Adeptiv AI vs Modulos AI
Two purpose-built AI governance platforms. Distinct architectures, distinct governance philosophies. This analysis supports informed procurement decisions across lifecycle governance, risk quantification, compliance, and runtime monitoring.
Modulos AI
Modulos AI
Adeptiv AI
Unified operational AI lifecycle governance — from discovery and inventory through risk, compliance, real-time monitoring, and audit readiness.
Modulos AI
GRC-first Governance Graph — one control satisfies multiple frameworks simultaneously, powered by AI agents that compress compliance workloads.
Capability-by-capability breakdown
Verified against publicly available platform documentation
| Capability | Adeptiv AI | Modulos AI | Advantage |
|---|---|---|---|
| Governance Model | Integrated lifecycle — inventory → risk → compliance → real-time monitoring in one workflow | Governance Graph — frameworks, requirements, controls, and evidence in one connected structure | Context-dep. |
| AI Inventory | Dedicated module with risk classifications, regulatory obligations, and lifecycle status by business unit | Project & org dashboards with lifecycle stage tracking and ownership workflows | Both Strong |
| Shadow AI Detection | Unregistered systems discovered within broader lifecycle governance workflow | Dedicated module covering 6 detection surfaces — SaaS-embedded AI, autonomous agents, convenience bypass | Both Strong |
| Risk Quantification | Qualitative classifications mapped to regulatory obligations | Monetary exposure (EUR/CHF/USD) via Monte Carlo simulation; probability distributions, not point estimates | ✦ Modulos |
| Framework Coverage | 38+ regulations incl. BFSI and healthcare sector-specific frameworks | 14+ pre-built frameworks — EU AI Act, ISO 42001, NIST AI RMF, GDPR, NIS2, DORA, ISO 27001 | ✦ Adeptiv AI |
| Multi-Framework Efficiency | Compliance mapping across 38+ regulations within integrated platform | Governance Graph: one control satisfies multiple frameworks simultaneously — eliminates duplicate work | ✦ Modulos |
| Real-Time Monitoring | Dedicated monitoring across 30+ production metrics with continuous risk detection | Continuous Runtime Inspection™ — results feed compliance controls; model behavior tracked against policies | ✦ Adeptiv AI |
| AI Agent Suite | Risk assessment and compliance workflow automation within integrated platform | Scout, Control Assessment Agent (2–4 hrs → 5 min), Evidence Agent (15–30 min → 2 min), Risk Agent | ✦ Modulos |
| BFSI Readiness | Dedicated BFSI use cases — credit risk, investment research AI; EU AI Act Annex III; regulatory examination documentation | DORA and NIS2 integration; monetary risk quantification applicable to financial risk reporting | Both Strong |
| Certifications | Enterprise-grade platform | ISO/IEC 42001:2023 certified · SOC 2 Type II · EU AI Pact signatory | ✦ Modulos |
| Multi-Jurisdictional | 38+ regulation coverage for multinational organizations spanning multiple geographies | EU-first but multi-framework; strong for organizations across ISO, NIST, and EU regulatory ecosystems | ✦ Adeptiv AI |
Where the platforms diverge most
Six capability areas where architectural differences carry meaningful strategic implications for enterprise procurement teams.
Risk Assessment & Quantification
Qualitative vs. Financial Risk Framing- Gap analysis integrated into compliance workflow
- Qualitative classifications mapped to regulatory obligations
- Risk informs documentation and monitoring priorities
- Monetary exposure (EUR/CHF/USD) via Monte Carlo simulation
- Risk appetite limits with automated threshold alerts
- Risk Agent automates Fermi estimation with full audit trail
Compliance & Multi-Framework Efficiency
Regulatory Breadth vs. Architectural Efficiency- 38+ global regulations including BFSI and healthcare frameworks
- Automated compliance mapping generates audit-ready reports
- Designed for complex multi-jurisdictional obligation profiles
- Governance Graph: one control satisfies EU AI Act + ISO 42001 + NIST + NIS2 + DORA simultaneously
- Control Assessment Agent: 2–4 hours → ~5 minutes per control
- 14+ pre-built framework mappings with version pinning
Runtime Monitoring & Observability
Operational Breadth vs. Compliance-Linked Monitoring- Dedicated real-time monitoring across 30+ production metrics
- Continuous risk detection in regulated deployments
- Broader operational observability for traditionally deployed models
- Continuous Runtime Inspection™ — test results link directly to compliance controls
- Control owners notified on test failure; compliance posture updates in real time
- Drift quantified in monetary exposure and linked to control notifications
GRC Automation & AI Agents
Integrated Workflow vs. Dedicated Agent Suite- Governance co-pilot model embeds automation within operational tasks
- Workflow automation reduces manual steps in documentation and reporting
- Scout: compliance Q&A across GitHub, Confluence, Jira, Drive
- Control Assessment Agent: ~5 min vs. 2–4 hrs per control
- Evidence Agent: ~2 min vs. 15–30 min per document; all outputs require human review
Shadow AI Detection & Governance
Integrated Discovery vs. Dedicated Detection Framework- AI inventory discovery encompasses unregistered systems
- Discovery integrated within lifecycle governance workflow
- Dedicated module covering 6 detection surfaces
- Covers SaaS-embedded AI (~70% of interactions by 2026), autonomous agents, senior-level defiant usage
- Detection signals mapped to EU AI Act, ISO 42001, NIS2, DORA
Audit Readiness & Evidence Architecture
Examination Defensibility vs. Evidence Architecture- Audit-ready reports designed for regulatory examination defensibility
- Documentation covers full evidence chain across 38+ frameworks
- BFSI-focused for financial regulator scrutiny
- Immutable evidence browser with version control and full audit trail
- Controls lock on execution; reopening requires explicit justification
- On-demand PDF audit packages; Evidence Agent auto-generates metadata
Framework coverage matrix
Verified against publicly available documentation. Confirm specific coverage with each vendor before procurement decisions.
| Framework | Adeptiv AI | Modulos AI |
|---|---|---|
| EU AI Act | ✓ Confirmed — incl. Annex III BFSI use cases | ✓ Confirmed — pre-built mappings, runtime compliance |
| ISO 42001 | ✓ Confirmed | ✓ Confirmed — ISO/IEC 42001:2023 certified organization |
| NIST AI RMF | ✓ Confirmed | ✓ Confirmed — pre-built framework mapping |
| GDPR | ✓ Confirmed | ✓ Confirmed — pre-built mapping |
| DORA | ~ Verify with vendor | ✓ Confirmed — pre-built framework mapping |
| NIS2 | ~ Verify with vendor | ✓ Confirmed — pre-built framework mapping |
| OECD AI Principles | ✓ Confirmed | ~ Not listed as primary framework |
| ISO 27001 | ~ Verify with vendor | ✓ Confirmed — pre-built mapping |
| Sector-Specific Banking & Resilience (DORA) | ✓ Confirmed — dedicated BFSI regulatory coverage | ~ Covered via DORA/EU AI Act; verify depth |
| Healthcare AI (WHO Guidelines & CA SB 1120 / AB 3030) | ✓ Confirmed — dedicated healthcare use cases | ~ Verify with vendor |
Which platform fits which operational environment?
Regulatory depth, operational risk, and audit expectations differ materially across sectors. This is platform fit analysis.
Banking & Financial Services
Overlapping AI, ICT, and risk reporting obligations under regulatory examination
Dedicated BFSI use cases — credit risk governance, investment research AI under EU AI Act Annex III. Audit-ready documentation for the Digital Operational Resilience Act (DORA), the Data Protection Act 2023, and national banking regulators across multiple jurisdictions.
DORA + NIS2 + EU AI Act integrated natively. Monetary quantification aligns with financial risk reporting standards. Risk appetite frameworks map to board-level AI governance requirements.
Healthcare
Clinical AI explainability, performance drift detection, and unsanctioned tool adoption
Documented EHR and patient summary AI use cases. Real-time monitoring detects performance drift in patient-facing applications. Governance for safe, explainable, auditable clinical AI.
Monetary quantification applicable where risk magnitude must be expressed for clinical risk committees. Shadow AI governance directly relevant in healthcare where unsanctioned tool adoption is widespread.
Manufacturing & Aviation
Safety-critical AI with multi-jurisdictional obligations and immediate operational consequence
Real-time monitoring critical where performance degradation has safety implications. Multi-jurisdiction coverage for global manufacturing operations.
ISO 42001 certification aligns with industrial quality management cultures. Monetary quantification supports risk prioritization against operational budget and safety investment decisions.
Insurance
Actuarial AI governance, underwriting model oversight, and cross-jurisdictional compliance
Covers underwriting, claims automation, and fraud detection. Audit-ready documentation for insurance regulatory examinations. 38+ regulations for multinational insurers.
Monetary quantification directly applicable to actuarial systems. DORA + EU AI Act for European insurers. Risk appetite frameworks align to underwriting risk tolerance standards.
Telecommunications & Utilities
AI embedded in critical infrastructure with NIS2 cybersecurity governance overlap
Multi-jurisdiction compliance coverage for telecoms across national regulatory environments. Real-time monitoring for AI systems embedded in network operations.
NIS2 integration directly relevant for critical infrastructure operators. Shadow AI detection addresses unsanctioned adoption in large operational workforces.
Enterprise SaaS & Technology
Governance velocity to match rapid product development cycles
AI lifecycle governance for SaaS organizations building or deploying AI. Real-time monitoring for production AI features. 38+ regulations for vendors serving multiple regulated industries.
GRC agent automation matches development velocity. Developer-friendly integrations with GitHub, Jira, and Confluence. Scout's evidence search across code repositories addresses software development evidence needs.
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Frequently Asked Questions
Questions frequently raised by CIOs, CISOs, and compliance leaders during AI governance platform evaluation.
Modulos AI is built around a Governance Graph — frameworks, requirements, controls, and evidence connected in one structured data model. The architecture prioritizes GRC efficiency: one control satisfying multiple frameworks simultaneously, automated by AI agents that compress control assessment and evidence processing.
One optimizes for lifecycle governance breadth and regulatory coverage depth. The other optimizes for GRC efficiency and quantitative risk reporting velocity.
The key differentiation: if EU AI Act compliance sits alongside broader multi-jurisdictional obligations (BFSI or healthcare regulations beyond the EU), Adeptiv's regulatory breadth is advantageous. If EU AI Act sits within a cluster of overlapping EU obligations — NIS2, DORA, GDPR, ISO 42001 — Modulos's Governance Graph eliminates duplicate implementation work.
Modulos AI covers DORA and NIS2 alongside EU AI Act — directly relevant for EU financial institutions with overlapping ICT and AI regulatory obligations. Monetary risk quantification aligns naturally with financial risk management reporting standards.
If regulatory examination readiness from financial regulators is the priority, Adeptiv's BFSI focus is a clear advantage. If managing overlapping EU financial obligations with quantitative risk reporting is the priority, Modulos's architecture is more directly applicable.
Adeptiv AI uses gap analysis-based risk assessment integrated into the governance workflow, with risk classifications tied to regulatory obligations and lifecycle status. This approach serves compliance-led organizations where risk assessment primarily informs documentation and audit readiness rather than financial risk reporting to boards or risk committees.
Adeptiv AI includes organization-wide AI inventory discovery that encompasses unregistered systems within the broader lifecycle governance workflow. Where shadow AI detection is the primary governance concern, Modulos's more explicit multi-surface framework is purpose-designed for that specific problem.
Modulos AI is stronger for organizations managing overlapping EU-centric or international framework clusters — EU AI Act + ISO 42001 + NIST AI RMF + NIS2 + DORA. The Governance Graph is specifically designed to eliminate duplicate implementation work, making compliance a natural byproduct of a single control implementation rather than a parallel workstream for each framework.