AI acceptable use policy template
A free policy for how a small SaaS company uses AI: which tools are approved, what information may go into them, how output is reviewed, how coding assistants are set up and how AI is used in your product. Built in your browser from your generator answers, as Word or Markdown. No signup.
A companion to the Acceptable Use Policy
This is a standalone template, not one of the 22 policies in the Policyseed set. The Acceptable Use Policy already has one rule on AI tools. This template expands that rule into a full policy with the same nine sections, the same owner roles and the same data classification levels as the rest of the set, so it reads like it belongs with them. Every requirement in it is meant to be something a team of 5 to 50 people can run with the tools it already has: a list, a review, a few settings and a training slot.
What auditors and customers ask about AI
Customer security reviews often include questions about AI. The common ones are worth answering for yourself before someone asks:
- Do you or your AI providers use our data to train models?
- Which AI providers process our data, and are they on your sub-processor list?
- What stops your employees from pasting our data into AI tools?
- Is AI-generated content and code reviewed by a person before it reaches us or production?
- Which features in your product use AI, and what data do they send where?
A SOC 2 auditor approaches AI through controls you already have. AI tools are vendors, so they belong in the vendor inventory with a review. Their accounts follow your access process. The rules are part of what people are trained on and acknowledge. Code written with an assistant still goes through change management. The evidence that tends to come up is the same kind you keep elsewhere: the approved AI tools list with review dates, the vendor review for each tool, single sign-on and admin settings, training and acknowledgment records, and pull requests showing review. For drafting questionnaire answers, see the security questionnaire answers tool.
What is in the policy
- Purpose: Why the policy exists: AI tools are useful and are also a new way for information to leave the company.
- Scope: Everyone with a company account, and chat assistants, coding assistants, AI features in existing tools and AI in the product.
- Roles and Responsibilities: Executive Management, the Security Owner, the Engineering Lead, the People/HR Lead and all personnel.
- Policy Statements: Approved tools list, vendor review, accounts and SSO, data rules by classification, human review, code assistants, AI in the product, prohibited uses, incidents and training.
- Procedures: Step-by-step: requesting a tool, new AI features, the quarterly list check, coding assistant setup, releasing an AI feature, exposures, training.
- Exceptions: Written, time-limited exceptions, and the rules no exception can override.
- Enforcement: Proportionate consequences, with good-faith reporting protected.
- Review Cadence: Scheduled review plus review when tools, terms or the product change.
- Revision History: Version, date, description and approver.
How it maps to SOC 2
SOC 2 has no criterion written for AI. The table shows which existing Trust Services criteria each section helps you evidence, in Policyseed’s own mapping, not an official one. Your auditor decides what they test and how.
| Section | Criteria |
|---|---|
| 1. Purpose | CC5.3 |
| 2. Scope | CC5.3 |
| 3. Roles and Responsibilities | CC1.3, CC1.5 |
| 4. Policy Statements | CC1.1, CC6.1, CC6.2, CC8.1, CC9.2, C1.1 |
| 5. Procedures | CC1.4, CC2.2, CC4.1, CC7.3, CC7.4, CC9.2 |
| 6. Exceptions | CC5.3 |
| 7. Enforcement | CC1.1, CC1.5 |
| 8. Review Cadence | CC3.4 |
- CC1.1 Integrity and ethical values: the prohibited uses and enforcement section set expectations of conduct for a new class of tool.
- CC1.3 Structure, reporting lines and authority: named owners for the approved tools list, code assistant settings, product AI features and training.
- CC1.4 Competent people: personnel are trained on what may and may not go into AI tools before they use them.
- CC1.5 Accountability: the person who uses AI output is accountable for it, and violations have defined consequences.
- CC2.2 Internal communication: the rules are communicated to everyone and acknowledged, and questions have a named owner.
- CC3.4 Changes that affect risk: a new kind of AI tool or a change in a vendor's terms triggers a review of the policy and the risks.
- CC4.1 Ongoing and separate evaluations: the approved tools list is re-checked on a schedule, including a search for unapproved tools in use.
- CC5.3 Policies and procedures: the policy turns management's expectations for AI use into written statements and procedures.
- CC6.1 Logical access security: AI tools are used through company accounts with single sign-on or multi-factor authentication.
- CC6.2 User registration and deprovisioning: AI tool accounts are created through the normal access process and removed at offboarding.
- CC7.3 Evaluating security events: data entered into the wrong tool is treated as a security event and evaluated.
- CC7.4 Responding to incidents: AI-related exposures follow the incident response process, including containment and notification assessment.
- CC8.1 Change management: AI-generated code and AI features in the product go through the same review, testing and approval as other changes.
- CC9.2 Vendor and business partner risk: each AI tool is a vendor, reviewed before approval and re-checked, with its data terms recorded.
- C1.1 Identifying and protecting confidential information: confidential information is kept out of AI tools that are not approved for it (applies when Confidentiality is in your SOC 2 scope).
What your generator answers fill in
When you have answered the generator questions in this browser, the download and the preview below use those answers. Without them, the template uses role names and generic wording, and the preview shows a fictional sample company.
| Part of the policy | Filled from |
|---|---|
| Names throughout | company name and product name |
| Roles, approvals and revision history | Security Owner, approver, effective date |
| Accounts and the quarterly tool check | identity provider (single sign-on for AI tools where supported) |
| Coding assistants | source control (secret scanning and required review) |
| Data rules | data types: personal data, health data and payment data each add a stricter rule |
| Scope | vendor list (AI features inside tools you already use) |
| Incident reporting | incident contact |
| Training and review | policy review cadence |
Always yours to decide: which tools go on the approved list and at what classification, what each vendor’s terms actually say for your plan, and whether your contracts require you to tell customers about AI features. The template names no AI vendor and makes no statement about what any vendor does.
Related policies
- Acceptable Use Policy: the general rules for company accounts, devices and data; its AI rule is the one this template expands.
- Vendor and Third-Party Risk Management Policy: the review every AI tool goes through before it is approved, and again at each re-check.
- Data Classification and Handling Policy: the Public, Internal, Confidential and Restricted levels the data rules in section 4 are written against.
- Incident Response Policy: how an AI-related data exposure is reported, contained and assessed for notification.
- Secure Software Development Policy: the code review and secret scanning that AI-generated code goes through like any other code.
The policy, section by section
Below is the whole policy rendered for Northwind Cloud Inc, the fictional company in the sample Audit Kit. Every name, tool and vendor comes from that sample. If you have used the generator in this browser, your own draft appears here instead.
Sample document (fictional company)
Northwind Cloud Inc AI Acceptable Use Policy
1. Purpose
AI assistants, coding assistants and AI features inside everyday software can save the people at Northwind Cloud Inc real time. They also create new ways for information to leave the company: text pasted into a chat window, a file uploaded for a summary, a repository opened by an assistant, or a feature in Northwind that sends customer data to a model provider. Output can also be wrong in ways that look convincing.
This policy sets out which AI tools may be used, what information may go into them, how AI output is checked before it reaches customers or production, and how AI is used inside Northwind. It expands on the AI rule in the Northwind Cloud Inc Acceptable Use Policy and applies alongside the Data Classification and Handling Policy, the Vendor and Third-Party Risk Management Policy and the Incident Response Policy.
2. Scope
This policy applies to every employee, contractor, intern and temporary worker of Northwind Cloud Inc, and to anyone else granted a company account. It covers any use of AI for Northwind Cloud Inc work, on company or personal devices, including:
- AI chat assistants used through a website, desktop app, browser extension or phone app.
- AI coding assistants in editors, terminals, code review and the command line, including assistants that can run commands or change files on their own.
- AI features inside software Northwind Cloud Inc already uses, such as writing aids, meeting transcription and summaries, search over company documents and support ticket drafting. This includes any AI features in Supabase, Stripe, Datadog and Slack.
- AI models and APIs used in Northwind or in internal automation, whether called directly or through another vendor.
All information is covered according to its classification under the Data Classification and Handling Policy. Using a personal AI account for Northwind Cloud Inc work counts as using an unapproved tool.
3. Roles and Responsibilities
- Executive Management (Priya Natarajan, CEO) approves this policy, decides whether to accept the risk of AI features in Northwind, and makes sure the rules apply equally to everyone.
- Security Owner (Dana Whitfield, CTO) owns this policy and the approved AI tools list, reviews AI tools under the vendor risk process, answers questions about whether a use is allowed, and investigates reported exposures.
- Engineering Lead sets up approved coding assistants for the team, keeps secret scanning in GitHub enabled, and owns the testing, logging and switch-off of AI features in Northwind.
- People/HR Lead includes this policy in onboarding and security awareness training and keeps the acknowledgment records.
- All Personnel use only approved tools, follow the data rules in section 4, review AI output before relying on it, and report mistakes promptly.
4. Policy Statements
- 4.1 Northwind Cloud Inc work uses only AI tools on the approved AI tools list, which the Security Owner (Dana Whitfield, CTO) owns and keeps in [Fill in: where the approved AI tools list is kept, for example the security wiki]. For each tool the list records the vendor, the approved uses, the highest data classification allowed, whether a company account and single sign-on are set up, who reviewed it and when, and when it is next reviewed. A tool that is not on the list is not approved, however widely it is used elsewhere.
- 4.2 An AI tool is approved only after it has been reviewed as a vendor under the Vendor and Third-Party Risk Management Policy. The Security Owner reads the vendor's current terms for the plan Northwind Cloud Inc will actually use and records what they say about whether inputs and outputs are used to train models, how long they are kept, who at the vendor can see them, which sub-processors are involved, where data is stored and which admin controls are available. Terms differ between a vendor's plans and change over time, so they are checked for the specific plan and re-checked at every review; nothing is assumed from marketing pages or from another company's choice.
- 4.3 AI tools are used only through company accounts, with single sign-on through Okta where the tool supports it, and multi-factor authentication where it does not. Accounts are requested and removed through the Access Control Policy process and are removed at offboarding like any other account. Personal accounts and free plans are not used for any information above Public.
- 4.4 Information goes into an AI tool only as the table below allows, based on its classification under the Data Classification and Handling Policy. Credentials, passwords, API keys, tokens, private keys and connection strings are never entered into any AI tool, approved or not. Customer data is entered only into a tool the list approves for Restricted data and whose terms the Security Owner has confirmed do not allow the vendor to train models on it. When unsure, treat the information as the higher level and ask the Security Owner first.
| Classification | Approved AI tool | Any other AI tool |
|---|---|---|
| Public | Allowed | Allowed |
| Internal | Allowed | Not allowed |
| Confidential (for example source code, contracts, financials, security configurations) | Only if the approved tools list allows Confidential for that tool | Not allowed |
| Restricted (customer data, credentials, secrets, keys, incident details) | Customer data: only in tools the list approves for Restricted data, with no-training terms confirmed. Credentials, secrets and keys: never. | Not allowed |
| Personal data | Only where the task needs it and the tool is approved for it; remove names, emails and identifiers the task does not need | Not allowed |
- 4.5 Personal data is entered into an approved AI tool only when the task needs it. Personnel remove or replace names, email addresses, account identifiers and other details the task does not need before pasting, and never use AI tools to build profiles of individuals or to look up information about them.
- 4.6 AI output is a draft. A person reviews it before it reaches a customer, is published, is relied on for a security, legal, financial or contractual decision, or is used in production. The reviewer checks facts, figures, names, links and references, and is accountable for the result as if they had written it. Answers to customer security questionnaires drafted with AI are checked against how Northwind Cloud Inc actually operates before they are sent. AI is not the only basis for decisions about individuals, such as hiring or performance.
- 4.7 Coding assistants are used only if they are on the approved list and signed into with a company account. AI-generated code goes through the same pull request review, automated tests and approval as any other change under the Secure Software Development Policy and the Change Management Policy, and the reviewer is told when a change is substantially AI-generated. Secret scanning in GitHub stays enabled and is never bypassed. Where the tool offers settings to exclude files such as environment and secrets files, or to flag suggestions that match public code, they are turned on. Code that looks copied from a recognizable outside project is checked for its license before it is merged.
- 4.8 Assistants that can run commands, change files or act in other systems on their own are given the narrowest access that does the job. They are never given production credentials or administrator tokens, their changes reach production only through the normal review and deployment path, and connecting any AI tool to company email, documents, chat, GitHub or cloud accounts through an integration or OAuth grant needs Security Owner approval as a separate entry on the list.
- 4.9 When Northwind uses an AI model or API to deliver a feature, the model provider is reviewed and recorded as a vendor, and as a sub-processor where customer agreements require one. Customer data is sent to it only under terms the Security Owner has confirmed on training use and retention. Customers are told about the feature and the provider where customer contracts or applicable law require it. Before release the feature is tested for wrong, harmful or unexpected output and for attempts to make it ignore its instructions or reveal other customers' data. Requests and responses are logged in line with the Logging and Monitoring Policy, keeping only what is needed, and the feature can be switched off without a full release.
- 4.10 The following are prohibited: entering information into an AI tool beyond what the table in 4.4 allows; using AI to get around a security control, write malware or probe systems Northwind Cloud Inc does not own; using AI to impersonate a real person or to produce content meant to mislead customers or colleagues; and presenting AI output to a customer as reviewed when it was not.
- 4.11 Entering Confidential or Restricted information into an AI tool not approved for it, an AI tool showing one person's data to another, or AI output that exposes information it should not, is a security event. It is reported to security@northwindcloud.example as soon as it is noticed and handled under the Incident Response Policy. Prompt good-faith reporting, including of one's own mistake, is never penalized.
- 4.12 Everyone completes training on this policy before using AI tools for Northwind Cloud Inc work and again at each annual review, and acknowledges the policy in writing. The training covers the approved list, the data table in 4.4, reviewing output and how to report a mistake.
5. Procedures
5.1 Requesting a new AI tool or AI feature
- The requester sends the Security Owner the tool name, the vendor, the plan, the business need, the people who will use it and the highest classification of information it will touch.
- The Security Owner reviews the vendor under the Vendor and Third-Party Risk Management Policy and records the terms listed in 4.2, using the vendor's current published terms, its security documentation or report, and the admin settings of the plan.
- The Security Owner decides within five business days: approved, approved with limits (for example Internal information only), or declined, and records the decision and the reason.
- If approved, the tool is added to the approved AI tools list with its allowed classification, a company account is set up with single sign-on through Okta where supported, and admin settings such as conversation retention or training opt-outs are set as the review requires.
- The Security Owner tells the requester and the people who will use it what the tool is approved for.
5.2 Turning on an AI feature in a tool already in use
An AI feature added to an existing tool is treated as a new request under 5.1, because it may send data to a new sub-processor or under different terms. Where the tool lets an administrator keep new AI features off until they are reviewed, they stay off until the review is done.
5.3 Quarterly check of the approved list
- The Security Owner re-reads the terms of each approved tool and records any change that affects its approval.
- The Security Owner looks for AI tools in use that are not on the list, for example in the Okta connected apps and OAuth grants, browser extension reports where available, and expense reports.
- Unapproved tools found are either reviewed under 5.1 or removed, and the people using them are reminded of this policy.
- Tools no one uses any more are removed from the list and their accounts are closed.
- The check, its date and its findings are recorded with the list.
5.4 Setting up coding assistants
- The Engineering Lead sets up each approved coding assistant under a company account or organization, not individual personal accounts.
- The Engineering Lead turns on the file exclusions and public-code filters the tool offers, and records the settings used.
- The Engineering Lead confirms that secret scanning and required pull request review are enabled in GitHub for every repository the assistant can reach.
- Assistants that can act on their own are limited to development environments and given scoped, short-lived credentials.
5.5 Releasing an AI feature in Northwind
- The Engineering Lead records the feature, the model provider, the customer data it sends and the reason it needs that data.
- The Security Owner confirms the provider is an approved vendor with confirmed terms on training use and retention, and checks whether customer contracts require notice or an update to a sub-processor list.
- The feature is tested before release for wrong or harmful output, for attempts to override its instructions and for any path that could expose one customer's data to another. Test results are kept with the change record.
- Logging, data minimization and the switch-off method are in place and documented.
- Executive Management (Priya Natarajan, CEO) approves the release and any customer communication the contracts require.
5.6 Handling an AI-related exposure
- The person who notices reports it to security@northwindcloud.example immediately, with what was entered, into which tool, under which account and when.
- The Security Owner records it as a security event under the Incident Response Policy and decides its severity.
- The content is deleted from the tool where the tool allows, and deletion is requested from the vendor where its terms provide for it. The request and the answer are kept.
- Any credential, key or token that was exposed is rotated straight away, whether or not the tool was approved.
- If customer or personal data was involved, the notification assessment in the Incident Response Policy is carried out.
- The cause is recorded and the approved list, training or tool settings are updated to stop it happening again.
5.7 Training and acknowledgment
The People/HR Lead includes this policy in onboarding, before AI tool access is granted, and in the annual security awareness training. Each person acknowledges the policy in writing, and the acknowledgment and training completion are kept with the other policy acknowledgments.
6. Exceptions
Exceptions are approved in writing by the Security Owner, recorded in the exception register with the business reason, the compensating controls and an expiry date no later than twelve months out, and reviewed at each annual review. No exception permits entering credentials, secrets or keys into an AI tool, or sending customer data to a tool whose terms the Security Owner has not reviewed.
7. Enforcement
The People/HR Lead and the Security Owner handle violations together. Consequences are proportionate to intent and impact and range from a documented conversation and retraining, through removal of access to AI tools, to termination of employment or contract. Deliberately sending customer data or secrets to an unapproved tool, or hiding an exposure, is escalated to Executive Management. Mistakes reported promptly in good faith are treated as a chance to improve the rules and the training.
8. Review Cadence
The Security Owner reviews this policy at the annual policy review, when Northwind Cloud Inc adopts a new kind of AI tool or adds AI to Northwind, when a vendor on the approved list materially changes its terms, and after any incident in which AI use was a contributing factor. Revisions are approved by Priya Natarajan, CEO, recorded in section 9 and re-acknowledged by all personnel.
9. Revision History
| Version | Date | Description | Approved by |
|---|---|---|---|
| 1.0 | 2026-09-02 | Initial release | Priya Natarajan, CEO |
Download this policy as Word or Markdown. More free documents are on the templates page.
Frequently asked questions
- Is an AI acceptable use policy part of SOC 2?
- Not as such. SOC 2 has no AI-specific criterion, and this template is not one of the 22 Policyseed policies. AI use is covered through criteria that already exist: an AI tool is a vendor (CC9.2), its accounts are logical access (CC6.1, CC6.2), the rules are communicated and trained (CC2.2, CC1.4), AI-generated code is a change (CC8.1), and keeping confidential information out of the wrong tools supports C1.1 when Confidentiality is in scope. The mapping on this page is Policyseed's own reading; your auditor decides what they test.
- Is the Acceptable Use Policy not enough?
- For some small teams it is. The Policyseed Acceptable Use Policy already has one rule on AI: only approved tools, and no customer data, secrets, personal data or unreleased code in them unless the Security Owner has confirmed the terms allow it. A separate AI policy helps once several AI tools are in daily use, once you build AI into your product, or once customers start asking how you govern it. If you adopt it, keep the two consistent.
- Which AI tools does the template approve?
- None. It does not name any AI vendor, and it does not say what any vendor does with your data. Terms differ between a vendor's plans and change over time, so the policy requires the Security Owner to read the current terms for the plan you actually use and record what they say about training on your inputs, retention, access, sub-processors and admin controls. The only vendor names in your download are the ones from your own generator answers.
- People already use AI tools without approval. Where do we start?
- Start the approved list from what is already in use. Ask the team, look at connected apps and OAuth grants in your identity provider and at expense reports, and put each tool through the request procedure in section 5. Set a date after which unapproved tools stop being used for company work. If customer data or secrets were entered into a tool before the review, treat it as a security event under your incident response policy and rotate any exposed credentials.
- Does the template cover laws about AI?
- No. It is an internal governance policy, not a legal analysis. Whether a law or a customer contract requires something specific for your AI use, such as telling customers about an AI feature, depends on where you operate and what you have agreed. The template says to check this wherever it applies and leaves the answer to you and your counsel. Nothing on this page is legal advice.
Policyseed provides governance policy templates and AI tailoring. It is not legal advice and not a compliance guarantee. Management adopts the policies; the CPA firm performs the SOC 2 examination.