Stop the leak you can't see.
The most dangerous AI exposure isn't a file someone opened: it's a conclusion the AI inferred. Kynexa governs aggregation and inference risk explicitly.
A three-stage flow. Individually permitted fragments enter from source systems. A meaning-layer policy gate evaluates role, intent, sensitivity, aggregation and lineage before the answer is formed. The outcome can be allowed context, redacted inference or a blocked answer, with context evaluated, inference risk scored, decision reason and audit event recorded.
The problem you own
Most unauthorized AI activity won't come from attackers: it will come from everyday oversharing and misuse, amplified by models that combine and infer. A model can derive a restricted insight from fragments that were each, on their own, perfectly allowed. Your access logs will show nothing wrong. That is semantic leakage and it is invisible to controls built around files and permissions.
How it works
Kynexa evaluates what is being assembled and inferred: not just what was retrieved. Policies aware of role, intent and sensitivity inspect the context being constructed and the meaning being produced, then redact, block or annotate before the answer is formed. Aggregation and inference are handled as explicit, first-class risks.
What you get
Explicit aggregation and inference controls
Govern conclusions, not just sources.
Meaning-layer enforcement
Act before the answer is formed, not after it ships.
Evidence
Every evaluation is logged, so you can show what was prevented and why.
Outcomes
Close the exposure your DLP and access controls can't see and prove you closed it.
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.