AurascapeAI security and governance platform for safe enterprise AI adoption

4.6 (5)

Reviewed by Daniel Nikulshyn·Updated May 2026

Enterprise AI Security Governance Compliance Data Loss Prevention Monitoring Shadow AI

Overview

Aurascape is a security platform built to help organizations adopt AI tools without exposing sensitive data or violating compliance requirements. It gives security teams visibility into how employees use AI applications across the company and lets them enforce policies that prevent risky behavior. The platform discovers shadow AI usage, monitors interactions with generative AI services, and applies controls around data sharing, prompt content, and model access. This helps companies balance productivity gains from AI with the need to protect intellectual property, customer information, and regulated data.

Key features

AI application discovery and inventory
Data loss prevention for AI prompts
Granular access and usage policies
Activity monitoring and audit logs
Risk scoring for AI services
Compliance reporting

Pricing

Model: Free
Category: AI security
Rating: 4.6 / 5 (5)

Use cases

Discover Shadow AI Usage

Identify and inventory unsanctioned generative AI tools employees are using across the organization to reduce hidden risk and bring AI activity under IT oversight.

Prevent Sensitive Data Leakage in Prompts

Apply data loss prevention controls to AI prompts so employees can't share intellectual property, customer data, or regulated information with external AI services.

Enforce AI Access Policies

Set granular policies governing which AI applications employees can use, what data they can share, and which models they can access based on role and risk.

Demonstrate AI Compliance

Generate audit logs, activity reports, and risk scores to show regulators and internal stakeholders that AI usage aligns with compliance and data protection requirements.

Pros & Cons

Pros

Visibility into shadow AI and unsanctioned tools
Policy controls tailored to AI workflows
Helps meet compliance and data protection requirements
Covers a wide range of generative AI applications

Cons

Aimed at enterprises, not individual users
Requires integration work to deploy effectively
Pricing not publicly listed

Reviews

4.6

Average from 5 ratings.

Carlos Mendoza

Feb 14, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: activity monitoring and audit logs and visibility into shadow AI and unsanctioned tools. Where it lags: aimed at enterprises, not individual users. On balance the feature set — especially risk scoring for AI services — justifies the 5 stars for our use case.

Robert Ainsworth

Jan 3, 2026

Use it every day

Honestly didn't expect to like it this much. Granular access and usage policies is exactly what I needed, and policy controls tailored to AI workflows. I do wish aimed at enterprises, not individual users, but I reach for it almost every day now and it just clicks.

Marcus Bell

Nov 14, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: data loss prevention for AI prompts and covers a wide range of generative AI applications. Where it lags: pricing not publicly listed. On balance the feature set — especially data loss prevention for AI prompts — justifies the 4 stars for our use case.

Elena Rossi

Aug 18, 2025

Use it every day

Honestly didn't expect to like it this much. Activity monitoring and audit logs is exactly what I needed, and policy controls tailored to AI workflows. I do wish pricing not publicly listed, but I reach for it almost every day now and it just clicks.

Leila Hassan

Jul 25, 2025

Solid for our team

We rolled this out across the team last quarter and policy controls tailored to AI workflows. Risk scoring for AI services fits neatly into how we already work, and compliance reporting removed a step we used to do by hand. but it has held up under daily use.

Q&A

How much does Aurascape cost and how long does it take to deploy?

Pricing is not publicly listed, so you'll need to contact Aurascape for a quote. Deployment also requires integration work to connect it to your environment and AI applications, so expect setup effort before getting full value.

What can Aurascape do to prevent sensitive data from leaking into AI tools?

It provides data loss prevention for AI prompts, granular access and usage policies, and monitors interactions with generative AI services to block risky data sharing, prompt content, or model access before exposure occurs.

Is Aurascape suitable for small teams or individual users?

No. Aurascape is designed for enterprise security and governance teams managing AI usage across an organization, not for individual users or small teams looking for a lightweight tool.