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Third-party monitoring

Vendor and Dependency Trust Monitoring

A dependency-mapping service that maintains a live view of vendors, contractors, SaaS platforms, integrations, and their trust boundaries.

Mission problem
Third-party access and configuration change over time, and drift is a common source of exposure.
Who it protects
  • · NGOs
  • · Institutes
  • · Think tanks
  • · Advanced R&D labs
Sensitive assets involved
  • · Supply-chain integrity
  • · Sensitive integrations
Required inputs
  • · Vendor inventories
  • · Access logs
  • · Contract metadata where available
Connected systems
  • · IdP
  • · Cloud audit logs
  • · SaaS admin panels
How the service works
  1. The service maintains a dependency graph.
  2. Changes such as permission creep or new dependencies are surfaced for review.
  3. Notable changes are routed to human reviewers.
Human-review points
  • · Notable trust-boundary changes
Evidence produced
  • · Dependency graph snapshots
  • · Change records
  • · Reviewer disposition
Service interlocks
  • · Cross-System Threat Anomaly Detection
  • · Evidence-Grade Audit and Provenance Capture
Vendor Dependency Graph (illustrative)
BeneficiaryCloud AContractorSaaS BProcessorCollabIntegratorSaaS C

Highlighted edge indicates illustrative permission drift routed for review.

Illustrative scenario
Illustrative: contractor permission drift

A contractor's SaaS permissions widen after a project change. The overlay flags the drift and routes it for review before it becomes a systemic exposure.

Deployment prerequisites
  • · A maintained vendor inventory
  • · Access to relevant admin logs
Beneficiary responsibilities
  • · Keep vendor inventories current
  • · Review flagged changes
Limitations and non-claimsRequires validation
  • · Visibility is bounded by what vendors expose and what the beneficiary chooses to connect.
Frequently asked
Do we need vendor cooperation?
Some signals require vendor-exposed telemetry; the service is designed to work with what is available and label gaps.
How is the dependency graph maintained?
It composes from IdP records, cloud audit logs, SaaS admin panels, and beneficiary-maintained vendor inventory. Snapshots are chained as evidence.
What counts as a notable change?
Permission creep, new dependencies, scope expansion, credential rotation lapses, and configuration drift against ratified baselines.

Delivery model

Onboarding → Policy Definition → Controlled Rollout → Steady-State Assurance. Every phase produces named evidence artifacts.

4-Phase Delivery Timeline
  1. Phase 1
    Onboarding

    Vendor inventory validation, connection to IdP/cloud/SaaS admin logs, and baseline dependency-graph capture.

    • · Vendor inventory of record
    • · Baseline dependency graph
  2. Phase 2
    Policy Definition

    Notable-change categories, review thresholds, reviewer roster, and remediation authority are ratified.

    • · Change-category catalog
    • · Reviewer roster
  3. Phase 3
    Controlled Rollout

    Monitoring runs in observation mode; reviewers exercise change dispositions and remediation coordination.

    • · Observation-mode change log
    • · Remediation rehearsal record
  4. Phase 4
    Steady-State Assurance

    Ongoing graph maintenance, reviewer rotation, quarterly third-party assurance packs.

    • · Quarterly third-party assurance pack
    • · Graph version history

Beneficiary scenarios

Illustrative
Contractor permission drift

A contractor's SaaS permissions widen after an unrelated project change. The overlay flags the drift against ratified baseline, routes to reviewer, and coordinates remediation with the vendor and system owner before it becomes a systemic exposure.

Illustrative
New SaaS integration appears mid-quarter

A new SaaS integration is granted by a team lead without central review. The overlay detects the new dependency, composes context (who granted, scope, data classes exposed), and routes to the vendor-review reviewer for ratification or reversal.

Engineering detail

Integration model+

Read-only ingestion from IdP records, cloud audit logs, SaaS admin panels, and beneficiary-maintained vendor inventory. No modification of vendor systems.

Data flows+

Signals compose into a live dependency graph. Diffs against ratified baseline surface as candidate change records, enriched with owner and classification context, and route to named reviewers.

Cryptographic components+

Graph snapshots are hashed and chained. Reviewer dispositions are signed.

Logging architecture+

Every graph snapshot, change record, reviewer disposition, and remediation trace is written to the evidence chain.

Deployment prerequisites+

Maintained vendor inventory, admin-log access, and named vendor-review reviewers.

Operational limits+

Visibility is bounded by what vendors expose and what the beneficiary chooses to connect; gaps are labeled in every graph snapshot.

Governance model

Approval gates
  • · Baseline changes require reviewer-lead ratification.
  • · Notable changes above threshold require named reviewer disposition.
  • · New vendor onboarding requires reviewer sign-off before production access.
  • · Remediation actions on vendors coordinate through executive sponsor.
Exception handling

Provisional acceptance of a change is possible with expiration; every provisional decision carries rationale.

Rollback paths

Where a change reversed a ratified baseline, remediation may include vendor-side reversal coordinated with the system owner. Every attempt is logged.

Beneficiary control boundaries

The beneficiary owns vendor relationships and remediation authority. The overlay surfaces and proposes; humans decide.

Evidence and reporting outputs

  • · Dependency graph snapshots with lineage
  • · Change record with diff and context
  • · Reviewer disposition and rationale
  • · Baseline version history
  • · New-vendor ratification record
  • · Remediation trace
  • · Vendor-telemetry gap register
  • · Quarterly third-party assurance pack

Grant scope

Included
  • · Connectors to an agreed set of admin-log sources
  • · Baseline capture and change-category authoring
  • · Reviewer onboarding and observation-mode rollout
  • · Steady-state maintenance and quarterly assurance packs
Beneficiary responsibilities
  • · Keep vendor inventory current
  • · Provide admin-log access
  • · Staff vendor-review reviewer rotation
Timeline

Typical: 4-phase delivery over 8–12 weeks depending on vendor count and admin-log coverage.

Explicit exclusions
  • · Vendor-side remediation execution
  • · Guarantee of vendor cooperation or telemetry quality
  • · Legal or contractual dispute resolution

Portfolio interlock

Portfolio Interlock Web
01Access02Data class.03Threat corr.04Workflow05Evidence06Compliance07Reporting08Vendor09PQC readiness10Scenario/IR10-serviceportfolio

Predecessors, successors, and operational interlocks across the portfolio.

Natural predecessors

Standalone — no upstream service required.

Natural successors
  • · Cross-System Threat Anomaly Detection
  • · Evidence-Grade Audit and Provenance Capture
Operational interlocks
  • · Policy-Based Access Mediation
  • · Secure Workflow Orchestration with Human Review Gates

Risks and non-claims

Requires validation
  • · Vendor-telemetry gaps produce blind spots; the gap register makes these explicit.
  • · Baseline drift over time reduces signal quality; quarterly ratification maintains fidelity.
  • · The service does not warrant vendor security posture; it surfaces change against beneficiary-ratified baselines.
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