Hybridity compliance execution platform agents vs Modulos AI governance agents
Quick answer
Hybridity compliance execution platform agents (policy-to-control registry, scheduled evidence and batch contract checks) (Hybridity (Hybridity AB)) and Modulos AI governance agents (Scout, Risk Agent, Control Assessment Agent) (Modulos) are both listed in the Compliance category of Agent Index.
They share no framework tags in our dataset.
This is not a ranking.
Hybridity compliance execution platform agents (policy-to-control registry, scheduled evidence and batch contract checks) (Hybridity (Hybridity AB)) and Modulos AI governance agents (Scout, Risk Agent, Control Assessment Agent) (Modulos) are both listed in the Compliance category of Agent Index. They share no framework tags in our dataset. Only Hybridity compliance execution platform agents (policy-to-control registry, scheduled evidence and batch contract checks) is tagged for DORA.
| Field | ||
|---|---|---|
| Vendor | Hybridity (Hybridity AB) | Modulos |
| HQ | Sweden · Europe | Switzerland · Europe |
| Primary category | Compliance | Compliance |
| Also listed in | Compliance | Compliance, Risk |
| Summary | Swedish compliance execution platform for regulated firms that turns a company's own policies into a requirement registry, checks it against DORA, NIS 2, GDPR or customer demands, and hands routine work to agents (contracts checked in batches, evidence collected on schedule, updates computed when a rule changes), with a person approving every result. | 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. |
| Frameworks (vendor-stated) | DORA | — |
| Frameworks (vendor-claimed) | DORA, NIS2, GDPR, ISO 27001 (vendor's own certification) | EU AI Act, ISO/IEC 42001 |
| Capabilities / tasks | gap analysis, control mapping, evidence collection, policy management, contract review | ai governance, risk assessment, control testing, evidence collection |
| Pricing (as published) | Not published | Not published |
| Pricing model | quote | quote |
| Primary source | https://www.hybridity.ai/platform | https://www.modulos.ai/modulos-ai-governance-platform/agents |
| Last checked | 2026-10-19 | 2026-10-18 |
| Official site | https://www.hybridity.ai/platform | https://www.modulos.ai/modulos-ai-governance-platform/agents |
FAQ (from this dataset)
What is the difference between Hybridity compliance execution platform agents and Modulos AI governance agents?
Both are listed under Compliance. Shared tasks: evidence-collection. Hybridity compliance execution platform agents-only tasks: gap-analysis, control-mapping, policy-management, contract-review. Modulos AI governance agents-only tasks: ai-governance, risk-assessment, control-testing. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
Hybridity compliance execution platform agents (policy-to-control registry, scheduled evidence and batch contract checks): Not published Modulos AI governance agents (Scout, Risk Agent, Control Assessment Agent): Not published
Where are Hybridity compliance execution platform agents and Modulos AI governance agents headquartered?
Hybridity compliance execution platform agents (policy-to-control registry, scheduled evidence and batch contract checks) publishes HQ in Sweden. Modulos AI governance agents (Scout, Risk Agent, Control Assessment Agent) publishes HQ in Switzerland.
Also in this use case
Other verified listings that share a task tag or use-case group with Hybridity compliance execution platform agents (policy-to-control registry, scheduled evidence and batch contract checks) or Modulos AI governance agents (Scout, Risk Agent, Control Assessment Agent). Open a pair page or the use-case table — this is not a ranking.
- ClearContract contract agents (intake, review and deadline-monitoring agents that file, risk-check and watch incoming contracts) — Contract-management platform from Aarhus-based ClearContract ApS built around AI agents that work in the background. Contracts arriving by email are picked up by an intake agent that files them, extracts key terms and assigns the counterparty; a review agent checks each one against the company's own checklist, flags risks with clause citations and creates tasks; agents also watch renewals and deadlines. Nothing is signed, sent or committed without human approval.
- 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
- Contract and legal-review AI agents — 33 listings (Contract review, drafting assistance and legal workflow automation)
- AI governance agents and platforms — 11 listings (AI inventory, risk assessment, policy and runtime controls for AI systems and agents)
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