Aurascape

Aurascape is an AI-native security platform designed to help enterprises detect, analyze, and control AI usage in real time. Built by cybersecurity veterans from Palo Alto Networks, Zscaler, FireEye, and Google, the platform addresses security gaps that traditional firewalls and secure web gateways cannot handle when it comes to AI applications, copilots, and embedded agents.

The platform provides comprehensive visibility into how AI tools are being used across organizations, including shadow AI and embedded AI features within trusted SaaS applications. Aurascape inspects each AI interaction in real time to understand user intent, classify risk, and enforce appropriate policies without disrupting user productivity.

• Automatic AI Discovery finds all AI usage across the enterprise, including shadow AI and embedded AI features within existing applications, with real-time risk scoring capabilities.

• AI Intention Control decodes prompts, responses, user identity, and intent through conversation-based analysis and deep intention decoders, enabling control over agentic AI interactions.

• Real-time Enforcement applies policies based on role, sensitivity, and conversation context, featuring AI-driven data protection, sensitive data fingerprinting, and threat prevention.

• Third-Party App & Copilot Security detects, tags, and enables unlearning of sensitive data in AI applications and copilots through automated sensitive data tagging.

• Simplified Operations provides natural-language summaries, automated alerts, user coaching, and limited time exceptions through the Auri natural language agent.

• Entitlement Enforcement distinguishes between enterprise and personal AI usage to ensure proper access controls and prevent unauthorized data exposure.

To get started with Aurascape, organizations can request a demo through the website to see how the platform discovers, inspects, and secures AI usage. The platform integrates as a security layer that extends existing security architecture without requiring replacement of current tools. Security teams can gain immediate visibility into AI adoption patterns and implement granular controls based on risk profiles and user intentions.