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IndyKite Tags

Safely access unstructured data for AI applications

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A conceptual diagram showing unstructured data organized with IndyKite Tags

Turn unstructured content into governed, AI-ready assets

Transform raw content into reliable AI inputs

Transform unstructured assets into governed, AI-ready inputs through automated tagging, classification, and safety checks.

Bring order to scattered content

Unify documents, messages, and files from across your enterprise so teams can work with a clean, consistent view of unstructured data.

Protect sensitive information automatically

Detect PII, confidential material, financial data, and IP across repositories, applying guardrails that prevent unsafe exposure to AI systems.

Keep governance aligned as content and permissions change

Reflect updates from data sources in real time so AI systems always work with current, accurately governed content.

Bridge the gap from unstructured content to AI-ready data

  • Unstructured data scattered across systems
  • No consistent tagging or classification
  • Sensitive content mixed with non-sensitive content
  • AI tools accessing ungoverned data
  • Manual or custom pipelines for ingestion
  • No real-time sync or permission alignment
  • Exposure to toxic content, harmful prompts, prompt injections
  • No unified way to apply data governance to unstructured content
  • Automated tagging and classification
  • Centralised metadata across sources
  • Sensitive-data detection (PII, PHI, financial data, confidential, IP)
  • Safety checks for toxic content + prompt injections
  • ‍Ready-made connectors to SharePoint, OneDrive, Box, Google
  • Real-time sync of content + permissions
  • Practical, efficient, production-ready governance
  • Safe AI consumption of unstructured data

Accelerate your AI projects

Enterprise-grade connectors to your content sources

Integrate with SharePoint, OneDrive, Box, Google Workspace, Slack, Confluence and more, scraping content, metadata, and permissions from across your environment.

Automated tagging that brings structure to your files

Apply accurate metadata tagging that identifies PII, PHI, business confidential information, financial data, IP, global languages, and more.

Built-in guardrails for safer AI interactions

Scan for toxic content and block harmful or off-topic prompts and prompt injections before they reach your AI systems.

Power safer, more predictable AI outcomes

  • Feed your models clean, structured, policy-aligned outputs
  • Prevent unsafe content from influencing AI behaviour
  • Reduce risk by screening sensitive and high-impact material
  • Support reliable, explainable performance across AI workflows
Abstract illustration showing layered geometric shapes in varied colors, arranged to suggest the movement and clustering of unstructured data.
Product sheet cover for IndyKite Tags, titled 'Safely access unstructured data for AI applications.' The background is a vibrant, abstract image of swirling purple and blue light trails, suggesting digital flow, with an 'IK' logo in the foreground.

Download the IndyKite Tags product sheet

Learn how to make unstructured data governance practical, efficient, and production ready.

Download Product sheet

Resources

Blog

3 mins

August 28, 2026

Agentic AI needs a new control model

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Guides & Whitepapers

E-Guide

The Enterprise Guide to EU AI Act Compliance

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News

July 8, 2026

Breakthrough AI wellbeing platform movemove selects IndyKite to power trusted AI

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Apply live context and control to enterprise AI

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