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Cotribute MCP Connect

Risk & Governance Brief

A companion document for Chief Risk Officers and Third-Party Risk Management teams evaluating MCP Connect for their financial institution.

Version
1.0 · June 2026
Audience
CRO · GRC · TPRM · Compliance
Classification
For evaluation use
About this document

What this brief covers, and how to read it.

This document is intended for the risk, compliance, and third-party oversight teams at financial institutions evaluating Cotribute MCP Connect. It is a self-contained reference that explains how the service is designed, how it fits within the regulatory frameworks your examiners already apply, and which controls map to which obligations.

You do not need to have spoken with a Cotribute representative to read this document. It is organized so that each section can be lifted into your internal evidence binder or shared with your examiner without modification. Pre-filled responses to common Third-Party Risk Management questionnaire items appear in Section 9; an implementation checklist for your risk team appears in Section 10; suggested questions to bring to a walkthrough appear in Section 11.

Where this document references regulatory frameworks (FFIEC, OCC, FRB, FDIC, NCUA, CFPB, GLBA, ECOA, Reg Z, FCRA), the descriptions are intended as a crosswalk to MCP Connect's design — not as legal advice. Your own counsel and compliance team should make the final determination of how each framework applies to your institution.

One-line summary. MCP Connect is a governed access layer that lets enterprise AI tools — Microsoft 365 Copilot, Anthropic Claude for Enterprise, and ChatGPT Enterprise — answer questions about your applications, members, and decisions through a single audited channel. Read-only by default. PII masked by default. The AI summarizes; your staff decides.
Table of contents

Twelve sections.

Section 01

01 Executive summary

MCP Connect is a governed access layer, not an AI product. It is the channel through which your team's already-approved enterprise AI tools can answer scoped, audited questions about your Cotribute data — without exporting it, without training a foundation model on it, and without taking decisioning out of human hands.

What it is

MCP Connect implements the Model Context Protocol (MCP), an open standard for letting AI clients query enterprise systems through a controlled server. Your institution operates the server through your existing Cotribute tenant. Each query passes through OAuth-based identity, a role-based authorization model, PII masking, and an immutable audit log before any data leaves the Cotribute boundary.

What it is not

The risk posture in one paragraph

MCP Connect is designed to be evaluated under the regulatory frameworks your institution already applies to vendor relationships and information-security programs — not as a novel category. FFIEC IT Examination Handbook controls apply. OCC 2023-17 / FRB SR 23-4 / FDIC FIL-29-2023 third-party risk management lifecycle requirements apply. GLBA Safeguards Rule applies. NCUA 2026 supervisory priorities on artificial intelligence and vendor management apply where your institution is a credit union. Because the AI does not make decisions, SR 11-7 model risk does not apply to MCP Connect itself; it continues to apply to the underlying decisioning systems unchanged.

Bottom line for your committee. MCP Connect replaces the unmanaged risk of staff pasting member data into a consumer AI tool with a governed, logged, scoped channel that your institution controls. The AI sees only what your staff member is already authorized to see, only for the duration of the query, and every interaction is recorded for examiner review.
Section 02

02 Architecture at a glance

MCP Connect sits between your enterprise AI tools and your Cotribute platform data. Every AI call passes through a single governed boundary before any data is returned.

Microsoft Copilot
Enterprise tenant
Anthropic Claude
Claude for Enterprise
ChatGPT Enterprise
Enterprise tenant
Cotribute MCP Connect
Applications
Status · queue · stalled
Members
Member 360 · eligibility
Decisions
Rationale · fraud · KYC
The lock represents the governed boundary: OAuth identity, role-based scope, PII masking, and an immutable audit log are enforced at the server before any data is returned to the AI client.

The five enforcement points

  1. Identity. OAuth 2.1 with PKCE, federated to your existing identity provider (Microsoft Entra ID, Okta, Google, or Ping). The named human user issuing the query is propagated to every tool call.
  2. Authorization. Role-based scope determined by the user's group membership in your identity provider, mapped to a Cotribute role catalog that you configure.
  3. PII masking. SSN, full date of birth, and full account numbers are redacted by default in tool responses. Unmasking requires elevated permission and stepped-up authentication.
  4. Read-only enforcement. Version 1.0 of MCP Connect exposes no write tools. The AI cannot move money, change a decision, modify a member record, or alter system state.
  5. Audit. Every tool call writes an immutable audit log entry with full attribution, request parameters, and response summary. Retention is seven years. The log is examiner-exportable in CSV and JSON.

What flows where

The AI client (Copilot, Claude, ChatGPT) sees only the response Cotribute returns for a specific, scoped tool call. There are no bulk extracts. There is no continuous stream. Each natural-language question from a staff member becomes one or more discrete tool calls; each tool call returns only the fields necessary to answer the question; the response carries PII masking already applied. The model never receives more than what the requesting staff member would have seen on screen if they had clicked through the Cotribute interface manually — and frequently sees less.

Section 03

03 Six core risk concerns addressed

Each pillar below states the concern, the design decision that addresses it, the specific control mechanism, and the regulatory framework it maps to.

Pillar 01 · Data boundary

Member data does not train a foundation model.

Concern
An AI vendor could use member data to train its models, creating an uncontrolled exposure of NPI and a violation of GLBA Safeguards Rule customer information obligations.
Design decision
Cotribute contractually commits no-train on the MCP layer. The enterprise AI platforms supported by MCP Connect — Microsoft 365 Copilot (Enterprise), Claude for Enterprise, and ChatGPT Enterprise — each carry their own contractual no-train commitments for enterprise tenant data.
Control
Per-query scoped retrieval. No bulk extracts cross the Cotribute boundary. Each tool call is purpose-bound and returns only the fields necessary to answer one staff question.
Maps to
GLBA Safeguards Rule (16 CFR 314.4) · FFIEC IT Examination Handbook — Information Security · OCC 2023-17 / FRB SR 23-4 / FDIC FIL-29-2023 — Third-Party Risk Management lifecycle
Pillar 02 · Identity & attribution

Every call is logged as a named human user.

Concern
An AI agent could act on behalf of "the AI" rather than a named human, making post-hoc attribution and access review impossible.
Design decision
OAuth 2.1 with PKCE passes the staff member's identity through to every tool call. No service-to-service tokens. No shared accounts. The user's group membership in your identity provider determines what they can ask.
Control
Federated authentication with your existing IdP. Token revocation propagates immediately. Stepped-up authentication required for elevated access.
Maps to
GLBA Safeguards Rule 314.4(c) — Access Controls · FFIEC IT Examination Handbook — Access Management · NIST SP 800-63 (for authentication assurance level)
Pillar 03 · Decisioning scope

The AI retrieves and drafts. It does not decide.

Concern
If the AI participates in credit, fraud, account-opening, or adverse-action decisions, MCP Connect would fall into SR 11-7 model risk scope and create CFPB adverse-action exposure.
Design decision
Credit, fraud, and account-opening decisions remain in the existing systems and human reviewers that produce them. MCP Connect tools return data and summaries; they do not make or alter decisions. This is contractually written and surfaced in every audit log entry.
Control
Tool catalog reviewed and scoped to retrieval and summarization. No write tools in v1.0. Decisioning systems unchanged.
Maps to
FRB SR 11-7 (Model Risk) — out of scope by design · CFPB Circulars on AI in adverse action · ECOA / Reg B · FCRA · Reg Z
Pillar 04 · Per-FI scope control

You control which tools, which fields, which roles.

Concern
A one-size-fits-all permission model would either over-expose member data or render the capability unusable.
Design decision
Tool catalog is configurable at the institution, branch, and role level. PII is masked by default. Full account numbers, SSN, and full date of birth require elevated permission and stepped-up authentication. OAuth tokens are revocable at any time.
Control
Role catalog managed in the Cotribute admin portal. PII classification policy enforced server-side. Stepped-up auth required for elevation; elevation events are themselves logged.
Maps to
GLBA Safeguards Rule 314.4(c) — Access Controls · FFIEC — Information Security · NCUA 2026 Supervisory Priorities — Information Security
Pillar 05 · Examiner-ready evidence

Audit log built for the FFIEC binder.

Concern
If staff use AI on member data through unmanaged channels (e.g., copying records into ChatGPT consumer), there is no audit trail and no examiner-ready evidence of access patterns.
Design decision
Every tool call writes an immutable audit log entry. Timestamp, user, role, tool, request parameters, response summary, record count, PII classification returned, AI client, and result status are all captured. Retention is seven years. The log is examiner-exportable.
Control
Append-only audit store with cryptographic integrity. CSV and JSON export available through the customer portal. NCUA-aligned vendor questionnaire pack pre-filled and updated for 2026 supervisory priorities.
Maps to
FFIEC IT Examination Handbook — Audit · OCC 2023-17 / FRB SR 23-4 / FDIC FIL-29-2023 — Vendor Oversight · NCUA 2026 Supervisory Priorities — Information Security and AI
Pillar 06 · Consumer-facing posture

No AI is talking to your members without a person in the loop.

Concern
Direct AI-to-consumer communications create CFPB disclosure obligations and increase the risk of unintended or non-compliant messaging.
Design decision
MCP Connect is a staff-facing capability. Member-facing emails, adverse-action notices, and chat replies continue to be drafted (where you have approved) and sent by your staff. The disclosure obligation is satisfied by the human who signs the communication.
Control
No member-facing write tools. Consistent with Cotribute's existing AI Growth Agents architecture: AI drafts, staff sends.
Maps to
CFPB Circulars on AI · ECOA / Reg B adverse-action notification · FCRA dispute and disclosure obligations · State-level consumer disclosure regimes (e.g., CCPA/CPRA, Colorado AI Act)
Section 04

04 Regulatory framework crosswalk

The table below maps the regulatory frameworks most commonly cited in our customers' TPRM and risk-committee reviews to the specific MCP Connect controls that address them.

Framework Relevant Provisions MCP Connect Controls
FFIEC IT Examination Handbook Information Security · Access Management · Audit · Third-Party Outsourcing OAuth 2.1 identity · Role-based access · PII masking · 7-year immutable audit · SOC 2 Type II
OCC Bulletin 2023-17 / FRB SR 23-4 / FDIC FIL-29-2023 Third-Party Risk Management lifecycle: planning, due diligence, contracting, ongoing monitoring, termination Pre-filled vendor questionnaire · Documented MCP scope addendum · Quarterly business reviews · Token revocation · Contract termination clause
FRB SR 11-7 (Model Risk Management) Definition of "model" · Development, validation, governance of models used in decisioning Out of scope by design · MCP Connect does not make credit, fraud, or account-opening decisions · Decisioning systems remain unchanged and under SR 11-7 as applicable
GLBA Safeguards Rule (16 CFR 314) Information security program · Access controls (314.4(c)) · Encryption · Multi-factor authentication · Risk assessment · Incident response Federated OAuth · Role-based scope · TLS 1.3 in transit · AES-256 at rest · Stepped-up auth for elevation · Documented IR process
NCUA 2026 Supervisory Priorities Artificial intelligence governance · Information security · Vendor management · Consumer financial protection No-train commitment · Read-only by design · Vendor questionnaire pack · No direct member-facing AI · Examiner-exportable audit
CFPB Circulars on AI Adverse-action notification specificity · Algorithmic decisioning disclosure · Consumer protection in automated systems AI does not make adverse-action decisions · Human staff sends all consumer communications · Existing decisioning notice flows unchanged
ECOA / Regulation B Adverse-action notice content and timing · Prohibited basis Decisioning remains in existing systems · Notice content and timing unchanged
Regulation Z (Truth in Lending) Disclosure requirements for consumer credit No change to existing TILA disclosure flows
FCRA Use of consumer reports in decisioning · Dispute handling · Disclosure No model-based decisions made by MCP Connect · Audit log captures every credit-report retrieval by user, purpose, and timestamp
CCPA / CPRA · Colorado AI Act · state-level analogs Consumer rights notice · automated decision-making restrictions No member-facing automated decisioning by MCP Connect · Privacy notices unchanged · Data minimization through scoped retrieval
How to use this table. The "MCP Connect Controls" column is intended to be copied into your TPRM file as evidence of how this service addresses each framework's requirements. Pair it with the audit log specification in Section 05 and the questionnaire responses in Section 09 to produce a complete due-diligence pack.
Section 05

05 Audit log specification

Every tool call writes one audit log entry. Entries are immutable, retained for seven years, and exportable to your examiner in CSV or JSON.

Fields captured per entry

Field Description
timestamp_utcISO 8601, microsecond precision, generated server-side at request receipt
audit_idUnique entry identifier; surfaced in AI client response for traceability
session_idIdentifier for the AI client conversation, allowing reconstruction of a query series
user_emailEmail of the staff member issuing the query, propagated from the IdP token
user_oidStable opaque identifier of the user in your identity provider
idp_groupsThe IdP groups the user belonged to at request time
role_resolvedThe MCP Connect role that the user's groups resolved to for this call
ai_clientcopilot · claude · chatgpt · openai_agents
ai_client_session_idIdentifier of the conversation on the AI client side, where available
tool_nameThe MCP tool invoked (e.g., applications.lookup, members.summary)
tool_versionThe version of the tool catalog in effect at request time
request_paramsSanitized parameters of the tool call (PII inputs are referenced by identifier, not value)
response_summaryTruncated summary of the response (record counts, classification tags, no PII payload)
record_countNumber of records returned
pii_classificationMasking level applied to the response: default, elevated, full
elevation_eventIf elevation was required and granted, the elevation event identifier
latency_msServer-side processing time
result_statussuccess · partial · denied · error · rate_limited

Retention, integrity, and export

Section 06

06 Data classification and PII handling

MCP Connect applies a three-tier classification at the field level. Default behavior is the most restrictive; elevation requires explicit configuration and stepped-up authentication.

Classification Examples Default behavior
Tier 1 — General Application ID · Application status · Decision timestamp · Loan amount range · Product type · Workflow stage · Aggregate analytics Returned in full to all authorized roles
Tier 2 — Member identifier Member name · Email · Phone · Mailing address (city, state, zip) Returned to roles with member-record scope (Member Services, Lending, Compliance, Operations); not returned to broader roles such as Marketing analytics
Tier 3 — Sensitive PII / NPI Full SSN · Full date of birth · Full account number · Routing number · Government ID number · Income figures · Credit report fields Masked by default in all responses (e.g., SSN returned as XXX-XX-1234). Full values require elevated permission and stepped-up authentication. Every elevation event is itself logged.

How masking works in practice

When a staff member asks "What is the status of the loan application for the member with SSN ending in 1234?", MCP Connect resolves the member by the last-four token through a server-side lookup. The AI client never sees the full SSN. The audit log records that the query was made by member-identifier and that no full SSN was returned to the model.

When a staff member with elevated permissions performs a quarterly identity-verification review and explicitly requests full DOB values for a small sample of records, the elevation event is recorded, the stepped-up authentication is captured, and the records returned in full are tagged in the audit log as pii_classification: full.

Configurable per institution. The default classification map is sensible for most credit unions and community banks. Your TPRM team may tighten it further (for example, by moving address fields from Tier 2 to Tier 3) through the Cotribute customer portal. Any change is itself an audited event.
Section 07

07 Role and access controls

MCP Connect ships with seven default roles, each scoped to a curated subset of MCP tools. Roles are mapped to the groups in your existing identity provider during onboarding. You may modify the catalog at any time.

Role Default scope Tier 3 access
Member ServicesApplication lookup · Member 360 (masked) · Decision rationale (masked)No
Lending OfficerApplication queue · Stalled-loan diagnostics · Decision rationale · Lending-specific analyticsNo
Operations ManagerPending queue health · Workload distribution · Aging analytics · Same-day-decision and auto-decision trendsNo
Fraud AnalystFraud review queue · FraudGuard+ summaries · Risk-score lookups · IDV outcome lookupsConditional (case-bound)
Compliance AnalystAudit pack generation · Adverse-action review · Decision rationale lookup · Audit-log searchConditional (case-bound, stepped-up auth)
Marketing AnalystFunnel diagnostics · Conversion analytics · Product-mix lookups · UTM-source breakdownsNo (aggregate-only)
ExecutivePortfolio summaries · Operational dashboards · Outcomes reportingNo (aggregate-only)

Stepped-up authentication for elevation

When a role attempts a tool call that would return Tier 3 data in unmasked form, MCP Connect challenges the user through your identity provider for additional authentication (typically a fresh factor, not a cached session). The elevation grant is single-use, time-bounded, and recorded in the audit log with a distinct elevation_event identifier. Subsequent calls in the same session do not inherit the elevation.

Token revocation

OAuth tokens issued to MCP Connect are revocable from your identity provider, from the Cotribute customer portal, or from the AI client's admin console. Revocation propagates within seconds and is recorded in the audit log.

Section 08

08 Operational controls and incident response

MCP Connect inherits the operational, security, and incident-response posture of the Cotribute platform, with documented additions specific to the MCP layer.

Encryption

Network controls

Rate limiting and abuse controls

Per-user and per-tenant rate limits prevent runaway query patterns. Anomalous behavior (sudden burst of Tier 3 elevation requests, atypical query volume) triggers alerts to both Cotribute and the institution's designated security contact.

Incident response

Cotribute maintains a documented incident response process inherited from the underlying platform. Security-relevant incidents affecting your tenant are reported to your designated security contact within the timeframes specified in your customer contract. The MCP Connect scope addendum specifies notification timelines that are equal to or stricter than the platform baseline.

Business continuity

MCP Connect is operationally part of the Cotribute platform and inherits its disaster-recovery, backup, and continuity controls. SLA on Enterprise tier is 99.95% uptime with credits-back. Detailed RTO and RPO figures are available under NDA and form part of the standard vendor due-diligence pack.

Certifications

Section 09

09 Pre-filled TPRM questionnaire responses

The following responses are written to be pasted directly into your standard vendor intake or oversight questionnaire. Cotribute will sign attestations of these responses as part of your contracting process.

Q1. Does the service process personally identifiable information (PII) or nonpublic personal information (NPI)?
Cotribute response
Yes. MCP Connect provides access to the same records your authorized staff already access in the Cotribute platform, which include PII and NPI. By default, sensitive PII fields (SSN, full date of birth, full account number) are masked in responses returned to AI clients. Full-value access requires elevated permission and stepped-up authentication, and each such event is independently logged.
Q2. Is customer data used to train any artificial intelligence or machine learning models?
Cotribute response
No. Cotribute contractually commits no-train on the MCP layer. The enterprise AI platforms supported by MCP Connect (Microsoft 365 Copilot Enterprise, Anthropic Claude for Enterprise, OpenAI ChatGPT Enterprise) each carry their own contractual no-train commitments for enterprise tenant data. No bulk data extracts cross the Cotribute boundary.
Q3. Where is customer data stored and processed?
Cotribute response
The Cotribute platform stores customer data in the United States. MCP Connect runs in the same infrastructure region. Data residency options are configurable for Enterprise-tier customers; specifics are available in the technical addendum to the customer contract.
Q4. What encryption is applied at rest and in transit?
Cotribute response
TLS 1.3 in transit between AI clients, the MCP server, and the underlying Cotribute platform. AES-256 at rest for audit log and configuration storage. OAuth tokens are short-lived and rotated automatically.
Q5. What authentication mechanism is used for service access?
Cotribute response
OAuth 2.1 with PKCE, federated to the customer's existing identity provider (Microsoft Entra ID, Okta, Google Workspace, or Ping Identity). The named human user issuing each query is propagated to every tool call. No shared accounts. No service-to-service tokens that bypass user identity.
Q6. How are access controls managed and reviewed?
Cotribute response
Access is governed by role-based scope mapped from the customer's identity provider groups. Seven default roles ship with the service; the catalog is fully editable in the Cotribute customer portal. Stepped-up authentication is required for elevation to Tier 3 (sensitive PII) access. All grants, revocations, and elevation events are logged.
Q7. How long are audit logs retained, and how are they accessed?
Cotribute response
Seven years by default, configurable upward by contract. Storage is append-only with cryptographic batch integrity. Logs are exportable in CSV and JSON through the Cotribute customer portal by the customer's designated compliance and risk roles, without ticket or wait. Export records the export action itself.
Q8. What audit certifications and attestations does Cotribute hold?
Cotribute response
SOC 2 Type II, with a documented MCP scope addendum reviewed annually. Annual penetration testing of the MCP server boundary with summary report available under NDA. Vendor questionnaire packs pre-filled and aligned to FFIEC IT Examination Handbook and NCUA 2026 supervisory priorities.
Q9. How are security incidents detected, reported, and managed?
Cotribute response
MCP Connect inherits the Cotribute platform's documented incident response process. Security-relevant incidents affecting the customer's tenant are reported to the customer's designated security contact within the timeframes in the customer contract. The MCP Connect scope addendum specifies notification timelines equal to or stricter than the platform baseline. Anomalous query patterns generate automated alerts to both Cotribute and the institution.
Q10. What rights does the customer have to suspend or terminate the service?
Cotribute response
OAuth tokens are revocable at any time from the customer's identity provider, from the Cotribute customer portal, or from the AI client's admin console. Revocation propagates within seconds. The MCP Connect addendum to the customer contract specifies termination rights and post-termination data handling consistent with the platform-level contract.
Q11. What subprocessors are involved?
Cotribute response
The MCP Connect subprocessor list is a subset of the Cotribute platform subprocessor list, with no additions specific to MCP. The AI clients (Microsoft, Anthropic, OpenAI) are not subprocessors of Cotribute; they are vendors selected and contracted directly by the customer institution. The customer's existing data processing agreements with those vendors govern the AI client side of the relationship.
Q12. How does the service handle adverse-action decisions, fair lending obligations, and consumer disclosure?
Cotribute response
MCP Connect does not make credit, fraud, account-opening, or adverse-action decisions. Those decisions remain in the customer's existing decisioning systems (Decision Intelligence+, FraudGuard+, underwriter review). The AI retrieves data and drafts text; the human staff member sends consumer communications and is the named author for disclosure purposes. CFPB AI-related circulars, ECOA / Regulation B, Regulation Z, and FCRA obligations attach to the existing decisioning and notification systems unchanged by the introduction of MCP Connect.
Section 10

10 Implementation checklist for your risk team

A concrete list of validation steps your CRO, GRC, and TPRM teams may want to complete during evaluation and before go-live.

Pre-contract due diligence

Configuration and onboarding

Pre-launch validation

Ongoing monitoring

Section 11

11 Questions to ask in your walkthrough

Concrete prompts your risk team can bring to a 30-minute walkthrough with Cotribute. Each is designed to test a specific control rather than a marketing claim.

  1. Show me the audit log for a query my staff member just ran. The team should be able to point at a specific entry, show all the fields described in Section 05, and explain how each field is populated.
  2. What happens when a Member Services rep asks for a full SSN? The team should demonstrate that the AI client receives a masked value, that no elevation prompt is offered to a non-elevated role, and that the denial is logged.
  3. What happens when an elevated Compliance Analyst asks for a full SSN? The team should show the stepped-up authentication challenge, the recording of the elevation event, and the masked-vs-full classification tag on the resulting audit log entry.
  4. Demonstrate token revocation. Have Cotribute revoke a token from the portal and show that the AI client's next call is rejected.
  5. Show me the SOC 2 Type II report and the MCP scope addendum. Confirm the latest report covers the MCP Connect boundary in the audit scope.
  6. What is the no-train commitment in the contract? Cotribute should point at specific contract language and explain how it flows down to the AI client side.
  7. What happens to my data if I terminate the service? The team should describe the post-termination data handling, audit-log access window, and any wind-down obligations.
  8. What MCP tools are in the catalog today, and how do new tools get added? The team should walk through the tool catalog, explain change management for additions, and explain how role mapping is updated when the catalog changes.
  9. How do I prove to my examiner that the AI did not make a credit decision? The team should explain the contract language, the absence of decisioning tools in the catalog, and the audit-log evidence that supports the assertion.
  10. What happens during a Cotribute platform incident? The team should describe communication channels, expected timeframes, and how MCP Connect-specific incidents differ from platform-wide incidents in handling.
  11. Walk me through a fair-lending review using MCP Connect. The team should demonstrate how the Compliance Analyst role accesses adverse-action notice timing, decision rationale, and reason codes — without the AI participating in the decision itself.
  12. What is on the roadmap that might change this risk picture? The team should be transparent about future capabilities (e.g., MCP Pro, scoped write actions) and explain how those capabilities will be contracted, scoped, and audited separately.
Section 12

12 Contact and follow-up

If your risk team has questions that are not answered by this document, please reach out through one of the channels below.

For evaluation conversations

Contact your Cotribute account manager. If you are evaluating MCP Connect ahead of becoming a Cotribute customer, the team at hello@cotribute.com will route you to a representative.

For technical or security follow-up

The Cotribute customer portal includes a dedicated CRO & TPRM document library with the SOC 2 Type II report, the MCP scope addendum, the penetration test summary, and the subprocessor list. Access is granted to your institution's designated risk roles after contracting.

For an updated version of this brief

This document is maintained on a quarterly cadence to reflect regulatory updates and product changes. The most recent version is available at the Cotribute MCP Connect landing page. The version stamp on the cover indicates the publication date.

Schedule a 30-minute walkthrough. The most efficient way to use the questions in Section 11 is in a single 30-minute video session with a Cotribute solution engineer and a representative of your CRO or TPRM team. Your account manager can schedule this in a week.