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1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesCan multiple game studios safely use the same generative AI system? Yes, if they treat it as a governed information-sharing arrangement—not as a private tool by default. Studios need to define which data may be submitted, who can access it, what the provider may do with it, and how incidents, deletion, and offboarding will work. No single vendor setting or law answers those questions for every studio.
Will the AI provider train on your game code or assets? That depends on the product, data category, account settings, and applicable terms. “No training” promises may have exceptions, and they do not override restrictions attached to an engine or licensed asset.
Start by mapping where studio data goes
A shared AI service can connect each participating studio not only to a vendor, but potentially to shared interfaces, logs, retrieval stores, feedback channels, and outputs. Before enabling it, map the actual path for each data type:
Studio user → shared interface or orchestration layer → model provider and subprocessors → logs, retrieval store, feedback channel, and generated output.
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At each point, establish whether one studio can see another’s prompts, uploaded files, outputs, or usage logs. Do not assume that separate studio teams or projects are isolated just because they use separate accounts or workspaces; confirm what the deployed service and contract actually provide.
NIST Special Publication 800-47 Revision 1 provides a general framework for protecting information before, during, and after an exchange or access relationship. Applied here, it means identifying exchanges, selecting protections, and documenting responsibilities in agreements suited to the studios’ needs.
Classify what users may submit
Agree on data categories before users start experimenting. A practical inventory for a game studio includes:
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- Source code, scripts, unreleased builds, and technical documentation.
- Design documents, level layouts, character concepts, dialogue, story material, and other unreleased creative work.
- Voice recordings, likeness data, player data, credentials, and other personal or security-sensitive information.
- Third-party licensed assets and material received under confidentiality or other use restrictions.
This is a working checklist, not a complete legal classification. Ownership and permitted use can differ even within a single project: a studio may own some code, hold a limited license for an asset, and owe separate duties concerning player or employee information. Assign submission rules at the data-category level, and make the stricter rule clear wherever a dataset combines categories.
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Vendor statements are not interchangeable. The examples below describe particular published terms or policies; they should not be read as promises about every product from the same company.
| Product or terms | What the cited terms say | What to verify for your workflow |
|---|---|---|
| Unity AI | Unity’s AI Guiding Principles say training Unity AI models directly on developer content is off by default. They also describe an organization allowing Unity to use Developer Data—including prompts, responses, interactions, code, and other content—to improve certain Unity AI models for all developers. The principles distinguish those models from generative asset models. Unity Credits are described as usable by users in an organization. | Check the current terms, organization settings, and exact Unity AI feature. Identify whether the data is Developer Data and whether the model or feature involved falls within the stated distinction. |
| Epic’s UEFN Supplemental Terms | The terms say Epic will not use Developer-Made Content, or license it to third parties, to train Generative AI Programs, subject to stated exceptions: localization training on corrections unless opted out, and feedback explicitly provided to the Developer Assistant. They also warn that Developer-Made Content shared in the service may be visible to others and may be captured or shared in gameplay footage and screenshots outside Licensed Products. | Confirm that the UEFN terms apply to the service and content at issue. Do not treat the training language as a general confidentiality guarantee or a universal Epic policy. |
| Epic Terms of Service | The current Terms of Service restrict using code or content extracted from Licensed Products as training input for a Generative AI Program, or as prompt-based input where that program trains on input data. | Check whether the product, material, and contemplated use fall within the relevant terms. Do not extend this restriction to other engines or services without checking their own terms. |
These are examples of why the answer to “Will the AI provider train on our game code or assets?” must be checked against the actual account configuration and agreement. A setting may govern one data category or feature but not another, and a provider’s policy does not determine whether a studio is allowed to submit material licensed from someone else.
Set studio and project access boundaries
Decide who may submit, retrieve, retain, or export each data category, both within a studio and across the shared service. Where the service supports them, use separate identities and least-privilege access for studios and projects. Define approval paths for sensitive submissions, contractor access, and what happens when a person changes teams or leaves.
Make the boundaries operational: document which teams are authorized to use which projects, who can view shared logs or retrieval collections, and who can export generated results. Test the permissions that matter in the actual configuration rather than relying only on an architecture diagram or a general description of the product.
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Inter-studio arrangements and vendor contracts should answer different sides of the relationship. The studios need to agree with one another about permitted purposes, ownership and reuse of prompts and outputs, incident cooperation, and who is responsible for approvals. The vendor agreement and product settings determine what the provider and its subprocessors may do with submitted information.
Review the following terms and controls before approving production use:
- Prompt and file retention, human review, model training or improvement, and use of feedback.
- Subprocessors, data location, deletion procedures, data export, and what happens when service ends.
- Incident notification, cooperation during an investigation, and any audit evidence the provider can supply.
- Permitted purposes and reuse of prompts and outputs between participating studios.
- Offboarding steps for users, projects, data stores, and accounts when a studio leaves the arrangement.
Confirm that product settings implement the intended choices; contract wording alone may not configure an account. Likewise, a product toggle cannot change a restriction imposed by an engine agreement, marketplace terms, or an asset license. Review those sources independently for each workflow.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Match review to the risk of the output
Use human review for generated code and creative assets, with additional scrutiny where the result could affect security, rights, or confidential work. For generated or agent-executed code, include a security review rather than treating successful generation as validation. Check provenance and applicable licenses before integrating generated assets into a game.
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Set explicit escalation routes for prompts or outputs involving personal data, confidential material, or uses with significant potential impact. The right amount of review depends on the data, feature, and intended use; a low-risk brainstorming workflow does not establish that an agent permitted to change project files is safe under the same controls.
Use frameworks to assign responsibilities, not to claim automatic compliance
NIST SP 800-218A, published July 26, 2024, supplements the Secure Software Development Framework with AI-specific practices for model producers, system producers, and acquirers. Its recommendations include recording security requirements, considering data-classification policy, and communicating requirements to third parties. For a multi-studio service, that is useful when translating internal expectations into supplier and development requirements.
The NIST AI Risk Management Framework is voluntary, not a binding certification or universal legal requirement. NIST’s framework page reports that its Generative AI Profile was released July 26, 2024, and that AI RMF 1.0 is being revised. Use the framework to structure risk work, not to imply that adopting it alone settles legal or contractual duties.
The European Commission published guidance on the scope of general-purpose AI model provider obligations on July 18, 2025, with those obligations applying from August 2, 2025. The guidance concerns providers of general-purpose models; a studio using a provider’s model is not automatically a provider. A studio’s classification and obligations depend on its conduct, such as changes or distribution, and on jurisdiction-specific facts.
Make the go/no-go decision on evidence
Before allowing a shared system into production, the studio technology, security, and legal leads should be able to point to an approved use policy, a system and model inventory, and a decision log showing why the proposed data and access are acceptable. A useful comparison of candidate systems covers studio and project isolation; retention and training defaults; permission granularity and audit logs; subprocessors and data location; deletion and export; incident notice; and handling of code and licensed assets.
If a material answer is unknown—such as whether one studio can retrieve another’s prompts, or whether submitted code is retained for model improvement—treat that as an unresolved risk, not as evidence of protection. Pause the affected data flow until the provider’s terms, configuration, or written agreement supplies an answer the studios can enforce.
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