Hyperproof vs RegScale RegML AI agents (RegScale CCM)
Quick answer
Hyperproof (Hyperproof) 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.
Hyperproof (Hyperproof) 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 Hyperproof is tagged for SOC 2, ISO 27001, HIPAA. Only RegScale RegML AI agents (RegScale CCM) is tagged for FedRAMP, TX-RAMP, CMMC.
| Field |  Hyperproof |  RegScale RegML AI agents (RegScale CCM) |
|---|---|---|
| Vendor | Hyperproof | RegScale |
| HQ | United States · North America | United States · North America |
| Primary category | Compliance | Compliance |
| Also listed in | Compliance, Risk | Compliance, Risk |
| Summary | AI-powered GRC platform for program management, evidence, audits and multi-framework compliance. | 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) | SOC 2, ISO 27001, HIPAA | FedRAMP, TX-RAMP, CMMC |
| FedRAMP (Marketplace, listing scope) | — | RegScale CCM · FedRAMP Authorized · FR2414158717 · High · authorized 2025-06-24 |
| Frameworks (vendor-claimed) | SOC 2, ISO 27001, NIST, HIPAA, PCI | FedRAMP, CMMC, NIST SP 800-53, NIST SP 800-171, ISO 27001, SOC 2 |
| Capabilities / tasks | evidence collection, audit management, control mapping | control monitoring, evidence collection, remediation, gap analysis, government compliance |
| Integrations (vendor-listed) | AWS, Azure, Jira | Not recorded in this dataset yet |
| Pricing (as published) | Not verified | Not published |
| Pricing model | quote | quote |
| Primary source | https://hyperproof.io/product/ | https://regscale.com/ai-driven-compliance-automation-with-regml/ |
| Last checked | 2026-10-20 | 2026-10-18 |
| Official site | https://hyperproof.io/ | https://regscale.com/ai-driven-compliance-automation-with-regml/ |
FAQ (from this dataset)
What is the difference between Hyperproof and RegScale RegML AI agents?
Both are listed under Compliance. Shared tasks: evidence-collection. Hyperproof-only tasks: audit-management, control-mapping. RegScale RegML AI agents-only tasks: control-monitoring, remediation, gap-analysis, government-compliance. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
Hyperproof: Not published RegScale RegML AI agents (RegScale CCM): Not published
Where are Hyperproof and RegScale RegML AI agents headquartered?
Hyperproof publishes HQ in United States. 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 Hyperproof or RegScale RegML AI agents (RegScale CCM). 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.
- 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
- US public-sector and FedRAMP AI agents — 25 listings (US government, FedRAMP and public-sector compliance or security operations)
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