OnFinance AI Maxwell vs RegScale RegML AI agents
Quick answer
OnFinance AI Maxwell (open-source cybersecurity and compliance agent for Indian BFSI) (OnFinance AI (Mindweave Transformers Private Limited, Bengaluru)) 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.
This is not a ranking.
OnFinance AI Maxwell (open-source cybersecurity and compliance agent for Indian BFSI) (OnFinance AI (Mindweave Transformers Private Limited, Bengaluru)) 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 OnFinance AI Maxwell (open-source cybersecurity and compliance agent for Indian BFSI) is tagged for CERT-In, DPDP. Only RegScale RegML AI agents (RegScale CCM) is tagged for FedRAMP, TX-RAMP, CMMC.
| Field |  OnFinance AI Maxwell (open-source cybersecurity and compliance agent for Indian BFSI) |  RegScale RegML AI agents (RegScale CCM) |
|---|---|---|
| Vendor | OnFinance AI (Mindweave Transformers Private Limited, Bengaluru) | RegScale |
| HQ | India · India | United States · North America |
| Primary category | Compliance | Compliance |
| Also listed in | Compliance, Security | Compliance, Risk |
| Summary | Free, self-hosted, open-source (AGPL-3.0) agent from India's OnFinance AI for banks, brokers, NBFCs, AMCs, insurers and fintechs. It runs 26 workflows of specialist agents that keep a company's regulatory profile current, probe repositories, infrastructure and vendors for gaps against SEBI, RBI, IRDAI, CERT-In and DPDP controls, and write findings (each citing a specific clause), remediation plans and audit reports into a validated, append-only ledger for human review. | 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. |
| Frameworks (vendor-stated) | CERT-In, DPDP | FedRAMP, TX-RAMP, CMMC |
| 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 |
| Capabilities / tasks | compliance posture, control monitoring, evidence collection, vendor risk, remediation, audit management | control monitoring, evidence collection, remediation, gap analysis, government compliance |
| Pricing (as published) | Free and open source (AGPL-3.0, github.com/OnFinance/Maxwell); you pay only for your own AI model usage. OnFinance's separate ComplianceOS platform pricing is not part of this listing. | Not published |
| Pricing model | freemium | quote |
| Primary source | https://github.com/OnFinance/Maxwell | https://regscale.com/ai-driven-compliance-automation-with-regml/ |
| Last checked | 2026-10-20 | 2026-10-18 |
| Official site | https://github.com/OnFinance/Maxwell | https://regscale.com/ai-driven-compliance-automation-with-regml/ |
FAQ (from this dataset)
What is the difference between OnFinance AI Maxwell and RegScale RegML AI agents?
Both are listed under Compliance. Shared tasks: control-monitoring, evidence-collection, remediation. OnFinance AI Maxwell-only tasks: compliance-posture, vendor-risk, audit-management. RegScale RegML AI agents-only tasks: gap-analysis, government-compliance. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
OnFinance AI Maxwell (open-source cybersecurity and compliance agent for Indian BFSI): Free and open source (AGPL-3.0, github.com/OnFinance/Maxwell); you pay only for your own AI model usage. OnFinance's separate ComplianceOS platform pricing is not part of this listing. RegScale RegML AI agents (RegScale CCM): Not published
Where are OnFinance AI Maxwell and RegScale RegML AI agents headquartered?
OnFinance AI Maxwell (open-source cybersecurity and compliance agent for Indian BFSI) publishes HQ in India. RegScale RegML AI agents (RegScale CCM) publishes HQ in United States.
Also in this use case
Other verified listings that share a task tag or use-case group with OnFinance AI Maxwell (open-source cybersecurity and compliance agent for Indian BFSI) or RegScale RegML AI agents (RegScale CCM). Open a pair page or the use-case table — this is not a ranking.
- Amnify security agents (agent-driven code audit, AI pentesting, PR review and autofix pull requests) — German AppSec product from Düsseldorf: a team of agents audits repositories (SAST, secrets, SCA, IaC, CI/CD) and cloud accounts, triages signals so only confirmed findings surface, pentests running apps inside a verified scope with a separate agent reproducing every finding, reviews pull requests with a merge-blocking status check, and opens fix pull requests that run your tests but never merge themselves.
- 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.
- trail Governance Agents (GRC and AI governance agents) — 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. · trail Governance Agents (GRC and AI governance agents) pair comparison
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)
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