Aurascape Data Classification
In the AI age, data moves through prompts, responses, copilots, and agentic workflows. Traditional security cannot keep up. This whitepaper explains how Aurascape Classification combines semantic understanding with precise identifier detection to reduce false positives and catch more real exposure, so you can control your data across all AI usage.
Executive Overview
AI data risk shows up in chats, copilots, and agent actions, not just in files. This whitepaper breaks down why regex-first classification creates alert fatigue, and how Aurascape uses intent-aware models plus identifier validation to find sensitive content with far fewer false positives.
Read the whitepaper to see why keyword and regex libraries break down, how context-aware models improve precision and recall, and a real-world comparison with measured results. You will also get an appendix of supported categories to map coverage to your own policies and controls.
Aurascape Solutions
- Discover and monitor AI Get a clear picture of all AI activity.
- Safeguard AI use Secure data and compliancy in AI usage.
- Copilot readiness Prepare for and monitor AI Copilot use.
- Coding assistant guardrails Accelerate development, safely.
- Frictionless AI security Keep users and admins moving.