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AI RUNTIME GOVERNANCE

Control what AI can see and do

K2view determines and enforces what data and actions are permitted for each AI request, based on the context of the interaction.
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AI Runtime Governance by K2view

Governance adapts to the AI interaction

Agentic data governance must operate at runtime when AI systems retrieve
live enterprise data and take actions on it.

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Understand the request

Identify the user or AI agent, the business entity in scope, the task, and the intended action.

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Determine what is permitted

Evaluate permissions, enterprise policy, consent, privacy, and task boundaries for the request.

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Enforce throughout execution

Apply controls across data access, masking, tool use, actions, and write-back as the interaction runs.

Govern AI data access and actions in real time

For each AI request, K2view independently determines what enterprise data can be exposed and which actions may be executed.
data access

Data access

  • Scope data to the relevant entity and task

  • Restrict records and fields

  • Mask sensitive values dynamically

  • Tokenize sensitive data before it reaches the LLM

  • Enforce consent and privacy requirements
actions

Actions

  • Control which tools and operations may run

  • Authorize actions by task, user or agent

  • Govern transactional write-back

  • Require approval or block actions when needed

  • Record every action and authorization decision for audit

Enforce controls throughout execution

Runtime governance is applied as the interaction progresses, across every point where enterprise data is retrieved, exposed, or changed
AI runtime governance solution architecture

See how runtime governance fits into the complete AI context architecture

Explore K2view AI Context Platform

How K2view enforces AI runtime governance

Configure access, protect sensitive data, control actions, and trace every governance decision at runtime

Control data access and write-back

Define who or what can access data and execute authorized write-back.

  • Assign restricted table views through security profiles
  • Limit fields and apply masking based on access rights
  • Authorize predefined APIs for controlled write-back
Control-data-access-and-write-back zoom image

Security profiles restrict table views, while authorized APIs govern write-back

Protect sensitive data at runtime

Protect sensitive data before it reaches the LLM or end user.

  • Apply dynamic masking to sensitive records and fields
  • Digitally tokenize protected values before they reach the LLM
  • Restore authorized values on output while enforcing privacy and consent rules
Protect-sensitive-data-at-runtime zoom image

Sensitive values are tokenized before the LLM, then restored and masked by access rights

Control what AI can execute

Guardrail what AI can execute, not just what it can access.

  • Authorize specific tools and operations for each request
  • Govern transactional updates and write-back to source systems
  • Require approval or block actions when policy conditions are not met
Controlling access to tools and MCP interfaces zoom image

Approved tools and interfaces are exposed, with runtime controls applied

Trace every governance decision

Maintain a complete governance record for every AI interaction.

  • Capture the delivered context together with the user or agent, entity, task, and policies in scope
  • Trace data restrictions, masking, tool access, and action authorization
  • Preserve decision lineage for access and write-back outcomes
Capturing AI interaction trace for auditability zoom image

Each interaction records policies, actions, and outcomes for audit and lineage

Lineage, masking & data quality

Enforce lineage, masking, and data quality at the moment AI agents access data.
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Explore related AI context solutions

See how the K2view AI Context Platform brings together governed context delivery, runtime governance, and evaluation across the AI lifecycle.

AI Context Delivery

Deliver the precise business context and actions each AI request needs through data agents that orchestrate enterprise data operations at runtime.  

  • Interpret intent and identify the relevant business entity
  • Orchestrate data-product tools, SQL, APIs, MCP, and RAG
  • Deliver business-fresh context at conversational speed
  • Execute authorized actions and transactional write-back
Explore AI Context Delivery

AI Evaluation & Observability

Evaluate AI outcomes against the operational context used, with visibility into the data, tools, actions, and runtime behavior behind every interaction. 

  • Score outcomes across configurable evaluation dimensions
  • Trace context, tools, actions, and model responses
  • Replay production interactions for evaluation and regression
  • Monitor quality, latency, tokens, and cost
Explore AI Evaluation & Observability 

Put runtime governance into every AI interaction

Apply task-aware controls to enterprise data, tools, and write-back without slowing the AI experience.
See How it Works

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