RegScale RegML AI agents (RegScale CCM) vs Vulcan Justinian (AI agent for government legal, regulatory and permitting work; VulcanGov)
RegScale RegML AI agents (RegScale CCM) (RegScale) and Vulcan Justinian (AI agent for government legal, regulatory and permitting work; VulcanGov) (Vulcan Technologies (Vulcan Technologies, Inc.)) are both listed in the Compliance category of Agent Index. Both are tagged for TX-RAMP in our dataset. Only RegScale RegML AI agents (RegScale CCM) is tagged for FedRAMP, CMMC.
| Field |  RegScale RegML AI agents (RegScale CCM) |  Vulcan Justinian (AI agent for government legal, regulatory and permitting work; VulcanGov) |
|---|---|---|
| Vendor | RegScale | Vulcan Technologies (Vulcan Technologies, Inc.) |
| HQ | United States · North America | United States · North America |
| Primary category | Compliance | Compliance |
| Also listed in | Compliance, Risk | Compliance, Business operations |
| 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. | AI agent for US government knowledge workers, grounded in a large corpus of federal and state statutes, regulations, court cases and fiscal data. It runs 50-state research in parallel with citations, monitors legal changes, reviews permit applications against the code, drafts memos and comment responses, and builds internal tools inside the agency boundary. |
| Framework tags (Agent Index) | FedRAMP, TX-RAMP, CMMC | TX-RAMP |
| FedRAMP (Marketplace, listing scope) | RegScale CCM · FedRAMP Authorized · FR2414158717 · High · authorized 2025-06-24 | VulcanGov · FedRAMP Ready · FR2619254906 · Moderate · authorized 2026-06-09 |
| Frameworks (vendor-claimed) | FedRAMP, CMMC, NIST SP 800-53, NIST SP 800-171, ISO 27001, SOC 2 | FedRAMP Ready |
| Capabilities / tasks | control monitoring, evidence collection, remediation, gap analysis, government compliance | government compliance, policy management, workflow automation, agentic ops |
| Pricing (as published) | Not published | Not published |
| Pricing model | quote | quote |
| Primary source | https://regscale.com/ai-driven-compliance-automation-with-regml/ | https://vulcan.ai/justinian |
| Last checked | 2026-10-18 | 2026-10-18 |
| Official site | https://regscale.com/ai-driven-compliance-automation-with-regml/ | https://vulcan.ai/justinian |
Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.
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 Vulcan Justinian (AI agent for government legal, regulatory and permitting work; VulcanGov). Open a pair page or the use-case table — this is not a ranking.
- CLEAR Investigate (agentic AI investigations for government, risk and fraud teams) — Agentic investigation tool built on Thomson Reuters CLEAR public-records data. From a plain-language question it plans and runs searches across CLEAR data and the open web, resolves conflicting records and returns concise cited findings with a record of the searches it ran, for AML, fraud, program-integrity and law-enforcement investigators.
Use-case comparisons
- US public-sector and FedRAMP AI agents — 24 listings (US government, FedRAMP and public-sector compliance or security operations)
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