Skip to content
SEMANTIC GOVERNANCE

Govern what AI is allowed to understand.

Semantic governance controls information by its meaning, not just where it is stored or who has access. It governs inference, memory and what an AI is permitted to understand and say.

Book a Demo →See the architecture

The problem you own

Access control assumes risk lives in the file. AI breaks that assumption. It reads across many sources and reasons over them, so a sensitive conclusion can emerge even when no sensitive file was ever opened. That is inference risk and aggregation risk and traditional, storage-based governance is blind to both.

How it works

Kynexa builds multi-dimensional metadata at two levels: the asset (files, tables, columns, rows) and the element (chunks and memory). Dynamic, context-aware policies: aware of role, intent and sensitivity are then applied during retrieval and context assembly, before the model reasons. Policy acts on meaning, so the same content can be permitted, redacted or blocked depending on who is asking and why.

What you get

Policy by meaning

Govern semantic labels and sensitivity, not just file paths.

Aggregation and inference control

Stop sensitive conclusions assembling from individually-harmless fragments.

Governance of the full context surface

Tools, skills, agents, data and memory, on access, purpose, sensitivity and intent.

Use one AI across many functions

Safely, without fragmenting models or over-restricting access.

Outcomes

Control semantic leakage. Enforce data minimization by default. Give every team one trustworthy AI instead of a dozen narrow, over-locked ones.

FAQ

DLP inspects data and files for patterns. Semantic governance acts on meaning during AI retrieval and reasoning: it can block a conclusion DLP would never flag because no sensitive file moved.
No. Kynexa generates asset- and element-level metadata and sensitivity automatically; you refine policy over time.
Worked example

How a sensitive conclusion gets blocked.

Three individually-permitted fragments can combine into a restricted inference. Kynexa evaluates the aggregation and blocks it before the answer forms.

Without semantic governance
  • Headcount plan (HR) — permitted
  • Q3 budget by team (Finance) — permitted
  • Project codenames (Eng) — permitted
Sensitive conclusion exposed“Team X is being wound down” — inferred from fragments no one was authorized to combine.
With Kynexa
  • Headcount plan (HR) — permitted
  • Q3 budget by team (Finance) — permitted
  • Project codenames (Eng) — permitted
Aggregation & inference check — role · intent · sensitivity
Blocked & redactedThe inference is prevented before the answer forms — and the decision is logged.
In the product

Policy and semantic metadata.

Kynexa policy editor: an ABAC policy with access rules, conditions and live policy simulation.
Policy editorAuthor and simulate policy by role, intent and sensitivity.
Semantic metadata: automatically extracted entities, labels and sensitivity at the element level.
Semantic metadataSensitivity and labels at the element level.

Representative product UI.

Get started

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.

Book a Demo →See the architecture