Exposure Lens quick diagnostic

Get a practical AI exposure teaser in minutes.

Answer 12 governance, data, vendor, identity, monitoring, and agentic workflow questions. The result gives 4RHD enough context to recommend the right AI governance or AIGuardium path.

Teaser index--

Complete all questions to preview.

Full name *Business email *Company *Company domainRolePhone

1. How mature is your approved AI acceptable-use policy?AI governance

Approved, communicated, and enforcedApproved but not consistently enforcedDraft or informal guidance onlyNo formal AI policy

2. Do you maintain an inventory of approved AI tools, embedded AI features, and AI-enabled SaaS?Shadow AI inventory

Yes, reviewed continuously or monthlyYes, but it is static or incompleteOnly high-profile tools are trackedNo reliable AI inventory exists

3. How controlled is employee use of public AI tools such as ChatGPT, Claude, Gemini, or Copilot?Data exposure

Managed enterprise accounts with clear controlsSome enterprise use, some unmanaged personal useMostly unmanaged or hard to observeWe do not know

4. Could regulated, confidential, or client data be entered into AI tools today?Data exposure

Restricted by technical and policy controlsPolicy says no, but controls are limitedLikely, because workflows depend on itUnknown

5. Are AI vendors and AI-enabled SaaS features reviewed before use?AI vendor risk

Formal security, privacy, and legal reviewOnly major vendors are reviewedAd hoc review without consistent criteriaNo AI-specific vendor review

6. How well are AI tools integrated with identity controls such as SSO, MFA, and access reviews?Identity and access

SSO/MFA/access reviews for most AI toolsCore tools onlyMostly local accounts or shared accountsUnknown

7. Do you have logs or monitoring for AI usage, prompts, sensitive-data warnings, or policy violations?Monitoring and auditability

Centralized and reviewedAvailable tool by toolLimited to billing or admin-console dataNo meaningful visibility

8. Are autonomous agents, workflow automations, MCP tools, or AI actions connected to business systems?Agentic workflow controls

No known agentic workflowsPilots only, isolated from sensitive systemsConnected to tickets, data, email, or APIsUnknown or developer-led shadow activity

9. Are human approvals enforced before AI systems take material or irreversible actions?Agentic workflow controls

Yes, enforced technically by action riskManual process, not consistently enforcedOnly for some workflowsNo clear approval checkpoint

10. Does your incident response plan cover AI misuse, prompt injection, data leakage, or agent compromise?AI incident readiness

Documented and testedDocumented but not testedGeneric incident plan onlyNo AI-specific incident path

11. Which regulated context best describes your environment?AI governance

Limited regulated or confidential dataCustomer security reviews or SOC 2 / ISO pressureHealth, financial, or privacy-regulated dataGovernment, defence, or public-sector assessment context

12. Who owns AI governance decisions today?AI governance

Named owner or cross-functional committeeSecurity or IT owns it informallyDistributed across teams without authorityNo clear owner

Your Organization's AI Footprint Is Larger Than You Think

Most organizations have no reliable view of how AI tools are being adopted, approved, monitored, or connected to sensitive workflows. Exposure Lens turns that uncertainty into a practical intake summary, then helps scope deeper AIGuardium discovery where evidence is needed.

Fast Triage

Get a quick exposure teaser and next-step direction without pretending it replaces a formal assessment.

AIGuardium Bundle

Use the diagnostic to determine where discovery, monitoring, and policy enforcement should be introduced.

Scoping-Ready Summary

Turn a short intake into a cleaner scoping conversation for governance, readiness, or AI security work.

Capabilities

Full-Spectrum AI Exposure Diagnostic

Six practical capabilities that help turn AI uncertainty into a structured governance conversation.

Guided AI Exposure Diagnostic

Structured intake across governance, Shadow AI, data handling, vendor review, identity, monitoring, and agentic workflow controls.

Risk Score (0–100)

Proprietary scoring algorithm rates your AI exposure risk on a clear 0–100 scale. Color-coded severity levels with drill-down into each risk factor for actionable remediation.

Executive Teaser Summary

Translate answers into a concise exposure index, top risk domains, and practical next-step recommendations for a scoping conversation.

AIGuardium Handoff

Use the diagnostic to decide where AIGuardium discovery, monitoring, and policy enforcement would create the most value.

Sector Context

Frame exposure against the control realities that matter for SaaS, healthcare, financial services, government vendors, and regulated teams.

Industry-Specific Templates

Pre-built diagnostic templates for financial services, healthcare, government (ITSG-33), legal, and technology sectors. Tailored risk factors and compliance checks for your industry.

How It Works

From Intake to Next Step in 4 Moves

Fast enough for lead generation, structured enough to support a serious AI governance conversation.

01

Complete Diagnostic

Answer a focused 12-question intake covering policy, inventory, data exposure, AI vendors, identity, monitoring, and agentic workflows.

02

Score Exposure

The scoring engine creates a practical exposure index and highlights the control domains most likely to require attention.

03

Review Teaser

Receive a high-level summary that is useful for triage while keeping detailed assessment work scoped as a professional engagement.

04

Move to AIGuardium

Use the findings to scope AI Governance support, AIGuardium discovery, or runtime policy enforcement where the business needs it.

Know Your Score. Own Your Risk.

Exposure Lens is being bundled with AIGuardium as the quick diagnostic that surfaces AI exposure and moves the organization toward governed protection.

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