How do I control what AI can access?

AI permissions work like user permissions. Controls: data access (which databases, documents), action permissions (read vs write vs delete), scope limits (only specific customers, only certain actions), and approval requirements (high-sensitivity actions need human approval). Apply principle of least privilege—give AI only permissions absolutely needed.

Should AI have admin access to systems?

Generally, no. AI should have minimum necessary permissions. Exceptions might include: AI-managed infrastructure with proper logging, automated systems with human oversight, or situations where AI's role is administration. Even then, apply additional controls: audit logging, approval workflows, rate limits, and human review for unusual actions.

What permissions does a customer service AI need?

Typical customer service AI needs: READ access to customer records, order history, FAQs; WRITE access limited to updating tickets, sending replies; NO access to payment details, passwords, or ability to process payments/refunds directly. Use intermediaries—AI triggers payment system with human approval rather than direct access.

How Do I Set Permissions for AI System Access?

AI needs access to do its job—but too much access creates risk. Here's how to set the right permissions.

AI Permission Types

Permission	Description	Risk Level
Read	View information	Lower
Write	Create/update records	Medium
Delete	Remove data	High
Execute	Run operations	Varies
Admin	Full control	Highest

Least Privilege Principle

Give AI minimum permissions needed:

Question: What does AI actually need to do the job?
Not: What might be convenient?
Start minimal: Add permissions as needed
Review regularly: Remove unused access

Example Permission Sets

AI Role	Read Access	Write Access	No Access
Customer chatbot	Orders, FAQs	Tickets	Payments, passwords
Sales assistant	CRM, product info	Leads, notes	Contracts, pricing
HR assistant	Policies, handbook	Tickets	Personnel files, salary
Finance assistant	Reports	Drafts only	Transactions, send $$

Data Scope Limits

Restrict what data AI sees:

By owner: AI only sees assigned customers
By department: Sales AI sees sales data only
By sensitivity: Public info only for AI
By time: Recent records only, not archives

Action Limits

Control what AI can do:

Rate limits: Max actions per hour
Value limits: Max transaction value
Approval required: Actions over threshold need human
Blocked actions: AI can suggest but not execute

Approval Workflows

Human gate for sensitive actions:

AI suggests action: Draft email, proposed refund
Human reviews: Check details
Human approves/rejects: Decision logged
AI executes (if approved): Sends email

Audit Logging

Track everything AI does:

All access: What data AI viewed
All actions: What AI created, modified, deleted
All decisions: Why AI made choices
Timestamps: When actions occurred
Review: Regular log audits

API Key Security

AI's credentials need protection:

Scoped keys: Limited permissions per key
Secret management: Use proper vaults, not plain text
Rotation: Change keys regularly
Monitoring: Alert on unusual API usage

Integration Security

When AI connects to systems:

Service accounts: Dedicated accounts for AI
Separate from human accounts: Easier to track
Named integration: "AI Assistant" not shared account
IP restrictions: Only from authorized systems

Permission Review Process

Regular audit: Review quarterly
Unused permissions: Remove
Changed roles: Update accordingly
Incident review: After any issue, check permissions

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