AI Workforce Security and Compliance Checklist

Security cannot be a final sprint item for AI platforms.

If you connect channels, process customer conversations, and route billing events, your risk surface is already enterprise-grade.

This checklist helps operators and technical teams audit AI workforce readiness.

1) Tenant Isolation

Required Controls

• Company-scoped data model for all operational tables
• Route-level company context validation
• Row-level security policies that prevent cross-company reads

Validation Test

Attempt cross-company query access with a non-owner user and confirm denial.

2) Identity and Access

Required Controls

• Session validation on every write route
• Owner/admin/member role model
• Super admin route protection for platform-level operations
• MFA flag or 2FA controls for high-privilege users

Validation Test

Try privileged actions (billing updates, account bans) as a member role and confirm rejection.

3) Secret and Credential Handling

Required Controls

• No client-side secret exposure
• Encrypted integration tokens at rest
• Secret rotation process for API keys
• Environment-variable based runtime configuration

Validation Test

Inspect client bundles and browser network calls to verify no service-role keys are exposed.

4) API Security

Required Controls

• Rate limiting on sensitive endpoints
• Same-origin checks for write routes
• Input validation and payload bounds
• Typed route contracts

Validation Test

Load test high-risk endpoints and verify throttling behavior.

5) Webhook Security

Required Controls

• Webhook signature verification
• Replay protection strategy
• Event idempotency handling
• Audit log entry for webhook outcomes

Validation Test

Replay webhook payload with invalid signature and confirm rejection.

6) Audit and Forensics

Required Controls

• Immutable-like audit log for critical actions
• Actor, resource, action, timestamp fields
• Retention policy and access controls

Validation Test

Perform an admin action (plan change, account ban) and verify complete audit trail.

7) Data Lifecycle Controls

Required Controls

• Data export capability per tenant
• Workspace disable/delete process
• Retention timelines for conversations and logs
• Recovery policy for accidental deletion

Validation Test

Run export for a sample workspace and verify coverage of primary tables.

8) AI Safety Boundaries

Required Controls

• Structured prompt construction from approved data
• Role-based response constraints
• Escalation rules for sensitive cases
• No uncontrolled cross-tenant learning

Validation Test

Run adversarial prompts and confirm bounded outputs with escalation behavior.

For training structure, see AI Sales Employee Playbook and Support Automation for Service Businesses.

9) Payment and Financial Data Controls

Required Controls

• Verified payment signatures
• Invoice integrity logs
• Subscription status reconciliation
• Limited exposure of billing metadata

Validation Test

Inject invalid payment signature and confirm transaction rejection.

10) Operational Readiness

Required Controls

• Incident response path
• Alerting for auth failures and webhook errors
• Environment separation for dev/staging/prod
• Documented runbooks

Validation Test

Simulate outage and verify team response within target time window.

Security Scorecard Template

Use a score of 0-2 per section:

• 0 = missing
• 1 = partial
• 2 = complete

A score under 16/20 indicates high operational risk before scaling.

Final Recommendation

Security maturity is not "enterprise later."

It is what allows you to onboard enterprise clients without re-platforming.

CTA

Build with security from day one and scale with confidence. Start with WellStreak at Signup and review deployment tiers at Pricing.