Generative AI governance
Generative AI governance for enterprise research, built in from the start.
Generative AI governance is the set of controls that decide what an AI system may read, who may see its answers, and how each answer can be checked. SinglePoint enforces all three before anyone asks a question: content licensed for AI use, permissions inherited from your identity provider, and every claim cited to its source document.
Definition
What is generative AI governance?
Generative AI governance is how an organization controls the inputs, access, and outputs of its AI tools. For market and competitive intelligence, it comes down to four questions:
- Is the AI legally allowed to read this content?
- Is this person allowed to see this document?
- Can every claim be traced back to a source?
- Where does our data go, and is it kept?
Most governance programs start with the model. For research, the bigger risk sits in the content the model reads.
Why does AI governance matter more for research?
Research answers drive high-stakes decisions, and they draw on content your organization licenses rather than owns. That creates three risks general-purpose AI tools weren’t built to handle.
Copyright exposure
Most research subscriptions don’t grant AI use-rights. Feeding licensed reports into a general AI tool can breach the license, even when the answer looks helpful.
Permission leakage
An AI that indexes a shared drive can surface a document to someone who was never allowed to open it.
Answers nobody can check
General-purpose AI answers whether or not it has the right material, and it can’t show where an answer came from. A wrong answer is a problem. A wrong answer nobody can trace is a liability.
How SinglePoint governs AI
Four governance controls, enforced before a question is asked.
- 01
Content licensed for AI use
SinglePoint holds AI use-rights negotiated with each of its 150+ content providers, documented provider by provider. There is no open-web ingestion, so no unlicensed material enters an answer.
- 02
Rights enforced in the pipeline
AI use-rights travel with the content and are applied before a document is ever indexed, so what the AI may use is decided upstream, not after the fact.
- 03
Permissions inherited to the document
Single sign-on through your identity provider, with access inherited down to the document level. People see only what they’re already allowed to see.
- 04
Every claim cited to its source
Each claim in an answer links to the document it came from, read in full context, so any reviewer can verify it in seconds.
An animation of the SinglePoint content pipeline. Documents from licensed providers arrive with their AI use-rights attached, and those rights are checked before each document is indexed, so only content cleared for AI use reaches an answer.
Security controls
The security controls, stated plainly.
100 → 16,000 users
A global pharma brought SinglePoint in within its existing security and permissions, then grew from 100 to 16,000 users without cost multiplying.
Evaluating a platform
How do you evaluate an AI platform’s governance?
Ask every vendor these five questions, and ask to see the answer, not hear it.
- Which of our licensed providers are you legally allowed to run AI over? Show us the list.
- Does access follow our identity provider down to the individual document?
- Is our content retained, or used to train any model?
- Can every claim be clicked through to the page it came from?
- What documentation will you send our security and legal teams up front?
Common questions
Questions about generative AI governance.
Generative AI governance is the set of controls an organization uses to decide what its AI may read, who may see the answers, and how each answer can be verified. For research, it covers content rights, document permissions, citations, and data handling.
Yes. SinglePoint is SOC 2 certified, and the SOC 2 report and a bridge letter are available on request for your security team’s review.
No. SinglePoint never uses your content to train AI models, and it operates with zero data retention and per-tenant isolation.
SinglePoint uses single sign-on through your identity provider and inherits your existing permissions down to the document level, so people see only what they’re already allowed to see.
It can be, because most research subscriptions don’t include AI use-rights. SinglePoint negotiated AI use-rights individually with each of its 150+ providers, and the summary is available for legal and procurement review.
Yes. Through its Copilot connector and MCP server, SinglePoint brings the same licensed, permission-aware content into those tools, with citations attached.
Related
Send us the questionnaire.
We’ll return it completed, with the SOC 2 report and architecture documentation attached.