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Aurascape

Name: Aurascape
Author: Aurascape

Enterprise AI security platform

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1,822

AI security monitoring

Data leak prevention

Aurascape gives enterprise security teams visibility into how AI tools are being used across their organization. It tracks AI app usage, monitors prompts and responses for sensitive data, and enforces governance policies on AI interactions, including agentic workflows and copilots. You can see what employees are sending to AI tools and apply controls without blocking productivity.

Screenshot of the homepage of aurascape.ai

Advantages

Deep AI usage visibility
Works across AI agents too
Intent-aware policy controls

Disadvantages

Enterprise pricing only
Requires sales engagement
No self-serve option

Plans and pricing

Ask for pricing

Open Source:

Most suitable professions

Business Analyst, Manager, Security Expert

Use cases

Monitoring employee AI app usage
Preventing data leaks via AI tools
Enforcing AI governance policies
Securing agentic AI workflows

Target audience

Enterprise security teams
CISOs and security architects
IT compliance professionals
Risk and governance teams
Large organizations deploying AI

HDRobots review

Aurascape is an AI security platform built for enterprises that have deployed AI tools across their workforce and need visibility and control over how those tools are being used. As AI copilots, chatbots, and agents become standard in the workplace, they create a new surface area for data exposure, and Aurascape is designed specifically to address that.

The platform discovers all AI app usage across an organization, including tools employees have adopted without IT approval (sometimes called shadow AI). It decodes prompts and responses to identify sensitive data being sent to external AI services, then applies intent-aware policies to block or flag risky interactions without creating friction for legitimate use.

Aurascape also extends to agentic AI, meaning it can monitor and govern AI systems that operate autonomously, not just human-initiated interactions. This makes it relevant as enterprises move from simple AI chatbots to more complex automated AI workflows. Pricing is enterprise-only and requires direct engagement with their sales team.

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