A practical checklist for adopting AI tools safely: data classification, access controls, retention, training settings, integrations, logging, vendors and incident response.
Editorial analysis is kept separate from provider claims and measured results. Automated tools may assist organization or drafting, while factual claims remain subject to sourcing and correction controls.
Editorial guidelines•Sourcing & verification•CorrectionsClassify data before choosing the tool
List the information employees may send to the AI system: public content, internal documents, customer records, source code, credentials or regulated data. Different classes should have different rules. A product that is acceptable for public marketing copy may not be approved for confidential contracts. Make the distinction explicit so users are not forced to guess.
Review vendor data handling
Understand where data is processed, how long prompts and files are retained, whether content may be used for model improvement and what controls exist for business accounts. Review deletion, export, regional processing and subprocessors where these matter to your organization. Do not assume consumer and enterprise plans have identical terms.
Apply least privilege to integrations
AI tools may connect to email, cloud drives, repositories, calendars and customer systems. Grant only the permissions needed for the approved workflow. Review OAuth scopes and remove unused integrations. Sensitive write actions should require deterministic authorization and, where appropriate, human confirmation.
Protect secrets and identities
Do not place passwords, API keys or private tokens in prompts. Use secret-management systems for machine credentials. Enforce single sign-on, multi-factor authentication and role-based access where supported. Log administrative changes and high-impact AI actions so incidents can be investigated.
Create an operational review cycle
Maintain an approved-tool inventory with owner, purpose and review date. Reassess products when terms, integrations or major features change. Define how users report accidental data exposure or suspicious AI behavior. Security is not a one-time questionnaire; governance must be able to update as products change.
Frequently Asked Questions
Can employees paste confidential data into any paid AI tool?
No. Payment does not automatically make a product suitable for confidential data. Use your organization’s approved tools and data policy.
What is the first security control to implement?
Data classification and an approved-use policy. Users need to know which information is allowed in which AI systems.
How often should AI vendors be reviewed?
Review on a regular schedule and when material changes occur in product features, terms, subprocessors or integrations.
