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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, Northern Light’s market and competitive intelligence platform, applies these controls across the content-to-answer process: content licensed for AI use, permissions inherited from your identity provider, and every claim cited to its source document.
Definition
What does generative AI governance mean for enterprise research?
For enterprise research, generative AI governance controls the content AI may use, who may access it, how data is handled, and how its answers can be verified. 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
AI use rights vary by provider and license. Using licensed research in an AI tool without the necessary rights can violate the applicable license terms.
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 can produce an answer without knowing whether it has the right material, and public-source citations do not prove the answer reflects your organization’s licensed and permissioned research. A wrong answer is a problem. A wrong answer nobody can trace is a liability.
How SinglePoint governs AI
Four SinglePoint governance controls across the content-to-answer process.
- 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
SinglePoint 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 should enterprise research teams evaluate AI 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.
SinglePoint applies generative AI governance to content, access, and AI outputs. It uses research with approved AI use rights, inherits document-level permissions through your identity provider, and links claims back to their source documents, with enterprise data-handling controls around the AI process.
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 when the applicable license does not permit AI use. 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.