Overbroad OAuth scopes
The vendor integration requested read/write access to systems that were not required for the intended AI workflow.
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05Regulated WorkflowsAthena + AchillesEnterprise AI Deployment Assurance
Partner / Vendor AI Integration
A partner or vendor AI integration occurs when a company connects an outside AI product, SaaS AI feature, chatbot, model API, or partner workflow into its environment.
Buyer question
What changes when a third-party AI system enters our data, workflow, user, and control environment?
Scenario
Scenario overview
A company wants to adopt a vendor AI tool or connect a partner AI workflow. The vendor may request access to tickets, documents, records, users, APIs, analytics, CRM data, support notes, logs, or business systems. This can speed adoption and add capabilities without building everything internally. But it can also create unclear data paths, overbroad access, weak evidence, and vendor claims that are hard to verify.
Why it matters
Why this matters
A vendor AI feature can become part of the customer's real operating environment. The buyer needs to know what the vendor can access, where data goes, what gets retained, which model/provider routes are used, and what evidence supports the vendor's claims.
Risk surface
What can go wrong
- OAuth scopes are broader than needed.
- Vendor AI summarizes private internal notes.
- Vendor retention or training-use claims are unclear.
- Tenant boundaries are not proven.
- Vendor documentation does not match actual configuration.
- AI output flows into customer workflows without review.
- Audit logs are incomplete.
- Offboarding does not revoke all access.
Assessment scope
What Mythos reviews
- Vendor access request
- OAuth and API scopes
- Data flows
- Connected systems
- Tenant boundaries
- Retention and training-use claims
- Model/provider routes
- Audit logs
- Vendor documentation
- Subprocessors
- Offboarding
- Customer-side controls
- Prompt injection through vendor-handled content
Mythos projects
Projects assigned
Athena
maps vendor access, data paths, permissions, retention evidence, vendor documentation, customer-side controls, logs, and integration risk.
Achilles
tests AI behavior, prompt injection exposure, output handling, permission boundaries, and release readiness.
Minotaur
may support internal-only adversarial vendor-document, prompt injection, and integration misuse scenarios.
Illustrative findings
Example findings
Illustrative examples of what a Mythos assessment may surface. They are representative patterns, not findings from a specific customer.
Private notes surfaced
Vendor AI summaries included internal-only support notes in a context that could become customer-visible.
Vendor evidence incomplete
Retention, training-use, subprocessor, model route, and tenant-boundary documentation did not support the vendor's claims.
Vendor output flowed into workflow status
AI-generated output could change customer workflow state without human review.
Offboarding incomplete
Removing the integration did not revoke all background sync tokens.
Deliverables
What the customer receives
- Vendor integration map
- Data-flow matrix
- Permission and scope review
- Vendor evidence gap register
- Vendor question package
- Technical findings appendix
- Evidence pack
- Remediation backlog
- Retest plan
- Approval recommendation
Decision
Decision supported
Whether the vendor AI integration should stay in sandbox, proceed to limited pilot, use restricted data only, require vendor evidence, or be blocked from production rollout.
Recommendation
Final recommendation
A vendor AI integration should not be approved based only on marketing language or convenience. Mythos should help the buyer prove what the vendor can access, what data leaves the environment, what controls exist, and what evidence is missing before rollout.
Mythos AI Security
Evidence-first AI deployment assurance.
Authorized. Scoped. Human-controlled.
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