Continuous Controls Monitoring evaluation questionnaire

1. RFIWhich controls are monitored via direct API/telemetry integration in real or near-real time versus periodic manual attestation, and what percentage of a typical customer's control set falls into each category?
   Answer key — what a strong answer shows

   A stated percentage breakdown is materially stronger evidence than a vague 'most controls are automated' claim with no numbers.

2. RFPDetail how a control failure is detected and escalated — the actual time from real control drift occurring to the control owner being notified — with a customer-referenced average detection time.
   Answer key — what a strong answer shows

   A concrete, customer-referenced detection-time figure is far stronger evidence than a qualitative 'fast' or 'real-time' claim.

3. RFIHow does the platform distinguish a true control failure from a benign configuration change or a false positive, and what is the tuning process for reducing alert fatigue as the deployment matures?
   Answer key — what a strong answer shows

   Look for an explicit tuning/suppression mechanism; a raw, untuned alert firehose is a real operational burden that erodes trust in the tool over time.

4. RFPExplain how control-monitoring results feed into audit evidence — is evidence auto-generated and timestamped directly from the monitoring data, or does an auditor still need a separate, manual evidence-collection process?
   Answer key — what a strong answer shows

   Auto-generated, timestamped evidence sourced directly from live monitoring is materially stronger than monitoring and audit-evidence collection being two disconnected processes.

5. RFIWhat is the breadth of supported control frameworks, and how are framework revisions (e.g., a new NIST CSF version) rolled into existing control mappings without requiring a full re-implementation?
   Answer key — what a strong answer shows

   Look for a stated, repeatable framework-update process; a vendor with no answer likely forces a costly re-mapping project on every framework revision.

6. RFICan control thresholds and monitoring logic be customized per business unit or subsidiary with different risk tolerances, or is the monitoring logic fixed and global across the whole organization?
   Answer key — what a strong answer shows

   Configurable, per-unit thresholds are stronger for real multi-entity organizations than a single fixed global logic that can't reflect differing risk appetites.

7. RFPDescribe integration depth with the underlying systems being monitored (cloud IAM, endpoint, network) — read-only API polling versus deeper agent-based or event-stream integration — and the detection-latency implications of each approach.
   Answer key — what a strong answer shows

   Event-stream or agent-based integration generally yields materially lower detection latency than periodic polling; the vendor should be able to state which controls use which method and why.

8. RFIHow is control-monitoring coverage itself measured and reported — can the platform show leadership what percentage of the required control set has active continuous monitoring versus real gaps, and is that gap report continuously kept current?
   Answer key — what a strong answer shows

   A live, self-reporting coverage-gap view (monitoring the monitoring itself) is a real maturity signal — probe whether it's genuinely current or a stale one-time export.

9. RFIWhat is the pricing model — per control monitored, per integrated system, or a flat enterprise tier — and how does cost scale as the organization's control set and monitored-system count both grow?
   Answer key — what a strong answer shows

   Look for transparent, predictable scaling economics; a vendor unable to project cost at meaningfully higher scale creates real budget risk for a growing compliance program.

10. RFPDoes a detected control failure that indicates active compromise (not just configuration drift) automatically escalate to the incident-response team through a real integration, or does it remain in the same compliance-monitoring queue as routine drift regardless of severity?
    Answer key — what a strong answer shows

    A control failure that signals active compromise (e.g., MFA suddenly disabled organization-wide) deserves IR-severity escalation, not the same treatment as routine drift — ask for a specific severity-based escalation path.

11. RFIIs continuous-controls-monitoring data used or accepted by cyber-insurance underwriters for coverage decisions, and can the vendor cite a real customer example where this data influenced actual insurance terms?
    Answer key — what a strong answer shows

    Real underwriter acceptance is a concrete, checkable claim — press for a specific customer example rather than accepting a generic 'insurance-ready' marketing statement.

12. RFPDetail board-level trend reporting specifically (distinct from the operational coverage-gap report) — is there a maintained, presentation-ready summary of control-health trend over quarters suitable for a board audience with no compliance background?
    Answer key — what a strong answer shows

    A board-appropriate trend summary is a distinct deliverable from an operational coverage-gap dashboard built for practitioners — ask to see an actual sample board-level output.

13. RFIWho within the customer organization gets access to control-monitoring findings, and is there role-based access control given that a complete view of control failures is itself sensitive information about organizational weaknesses?
    Answer key — what a strong answer shows

    A complete control-failure inventory is a meaningful target in its own right — role-based access control over the platform's own findings is an often-overlooked consideration.

14. RFIHow does this platform relate to a GRC & Compliance Automation platform the customer might already have — is CCM a genuinely distinct, complementary capability, or does it substantially overlap and duplicate what a comprehensive GRC platform already provides?
    Answer key — what a strong answer shows

    This is a real, common buyer question given the category overlap — a vendor should give an honest, specific answer about the boundary and complementarity rather than implying CCM is always a necessary separate purchase.

15. RFPHow consistent is monitoring depth across multi-cloud/hybrid environments — is coverage equally real-time and deep across AWS, Azure, GCP, and on-prem systems, or meaningfully shallower for one environment the vendor should disclose honestly?
    Answer key — what a strong answer shows

    Ask for an honest per-environment coverage breakdown; uneven monitoring depth across environments is a common real gap that should be disclosed rather than obscured.

16. RFIWhat remediation-workflow automation exists when a control failure is detected — can the platform automatically remediate certain classes of drift (e.g., re-enabling a disabled control), or is capability limited to detection and alerting with manual remediation required for every finding?
    Answer key — what a strong answer shows

    Automated remediation for well-understood, low-risk drift classes is materially stronger than alert-only detection requiring manual intervention for every single finding, especially at scale.

Verified buyers can suggest criteria (anonymized before pooling).