Aurascape Application Risk Methodology
It's vital to understand the potential risks of AI use across your teams. But with dozens of new AI applications appearing every day, it's difficult to maintain a real-time, accurate, and risk-based inventory of every app. Here's how Aurascape provides risk scores for thousands of AI applications, so you can easily implement risk-informed access and control policy.
Executive Overview
Many factors determine the overall risk profile of an AI application: How does the app treat data input by users? Is that data stored, trained on, or shared with third parties? Are there recently disclosed vulnerabilities in this tool? How do the risks differ depending on a user’s subscription tier?
No IT and security team has the time to dig through the terms and conditions for every new AI app, or monitor newsfeeds for CVE’s and breaches in order to answer these questions. But that’s what it takes to maintain an actionable risk-scoring model for the thousands of AI-driven applications available today.
This is why the Aurascape platform provides a catalog of thousands of AI applications, each with an up-to-date risk score, powered by the Aurascape AI application risk-scoring methodology.
The result: real-time, trusted risk analysis for AI applications so you can understand potential dangers and enforce risk-based AI access control.
Read the technical brief to learn more.
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.