Six reworked + three new directions
The first six (V1, V2, V3, V5, V6, V7) replace the earlier Claude-y versions and now follow the de-claude-ified grammar from the open graphics-improvements PR: edge-to-edge rows separated by thin slate-200 rules, mono category codes in the gutter, no pastel pills, no rounded floaty cards. V8, V9, V10 are net-new.
V1 · Editorial radar
Single axis, real tick marks, no rounded gradient bars. Plotted nodes carry their level code; bodies live in an editorial flat list below.
- LV01LOW 1/5Naive
Employees use ChatGPT, Claude, and Gemini because no one told them not to. Roughly 25 to 30 percent of all shadow AI usage. Data leakage risk stays substantial even when intent is harmless.
Modulos directDetection: SaaS discovery - LV02MED 2/5Convenience
Enterprise Copilot exists, but staff default to consumer ChatGPT because it is faster. 30 to 35 percent of usage. Sensitive data leaves the corporate perimeter under different governance.
Modulos orchestratesDetection: DLP / data flow - LV03MED 3/5Defiant
Senior staff who know the policy and bypass it anyway. Leadership often the heaviest user. Training stops working. Only infrastructure enforcement plus regulatory urgency changes behaviour.
Modulos orchestratesDetection: SSE / CASB - LV04HIGH 4/5Embedded
Notion AI, Copilot in Excel, Zoom summaries, Grammarly were all approved before they added AI. The AI itself was never assessed. By 2026 ~70% of enterprise AI happens inside previously-approved SaaS.
Modulos orchestratesDetection: Embedded-AI SPM - LV05CRIT 5/5Agentic
Autonomous agents act on systems, data, and decisions at machine speed. 47 percent of enterprises report an agent security incident in the past year. CVE-2025-53773 showed how prompt injection could enable full system compromise.
Modulos with partnersDetection: Agent runtime trust - LV06HIGH 4/5Supply Chain
Your legal vendor summarises contracts with AI. Your CRM added AI insights. EU AI Act value-chain provisions, DORA, NIS2, and customer commitments turn these into governable risk regardless.
Modulos directDetection: TPRM
V2 · Severity ladder
Vertical thin meter on the left rule fills with severity. Right column reads like a journal byline: detection, Modulos code, prose.
- LV01LOW 1/5
Naive
“I didn't know there was a policy.”
Employees use ChatGPT, Claude, and Gemini because no one told them not to. Roughly 25 to 30 percent of all shadow AI usage. Data leakage risk stays substantial even when intent is harmless.
DetectionSaaS discoveryModulosDIREU AI Act Article 4 literacy training, policy management, intake form for declared use cases, and Scout discovery across GitHub, cloud, and Atlassian.
- LV02MED 2/5
Convenience
“The approved path is too slow.”
Enterprise Copilot exists, but staff default to consumer ChatGPT because it is faster. 30 to 35 percent of usage. Sensitive data leaves the corporate perimeter under different governance.
DetectionDLP / data flowModulosORCQuantifies the monetary risk of unapproved usage. Intake plus Scout analysis makes the approved path fast enough to compete with shadow usage.
- LV03MED 3/5
Defiant
“The policy is wrong.”
Senior staff who know the policy and bypass it anyway. Leadership often the heaviest user. Training stops working. Only infrastructure enforcement plus regulatory urgency changes behaviour.
DetectionSSE / CASBModulosORCRegulatory framing compliance officers need to escalate (EU AI Act fines, board liability) and an audit trail of override-with-justification events.
- LV04HIGH 4/5
Embedded
“The tool was approved. The AI inside it wasn't.”
Notion AI, Copilot in Excel, Zoom summaries, Grammarly were all approved before they added AI. The AI itself was never assessed. By 2026 ~70% of enterprise AI happens inside previously-approved SaaS.
DetectionEmbedded-AI SPMModulosORCEmbedded-AI signals feed into intake. Scout risk-classifies each newly-surfaced capability and re-maps controls without waiting for procurement.
- LV05CRIT 5/5
Agentic
“The agent was approved. Its actions weren't.”
Autonomous agents act on systems, data, and decisions at machine speed. 47 percent of enterprises report an agent security incident in the past year. CVE-2025-53773 showed how prompt injection could enable full system compromise.
DetectionAgent runtime trustModulosPRTAgent trust scores ingest as risk evidence. Modulos classifies agents under EU AI Act high-risk categories and continuously monitors them.
- LV06HIGH 4/5
Supply Chain
“Our vendor is using AI on our data.”
Your legal vendor summarises contracts with AI. Your CRM added AI insights. EU AI Act value-chain provisions, DORA, NIS2, and customer commitments turn these into governable risk regardless.
DetectionTPRMModulosDIRThird-party AI risk handled inside the same control framework. A single control satisfies obligations across the EU AI Act, ISO 42001, NIST AI RMF, NIS2, and DORA in parallel.
V3 · Reality / Modulos columns
No dark/light card split. Three editorial columns per row separated by thin rules: level meta, the reality, the Modulos response.
- LV01LOW 1/5
Naive
“I didn't know there was a policy.”
The realityEmployees use ChatGPT, Claude, and Gemini because no one told them not to. Roughly 25 to 30 percent of all shadow AI usage. Data leakage risk stays substantial even when intent is harmless.
Detection layer · Shadow-app surfacingModulos · DIREU AI Act Article 4 literacy training, policy management, intake form for declared use cases, and Scout discovery across GitHub, cloud, and Atlassian.
Regulatory · EU AI Act Art. 4 - LV02MED 2/5
Convenience
“The approved path is too slow.”
The realityEnterprise Copilot exists, but staff default to consumer ChatGPT because it is faster. 30 to 35 percent of usage. Sensitive data leaves the corporate perimeter under different governance.
Detection layer · DLP / data flowModulos · ORCQuantifies the monetary risk of unapproved usage. Intake plus Scout analysis makes the approved path fast enough to compete with shadow usage.
Regulatory · EU AI Act Art. 4 · GDPR - LV03MED 3/5
Defiant
“The policy is wrong.”
The realitySenior staff who know the policy and bypass it anyway. Leadership often the heaviest user. Training stops working. Only infrastructure enforcement plus regulatory urgency changes behaviour.
Detection layer · SSE / CASBModulos · ORCRegulatory framing compliance officers need to escalate (EU AI Act fines, board liability) and an audit trail of override-with-justification events.
Regulatory · EU AI Act fines · Board liability - LV04HIGH 4/5
Embedded
“The tool was approved. The AI inside it wasn't.”
The realityNotion AI, Copilot in Excel, Zoom summaries, Grammarly were all approved before they added AI. The AI itself was never assessed. By 2026 ~70% of enterprise AI happens inside previously-approved SaaS.
Detection layer · Embedded-AI SPMModulos · ORCEmbedded-AI signals feed into intake. Scout risk-classifies each newly-surfaced capability and re-maps controls without waiting for procurement.
Regulatory · EU AI Act Art. 50 · Annex III - LV05CRIT 5/5
Agentic
“The agent was approved. Its actions weren't.”
The realityAutonomous agents act on systems, data, and decisions at machine speed. 47 percent of enterprises report an agent security incident in the past year. CVE-2025-53773 showed how prompt injection could enable full system compromise.
Detection layer · Agent runtime trustModulos · PRTAgent trust scores ingest as risk evidence. Modulos classifies agents under EU AI Act high-risk categories and continuously monitors them.
Regulatory · EU AI Act high-risk · NIS2 - LV06HIGH 4/5
Supply Chain
“Our vendor is using AI on our data.”
The realityYour legal vendor summarises contracts with AI. Your CRM added AI insights. EU AI Act value-chain provisions, DORA, NIS2, and customer commitments turn these into governable risk regardless.
Detection layer · TPRMModulos · DIRThird-party AI risk handled inside the same control framework. A single control satisfies obligations across the EU AI Act, ISO 42001, NIST AI RMF, NIS2, and DORA in parallel.
Regulatory · EU AI Act value chain · DORA · NIS2
V5 · Dense data sheets
V3-C dense card grammar without the pastel pills. Each cell shows the hero metric, the level's short quote, body, and a small definition list of detection + Modulos role.
Naive
“I didn't know there was a policy.”
Employees use ChatGPT, Claude, and Gemini because no one told them not to. Roughly 25 to 30 percent of all shadow AI usage. Data leakage risk stays substantial even when intent is harmless.
- Detection
- SaaS discovery
- Modulos
- DIR · direct
Convenience
“The approved path is too slow.”
Enterprise Copilot exists, but staff default to consumer ChatGPT because it is faster. 30 to 35 percent of usage. Sensitive data leaves the corporate perimeter under different governance.
- Detection
- DLP / data flow
- Modulos
- ORC · orchestrates
Defiant
“The policy is wrong.”
Senior staff who know the policy and bypass it anyway. Leadership often the heaviest user. Training stops working. Only infrastructure enforcement plus regulatory urgency changes behaviour.
- Detection
- SSE / CASB
- Modulos
- ORC · orchestrates
Embedded
“The tool was approved. The AI inside it wasn't.”
Notion AI, Copilot in Excel, Zoom summaries, Grammarly were all approved before they added AI. The AI itself was never assessed. By 2026 ~70% of enterprise AI happens inside previously-approved SaaS.
- Detection
- Embedded-AI SPM
- Modulos
- ORC · orchestrates
Agentic
“The agent was approved. Its actions weren't.”
Autonomous agents act on systems, data, and decisions at machine speed. 47 percent of enterprises report an agent security incident in the past year. CVE-2025-53773 showed how prompt injection could enable full system compromise.
- Detection
- Agent runtime trust
- Modulos
- PRT · with partners
Supply Chain
“Our vendor is using AI on our data.”
Your legal vendor summarises contracts with AI. Your CRM added AI insights. EU AI Act value-chain provisions, DORA, NIS2, and customer commitments turn these into governable risk regardless.
- Detection
- TPRM
- Modulos
- DIR · direct
V6 · Compliance worksheet
Edge-to-edge worksheet, thin slate-200 rules between rows, tabular-nums everywhere. Designed to be scanned by a compliance officer, not a marketing buyer.
Employees use ChatGPT, Claude, and Gemini because no one told them not to. Roughly 25 to 30 percent of all shadow AI usage. Data leakage risk stays substantial even when intent is harmless.
Enterprise Copilot exists, but staff default to consumer ChatGPT because it is faster. 30 to 35 percent of usage. Sensitive data leaves the corporate perimeter under different governance.
Senior staff who know the policy and bypass it anyway. Leadership often the heaviest user. Training stops working. Only infrastructure enforcement plus regulatory urgency changes behaviour.
Notion AI, Copilot in Excel, Zoom summaries, Grammarly were all approved before they added AI. The AI itself was never assessed. By 2026 ~70% of enterprise AI happens inside previously-approved SaaS.
Autonomous agents act on systems, data, and decisions at machine speed. 47 percent of enterprises report an agent security incident in the past year. CVE-2025-53773 showed how prompt injection could enable full system compromise.
Your legal vendor summarises contracts with AI. Your CRM added AI insights. EU AI Act value-chain provisions, DORA, NIS2, and customer commitments turn these into governable risk regardless.
V7 · Architectural split rows
Three columns: level meta, detection (third-party), Modulos governance. Thin ticks under each side show coverage strength; visually proves the thesis without pastel pill noise.
Naive
“I didn't know there was a policy.”
Identity-aware SaaS discovery and shadow-app surfacing.
EU AI Act Article 4 literacy training, policy management, intake form for declared use cases, and Scout discovery across GitHub, cloud, and Atlassian.
Convenience
“The approved path is too slow.”
DLP and data-flow inspection at the perimeter.
Quantifies the monetary risk of unapproved usage. Intake plus Scout analysis makes the approved path fast enough to compete with shadow usage.
Defiant
“The policy is wrong.”
SSE and CASB with AI tool categorisation and network-level enforcement.
Regulatory framing compliance officers need to escalate (EU AI Act fines, board liability) and an audit trail of override-with-justification events.
Embedded
“The tool was approved. The AI inside it wasn't.”
Embedded-AI security posture management.
Embedded-AI signals feed into intake. Scout risk-classifies each newly-surfaced capability and re-maps controls without waiting for procurement.
Agentic
“The agent was approved. Its actions weren't.”
Agent trust scoring and runtime policy enforcement.
Agent trust scores ingest as risk evidence. Modulos classifies agents under EU AI Act high-risk categories and continuously monitors them.
Supply Chain
“Our vendor is using AI on our data.”
Third-party risk management with AI-specific assessment.
Third-party AI risk handled inside the same control framework. A single control satisfies obligations across the EU AI Act, ISO 42001, NIST AI RMF, NIS2, and DORA in parallel.
V8 · Editorial flat list
FAQ-style flat list. Big titles, byline-style detail rail on the right (detection layer, Modulos role, regulatory hit, severity). Reads like a published taxonomy.
- LV01
Naive
“I didn't know there was a policy.”
Employees use ChatGPT, Claude, and Gemini because no one told them not to. Roughly 25 to 30 percent of all shadow AI usage. Data leakage risk stays substantial even when intent is harmless.
Modulos response. EU AI Act Article 4 literacy training, policy management, intake form for declared use cases, and Scout discovery across GitHub, cloud, and Atlassian.
Detection layerShadow-app surfacingModulos roleDIR — Modulos directRegulatoryEU AI Act Art. 4SeverityLOW · 1/5 - LV02
Convenience
“The approved path is too slow.”
Enterprise Copilot exists, but staff default to consumer ChatGPT because it is faster. 30 to 35 percent of usage. Sensitive data leaves the corporate perimeter under different governance.
Modulos response. Quantifies the monetary risk of unapproved usage. Intake plus Scout analysis makes the approved path fast enough to compete with shadow usage.
Detection layerDLP / data flowModulos roleORC — Modulos orchestratesRegulatoryEU AI Act Art. 4 · GDPRSeverityMED · 2/5 - LV03
Defiant
“The policy is wrong.”
Senior staff who know the policy and bypass it anyway. Leadership often the heaviest user. Training stops working. Only infrastructure enforcement plus regulatory urgency changes behaviour.
Modulos response. Regulatory framing compliance officers need to escalate (EU AI Act fines, board liability) and an audit trail of override-with-justification events.
Detection layerSSE / CASBModulos roleORC — Modulos orchestratesRegulatoryEU AI Act fines · Board liabilitySeverityMED · 3/5 - LV04
Embedded
“The tool was approved. The AI inside it wasn't.”
Notion AI, Copilot in Excel, Zoom summaries, Grammarly were all approved before they added AI. The AI itself was never assessed. By 2026 ~70% of enterprise AI happens inside previously-approved SaaS.
Modulos response. Embedded-AI signals feed into intake. Scout risk-classifies each newly-surfaced capability and re-maps controls without waiting for procurement.
Detection layerEmbedded-AI SPMModulos roleORC — Modulos orchestratesRegulatoryEU AI Act Art. 50 · Annex IIISeverityHIGH · 4/5 - LV05
Agentic
“The agent was approved. Its actions weren't.”
Autonomous agents act on systems, data, and decisions at machine speed. 47 percent of enterprises report an agent security incident in the past year. CVE-2025-53773 showed how prompt injection could enable full system compromise.
Modulos response. Agent trust scores ingest as risk evidence. Modulos classifies agents under EU AI Act high-risk categories and continuously monitors them.
Detection layerAgent runtime trustModulos rolePRT — Modulos with partnersRegulatoryEU AI Act high-risk · NIS2SeverityCRIT · 5/5 - LV06
Supply Chain
“Our vendor is using AI on our data.”
Your legal vendor summarises contracts with AI. Your CRM added AI insights. EU AI Act value-chain provisions, DORA, NIS2, and customer commitments turn these into governable risk regardless.
Modulos response. Third-party AI risk handled inside the same control framework. A single control satisfies obligations across the EU AI Act, ISO 42001, NIST AI RMF, NIS2, and DORA in parallel.
Detection layerTPRMModulos roleDIR — Modulos directRegulatoryEU AI Act value chain · DORA · NIS2SeverityHIGH · 4/5
V9 · Coverage scatter
A real scatter plot. X = blast radius, Y = visibility to existing controls. Risk color encoded. Modulos governance shown as a continuous band across the top. Data is the visual.
Read this chart.
Up and to the right is worst case. Blast radius is the harm a single incident can do. Visibility is what your existing controls can see today.
Levels 04 and 05 sit deep in the low-visibility, high-blast quadrant. That is where shadow AI gets dangerous and where third-party detection is most fragmented.
Modulos governance is the continuous band across the top: every level lands inside a control framework, even when detection is split across five vendor categories.
V10 · Vendor stack diagram
Systems-architecture aesthetic. Continuous Modulos governance band sits on top, third-party detection stack below it, level coverage badges per layer. Levels listed below as a reference rail.
- NETNetworkSSE / CASB · DLPLV02 ConvenienceLV03 Defiant
- IDPIdentityIdP · SSO · shadow-app discoveryLV01 NaiveLV02 Convenience
- SAASSaaS surfaceEmbedded-AI SPM · ScoutLV01 NaiveLV04 Embedded
- RUNRuntimeAgent trust scoringLV05 Agentic
- TPRMVendor riskTPRM · AI-specific assessmentLV06 Supply Chain
- LV01LOW 1/5NaiveEmployees use ChatGPT, Claude, and Gemini because no one told them not to. Roughly 25 to 30 percent of all shadow AI usage. Data leakage risk stays substantial even when intent is harmless.DIR · Modulos direct
- LV02MED 2/5ConvenienceEnterprise Copilot exists, but staff default to consumer ChatGPT because it is faster. 30 to 35 percent of usage. Sensitive data leaves the corporate perimeter under different governance.ORC · Modulos orchestrates
- LV03MED 3/5DefiantSenior staff who know the policy and bypass it anyway. Leadership often the heaviest user. Training stops working. Only infrastructure enforcement plus regulatory urgency changes behaviour.ORC · Modulos orchestrates
- LV04HIGH 4/5EmbeddedNotion AI, Copilot in Excel, Zoom summaries, Grammarly were all approved before they added AI. The AI itself was never assessed. By 2026 ~70% of enterprise AI happens inside previously-approved SaaS.ORC · Modulos orchestrates
- LV05CRIT 5/5AgenticAutonomous agents act on systems, data, and decisions at machine speed. 47 percent of enterprises report an agent security incident in the past year. CVE-2025-53773 showed how prompt injection could enable full system compromise.PRT · Modulos with partners
- LV06HIGH 4/5Supply ChainYour legal vendor summarises contracts with AI. Your CRM added AI insights. EU AI Act value-chain provisions, DORA, NIS2, and customer commitments turn these into governable risk regardless.DIR · Modulos direct