MineOS Mira AI vs Optro (formerly AuditBoard)
MineOS Mira AI (MineOS (Mine)) and Optro (formerly AuditBoard) (Optro, Inc. (formerly AuditBoard)) are both listed in the Compliance category of Agent Index. They share no framework tags in our dataset. Only Optro (formerly AuditBoard) is tagged for SOC 2, ISO 27001.
| Field | ||
|---|---|---|
| Vendor | MineOS (Mine) | Optro, Inc. (formerly AuditBoard) |
| HQ | Israel · Middle East | United States · North America |
| Primary category | Compliance | Compliance |
| Also listed in | Compliance, Risk | Compliance, Risk |
| Summary | Autonomous AI agents for privacy, vendor risk and AI governance: discovery, DSR fulfilment, cross-border transfer checks, assessment autofill and AI-agent posture profiles. | AI-powered GRC Intelligence Platform (formerly AuditBoard) with domain-trained agents for audit testing, compliance, third-party risk and AI governance. |
| Framework tags (Agent Index) | — | SOC 2, ISO 27001 |
| Frameworks (vendor-claimed) | GDPR, CCPA/CPRA, EU AI Act, LGPD, PIPL | SOX, SOC 2, ISO 27001, NIST |
| Capabilities / tasks | privacy management, dsr automation, data discovery, vendor risk, ai governance | grc intelligence, risk management, control testing, audit management, vendor risk, ai governance |
| Pricing (as published) | Not published | Not verified |
| Pricing model | quote | quote |
| Primary source | https://www.mineos.ai/mira-ai | https://www.prnewswire.com/news-releases/optro-launches-domain-trained-agents-for-audit-compliance-third-party-risk-and-ai-governance-302907924.html |
| Last checked | 2026-10-18 | 2026-10-16 |
| Official site | https://www.mineos.ai/mira-ai | https://optro.ai/ |
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 MineOS Mira AI or Optro (formerly AuditBoard). Open a pair page or the use-case table — this is not a ranking.
- Anecdotes Agentic GRC (Agent Library and Agent Studio) — Enterprise GRC platform with built-in agents for evidence analysis, control assessment, risk enrichment and findings extraction, plus an Agent Studio for custom GRC agents and agentic TPRM. · Anecdotes Agentic GRC (Agent Library and Agent Studio) pair comparison
- Black Kite AI Agent — Third-party cyber risk agent made of sub-agents (Assessment, Incident Response, Threat Actor Intelligence, Investigation, Prioritization, Procurement) that assess vendors, investigate exposures, trigger rescans and draft outreach.
- DataGrail Vera (AI privacy agent) — AI privacy agent built into DataGrail's privacy platform that autofills privacy and AI-risk assessments, classifies cookies, detects AI risk, suggests processing activities and troubleshoots DSR integration errors, acting only with user approval.
- Ketch Agent Network — Agent layer behind Ketch's privacy platform that self-populates data maps, runs always-on gap analysis between regulations, your commitments and live systems, and proposes reviewable configuration changes, DPIAs and RoPA exports.
- Modulos AI governance agents (Scout, Risk Agent, Control Assessment Agent) — AI governance platform whose agents discover AI systems, assess controls against evidence, quantify AI risk in euros and investigate changes on a schedule, while decisions on the record stay with your team. · Modulos AI governance agents (Scout, Risk Agent, Control Assessment Agent) pair comparison
- Privado Wren (AI privacy analyst agent) — AI privacy agent that runs privacy assessments end to end: it monitors tools like Jira, CLM and procurement for new activity, triggers the right PIA/DPIA/TIA/RoPA, researches risk, populates assessments with evidence and routes approvals.
- ProcessUnity TPRM AI Agents (Evidence Evaluator, Assessment Autofill) — Team of risk-informed AI agents for each stage of the third-party risk lifecycle, covering intake checks, evidence review, issues management and executive reporting, with the customer's team in control.
- Saidot — Agent-first AI governance platform: a knowledge graph of AI risks, controls and policies, an Agent Catalogue, and MCP servers that let customers' agents draft risk assessments. · Saidot pair comparison
- Whistic Automation Orchestrator (agentic assessments) — Agentic vendor-assessment workflow in which four agents (Initiator, Collector, Analyst, Reporter) start assessments, gather evidence, produce cited findings and route an executive summary for human approval.
Use-case comparisons
- Privacy operations AI agents — 4 listings (Privacy programme operations, DSRs, consent, data discovery and privacy assessments)
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