RegScale RegML AI agents vs trail Governance Agents
Quick answer
RegScale RegML AI agents (RegScale CCM) (RegScale) and trail Governance Agents (GRC and AI governance agents) (trail (trail GmbH, part of Collibra since Oct 2026)) are both listed in the Compliance category of Agent Index.
They share no framework tags in our dataset.
This is not a ranking.
RegScale RegML AI agents (RegScale CCM) (RegScale) and trail Governance Agents (GRC and AI governance agents) (trail (trail GmbH, part of Collibra since Oct 2026)) are both listed in the Compliance category of Agent Index. They share no framework tags in our dataset. Only RegScale RegML AI agents (RegScale CCM) is tagged for FedRAMP, TX-RAMP, CMMC. Only trail Governance Agents (GRC and AI governance agents) is tagged for EU AI Act, ISO 42001.
| Field |  RegScale RegML AI agents (RegScale CCM) |  trail Governance Agents (GRC and AI governance agents) |
|---|---|---|
| Vendor | RegScale | trail (trail GmbH, part of Collibra since Oct 2026) |
| HQ | United States · North America | Germany · Europe |
| Primary category | Compliance | Compliance |
| Also listed in | Compliance, Risk | Compliance, Risk |
| Summary | Continuous controls monitoring platform whose RegML AI agents monitor controls, collect evidence, draft control documentation and trigger remediation for FedRAMP, CMMC and NIST programmes; RegScale CCM is FedRAMP High authorized. | Munich-based trail's Governance Agents run GRC busywork in the background: they read your project files and sources to collect and link evidence, assess controls, classify systems, run risk and vendor assessments and draft policies, proposing changes that a human approves before anything is written. |
| Frameworks (vendor-stated) | FedRAMP, TX-RAMP, CMMC | EU AI Act, ISO 42001 |
| FedRAMP (Marketplace, listing scope) | RegScale CCM · FedRAMP Authorized · FR2414158717 · High · authorized 2025-06-24 | — |
| Frameworks (vendor-claimed) | FedRAMP, CMMC, NIST SP 800-53, NIST SP 800-171, ISO 27001, SOC 2 | EU AI Act, ISO 42001, NIST AI RMF |
| Capabilities / tasks | control monitoring, evidence collection, remediation, gap analysis, government compliance | evidence collection, control testing, risk assessment, vendor risk, policy management, gap analysis, questionnaire automation, ai governance, workflow automation |
| Integrations (vendor-listed) | Not recorded in this dataset yet | OneTrust, Collibra, ServiceNow, SAP LeanIX, Jira, Confluence, GitHub, GitLab, SharePoint, Notion, Databricks, MLflow |
| Pricing (as published) | Not published | Not published (demo request on trail-ml.com, checked 2026-10-26) |
| Pricing model | quote | quote |
| Primary source | https://regscale.com/ai-driven-compliance-automation-with-regml/ | https://www.trail-ml.com/agents |
| Last checked | 2026-10-18 | 2026-10-26 |
| Official site | https://regscale.com/ai-driven-compliance-automation-with-regml/ | https://www.trail-ml.com/agents |
FAQ (from this dataset)
What is the difference between RegScale RegML AI agents and trail Governance Agents?
Both are listed under Compliance. Shared tasks: evidence-collection, gap-analysis. RegScale RegML AI agents-only tasks: control-monitoring, remediation, government-compliance. trail Governance Agents-only tasks: control-testing, risk-assessment, vendor-risk, policy-management, questionnaire-automation, ai-governance, workflow-automation. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
RegScale RegML AI agents (RegScale CCM): Not published trail Governance Agents (GRC and AI governance agents): Not published (demo request on trail-ml.com, checked 2026-10-26)
Where are RegScale RegML AI agents and trail Governance Agents headquartered?
RegScale RegML AI agents (RegScale CCM) publishes HQ in United States. trail Governance Agents (GRC and AI governance agents) publishes HQ in Germany.
Also in this use case
Other verified listings that share a task tag or use-case group with RegScale RegML AI agents (RegScale CCM) or trail Governance Agents (GRC and AI governance agents). Open a pair page or the use-case table — this is not a ranking.
- Covasant TPRM (agentic third-party risk management) — Third-party risk product from Hyderabad-headquartered Covasant. Purpose-built AI agents onboard vendors through due-diligence workflows, chase vendors who are slow to respond, keep watching news, sanctions and financial data, and, when risk thresholds break, open remediation workflows, track vendor responses, escalate unresolved issues and produce DORA, SOX and NIST reporting packages.
- noze CyberAgent (AI agent for continuous attack-surface monitoring, automated validation pentesting and NIS2 evidence) — Italian agent for mid-sized companies and NIS2 entities without an in-house SOC: after verifying domain control it continuously discovers assets and assesses network, web apps and APIs, correlates findings with EPSS and CISA KEV, confirms exploitability with automated validation pentests, ranks risks by business impact and prepares NIS2, DORA and ISO 27001 reports; the team decides what to fix.
Use-case comparisons
- TPRM and vendor-risk AI agents — 40 listings (Third-party risk, vendor assessments, security ratings and questionnaire automation)
- US public-sector and FedRAMP AI agents — 25 listings (US government, FedRAMP and public-sector compliance or security operations)
- AI governance agents and platforms — 11 listings (AI inventory, risk assessment, policy and runtime controls for AI systems and agents)
- Security questionnaire AI agents — 10 listings (Inbound security questionnaires, SIG/CAIQ-style responses and questionnaire automation)
Related
- RegScale RegML AI agents (RegScale CCM) alternatives
- trail Governance Agents (GRC and AI governance agents) alternatives
- Best compliance AI agents
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