With trail you can collect and keep track of all your AI assets (systems, models, use cases and vendors) and classify them accordingly (e.g. by risk under the EU AI Act).
From there, we guide you through your compliance and risk management processes, and we help you to collect the necessary information from other teams or tools along the way. Our integrations, automations and AI agents can help you with that!
trail is designed for organizations of all sizes that want to build or use AI responsibly. Large, regulated enterprises that develop their own AI systems typically gain the most value out of trail. Our main users typically include risk and compliance teams and AI teams (seeking to automate documentation and governance tasks).
trail is AI-native and is specifically built for the dynamic nature of AI models and their risks, which is also why we integrate seamlessly to where developers work.
Think of trail as your automation layer on top of your existing GRC stack, offering AI-specific risk libraries, automated documentation from code, and AI agents that handle repetitive compliance tasks.
It's your choice: Keep your existing tool as the central source of truth and use trail to automate workflows in the background (like some of our customers do), or use trail as a standalone platform.