Mindlapse Ernest (agentic Cyber-GRC: compliance, third-party and risk agents) vs RegScale RegML AI agents (RegScale CCM)
Mindlapse Ernest (agentic Cyber-GRC: compliance, third-party and risk agents) (Mindlapse (Mindlapse SAS)) and RegScale RegML AI agents (RegScale CCM) (RegScale) 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.
| Field |  Mindlapse Ernest (agentic Cyber-GRC: compliance, third-party and risk agents) |  RegScale RegML AI agents (RegScale CCM) |
|---|---|---|
| Vendor | Mindlapse (Mindlapse SAS) | RegScale |
| HQ | France · Europe | United States · North America |
| Primary category | Compliance | Compliance |
| Also listed in | Compliance, Risk | Compliance, Risk |
| Summary | French agentic Cyber-GRC operating system whose Ernest engine runs separate planner, collector, adjudicator and writer agents to verify every governance claim (from policies, control owners or vendors) against evidence, connector signals and a cyber knowledge graph, returning sourced verdicts with confidence that are re-checked continuously and accepted or rejected by a human. | 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. |
| Framework tags (Agent Index) | — | FedRAMP, TX-RAMP, CMMC |
| FedRAMP (Marketplace, listing scope) | — | RegScale CCM · FedRAMP Authorized · FR2414158717 · High · authorized 2025-06-24 |
| Frameworks (vendor-claimed) | NIS2, DORA, EU Cyber Resilience Act, EU AI Act | FedRAMP, CMMC, NIST SP 800-53, NIST SP 800-171, ISO 27001, SOC 2 |
| Capabilities / tasks | control monitoring, evidence collection, control mapping, vendor risk, risk assessment | control monitoring, evidence collection, remediation, gap analysis, government compliance |
| Pricing (as published) | Not published | Not published |
| Pricing model | quote | quote |
| Primary source | https://www.mindlapse.ai/platform/ernest/ | https://regscale.com/ai-driven-compliance-automation-with-regml/ |
| Last checked | 2026-10-19 | 2026-10-18 |
| Official site | https://www.mindlapse.ai/platform/ernest/ | https://regscale.com/ai-driven-compliance-automation-with-regml/ |
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 Mindlapse Ernest (agentic Cyber-GRC: compliance, third-party and risk agents) or RegScale RegML AI agents (RegScale CCM). Open a pair page or the use-case table — this is not a ranking.
- C1 Autonomous Worker and C1 Agents (identity governance AI agent, formerly ConductorOne) — Governed AI agent on C1's identity platform that carries out identity work end to end from a plain-language request (revoking stale admin grants, building access reviews, assembling audit evidence on who reached production, finding orphaned entitlement owners), acting only within the operator's own permissions and logging every action.
- 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.
- Data Adhikaar DPDPA agents (ten-agent compliance fabric) — India DPDP Act compliance platform run by ten scoped agents for data discovery and RoPA, consent, data principal rights requests, breach response, DPIAs, regulatory intelligence, policy drafting, processor risk and audit evidence, with human approval gates for Board notifications, policy publication and severity downgrades.
- KaitoSec AI agents (agentic ISMS and GRC platform) — German agentic GRC/ISMS platform whose agents import and map existing registers and documents, check them against the method (e.g. BSI IT-Grundschutz), turn gaps into owned tasks, propose risk ratings and controls, assign evidence, prepare audit answers and reassess risks when a record changes, with no change taking effect without human approval. · KaitoSec AI agents (agentic ISMS and GRC platform) pair comparison
- noze DataGovern (on-premise compliance agents for NIS2, GDPR and the AI Act) — Italian on-premise platform whose AI agents read company documents and procedures, map them to NIS2, GDPR, AI Act, CRA and DORA obligations, flag gaps and risks with the source linked, and pre-fill registers, evidence and one remediation plan; a person approves every proposal and each confirmed gap becomes an owned task. · noze DataGovern (on-premise compliance agents for NIS2, GDPR and the AI Act) pair comparison
- Vulcan Justinian (AI agent for government legal, regulatory and permitting work; VulcanGov) — 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. · Vulcan Justinian (AI agent for government legal, regulatory and permitting work; VulcanGov) pair comparison
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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