IntelliGRC Evan and Alfie AI agents vs noze DataGovern (on-premise compliance agents for NIS2, GDPR and the AI Act)
IntelliGRC Evan and Alfie AI agents (IntelliGRC) and noze DataGovern (on-premise compliance agents for NIS2, GDPR and the AI Act) (noze (noze S.r.l.)) are both listed in the Compliance category of Agent Index. They share no framework tags in our dataset. Only IntelliGRC Evan and Alfie AI agents is tagged for FedRAMP, SOC 2, ISO 27001, CMMC.
| Field |  IntelliGRC Evan and Alfie AI agents |  noze DataGovern (on-premise compliance agents for NIS2, GDPR and the AI Act) |
|---|---|---|
| Vendor | IntelliGRC | noze (noze S.r.l.) |
| HQ | United States · North America | Italy · Europe |
| Primary category | Compliance | Compliance |
| Also listed in | Compliance | Compliance, Risk |
| Summary | CMMC- and NIST 800-171-focused GRC platform whose AI agents auto-map evidence to assessment objectives (Evan) and run automated control gap assessments with remediation steps (Alfie); FedRAMP 20x Low authorized. | 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. |
| Framework tags (Agent Index) | FedRAMP, SOC 2, ISO 27001, CMMC | — |
| FedRAMP (Marketplace, listing scope) | IntelliGRC · FedRAMP Authorized · FR2605341343 · 20x Low · authorized 2025-12-05 | — |
| Frameworks (vendor-claimed) | CMMC, NIST SP 800-171, NIST SP 800-53, SOC 2, ISO 27001, HIPAA, CJIS, NIST CSF, CIS Controls | NIS2, GDPR, EU AI Act, EU Cyber Resilience Act, DORA |
| Capabilities / tasks | evidence collection, gap analysis, control mapping, government compliance | gap analysis, control mapping, evidence collection, ai governance, privacy management |
| Pricing (as published) | Not published | Not published (starts with an audit, then an annual licence) |
| Pricing model | quote | quote |
| Primary source | https://intelligrc.com/insights/blog/introducing-evan-and-alfie/ | https://www.noze.it/prodotti/datagovern/ |
| Last checked | 2026-10-18 | 2026-10-19 |
| Official site | https://intelligrc.com/insights/blog/introducing-evan-and-alfie/ | https://www.noze.it/prodotti/datagovern/ |
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 IntelliGRC Evan and Alfie AI agents or noze DataGovern (on-premise compliance agents for NIS2, GDPR and the AI Act). Open a pair page or the use-case table — this is not a ranking.
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- 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
- Mindlapse Ernest (agentic Cyber-GRC: compliance, third-party and risk agents) — 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. · Mindlapse Ernest (agentic Cyber-GRC: compliance, third-party and risk agents) pair comparison
- Optivalue.ai questionnaire agents (security questionnaires, TISAX and third-party collection) — French platform whose agents answer incoming security questionnaires, TISAX catalogues, DDQs and tenders from the customer's own evidence with document, page and version on every answer, score and gap-check the result and draft missing documents with the team before named sign-off, while its Reach product sends questionnaires to suppliers and chases non-responders automatically.
- 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)
- AI governance agents and platforms — 9 listings (AI inventory, risk assessment, policy and runtime controls for AI systems and agents)
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