Natural-language analytics — without exposing what each role shouldn't see.
Let people ask questions of your data in plain language, while semantic security keeps explanations, correlations and drilldowns inside each role's boundaries.
The problem
Conversational analytics is powerful precisely because it explains, correlates and drills down. That's also how it leaks: an explanation can reveal a restricted metric, a correlation can expose a customer detail, a drilldown can surface strategy, even when the underlying query looked harmless.
How enforcement changes the workflow
Without governance
- Explanations reveal restricted metrics
- Correlations expose customer detail
- Drilldowns surface strategy
Kynexa enforces
- Sensitivity-aware retrieval and inference
- Constrain what explanations and correlations may reveal
- Apply role and intent before the answer forms
With Kynexa
- Self-serve analytics for everyone
- Each role held to what it may know
- Audit and lineage on every response
Audit evidenceLogs the query, the policy decision and what was revealed or withheld per role.
What you get
Role- and intent-aware governance
Over answers, explanations and drilldowns.
Protection against leakage
Through correlation and aggregation.
Audit and lineage
On every analytical response.
Outcome
Self-serve analytics for everyone, with each role automatically held to what it's allowed to know.
See Kynexa govern your AI — in 30 minutes.
Bring a real use case. We'll set up governed retrieval, reasoning and audit on your stack.