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Aurascape

Aurascape is a security tool built for AI that automatically finds all AI usage in your company, even hidden ones. It checks every interaction in real-time to stop sensitive data from leaking and block threats. This lets your business use AI safely and confidently, without slowing down innovation.

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OverviewFeaturesUse CasesFAQ

About Aurascape

Who It's For

This tool is for security leaders and their teams who want to safely use AI in their business. It helps manage how AI is adopted, especially in companies with many AI tools, ensuring oversight and data protection.

What You Get

You gain full visibility into all AI tools used, even hidden ones. Aurascape helps control risky AI usage, protects sensitive company data from leaking, and simplifies following compliance rules. It provides real-time alerts and easy-to-understand summaries.

How It Works

Aurascape automatically finds every AI tool in use. It then checks each AI interaction in real time to understand user intent, spot risks, and apply your company's security rules instantly. This lets you use AI securely without slowing down innovation.

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Features & Capabilities

🕵️ AI Usage Discovery & Visibility

Automatic AI Discovery

Automatically uncovers all AI tools in use across the enterprise, including shadow AI and embedded features within SaaS applications.

Embedded AI Discovery

Specifically identifies and monitors AI capabilities integrated within existing SaaS applications, closing traditional security blind spots.

Real-time Risk Scoring

Dynamically assesses the risk of AI interactions in real time to guide policy enforcement and prioritize security actions.

🚦 AI Policy & Intent Control

Deep Intention Decoders

Analyzes user prompts, AI responses, and user identity to understand the true intent and context of every AI conversation.

Real-time Policy Enforcement

Applies granular security policies instantaneously based on user roles, data sensitivity, and the context of AI interactions.

Agentic AI Control

Provides specific controls for managing and securing the behavior and interactions of autonomous AI agents.

Entitlement Enforcement

Distinguishes between enterprise and personal AI usage to ensure policies are applied correctly based on appropriate entitlements.

🔒 Data & Threat Protection

Sensitive Data Fingerprinting

Utilizes advanced techniques to detect, tag, and prevent the flow of sensitive data through AI tools.

Real-time AI-Driven Data Protection

Prevents sensitive data leakage or misuse by applying contextual and intent-based controls dynamically.

AI-Driven Threat Prevention

Proactively identifies and blocks AI-generated threats, malicious prompts, or outputs from compromising enterprise security.

Automated Unlearning

Detects, tags, and helps remove sensitive data from AI applications and copilots to prevent long-term exposure.

✨ Simplified Security Operations

Natural-language Summaries

Generates concise, natural-language summaries for AI oversight, simplifying analysis for security, risk, and compliance teams.

Automated Alerts

Delivers automated notifications and alerts for policy violations or detected risks in AI usage.

Automated User Coaching

Provides proactive guidance and coaching to users on secure AI practices and policy compliance.

Auri™ Natural Language Agent

Offers an AI-powered natural language interface to streamline security operations and query AI usage data.

Use Cases

Preventing Shadow AI and Unsanctioned Tool Usage

Enterprises face significant risks from employees using unapproved or personal AI tools, creating security blind spots and potential data exposure. Aurascape automatically discovers all AI usage across the enterprise, including embedded and shadow AI, allowing real-time policy enforcement to stop risky behavior before it creates exposure.

Enterprise SecurityFor: Security Operations Team

Protecting Sensitive Data in AI Conversations

Traditional security tools are blind to sensitive information flowing through AI applications, leading to data leakage and misuse as user intent cannot be understood. Aurascape provides real-time inspection of AI conversations, decodes user intent, dynamically classifies data, and applies contextual controls to prevent the loss or misuse of sensitive enterprise data.

Enterprise Data SecurityFor: Data Protection Officer

Simplifying AI Compliance and Governance

As AI adoption scales, security, risk, and compliance teams struggle to maintain oversight and prove adherence to regulatory requirements without extensive manual analysis. Aurascape simplifies AI oversight by providing natural-language summaries, automated alerts, and real-time policy enforcement, making it easier for teams to manage AI risk and ensure compliance.

Regulated EnterpriseFor: Compliance Officer

Implementing Security for Enterprise Copilots and AI Integrations

The widespread embedding of AI features and copilots into SaaS applications and development tools introduces new vulnerabilities for sensitive data and intellectual property. Aurascape provides the guardrails needed by detecting, tagging, and enabling the 'unlearning' of sensitive data in third-party AI apps and copilots, accelerating secure development and safe AI adoption without stifling innovation.

Technology & DevelopmentFor: DevSecOps Teams

Frequently asked questions

Aurascape is an AI-native security platform designed to detect, analyze, and control AI usage across enterprises. Founded in 2023, the company emerged from stealth with $50 million in funding to provide real-time security for artificial intelligence applications. The platform addresses a critical gap: traditional security solutions were not designed for how AI applications operate, leaving enterprises vulnerable to data loss and misuse.

Aurascape employs a prevention-first approach using a cloud-native, inline proxy paired with an endpoint agent. The platform automatically discovers all AI usage—whether authorized or shadow—and inspects each interaction in real time to understand user intent, classify risk, and enforce the appropriate policy. The system works by automatically uncovering every AI tool in use, even those embedded inside SaaS applications; examining thousands of AI applications using real-time, intelligent data categorization and threat inspection; using AI models to inspect traffic at the conversational context level, understanding the full interaction from user input to AI output; and applying context-aware controls based on role, sensitivity, and conversation context in real time.

Aurascape provides several core capabilities including Automatic AI Discovery which finds all AI usage, even inside trusted apps; Control AI Intentions which decodes prompts, responses, user identity, and intent to understand user activity with AI tools; Real-time Enforcement which applies policies based on role, sensitivity, and conversation context instantly; Secure Third-Party Apps & Copilots which detects, tags, and helps AI systems unlearn sensitive data in apps and copilots; and Simplified Operations which provides natural-language summaries, alerts, and user coaching rather than requiring manual analysis.

Aurascape solves several problems, including Shadow AI Control by automatically uncovering every AI tool in use—even those embedded inside SaaS apps—and stopping personal or risky usage before it creates exposure. It also provides Sensitive Data Protection by detecting sensitive information flowing through AI tools in real time and applying contextual, intent-based controls to prevent leakage or misuse. Furthermore, it offers Compliance Simplification by using natural-language summaries and automated alerts to make AI oversight accessible to security, risk, and compliance teams without manual analysis.

Aurascape built a true AI-native, inline platform that inspects every interaction, understands intent and entitlement in context, classifies data dynamically, and enforces policy in real time. Rather than simply adding AI features to existing security tools, Aurascape took the harder path of building from the ground up specifically for AI security. The platform can decode over 1,500 applications and detect risky AI behavior in real-time with minimal false positives. It captures activity across text, audio, image, and code, enabling security teams to set granular, policy-based guardrails without impeding productivity.

Aurascape recommends a structured 90-day operating cadence that includes establishing baselines to understand current AI usage patterns, governing in the flow by applying policies as AI tools are used, and tuning with signals to refine policies based on real usage data. The approach emphasizes role-aligned enablement with per-mode and per-action controls, distinguishing between chat and agent/tools modes, utilizing default-then-tune workflows for a safe posture on day one, and employing selective steering patterns that integrate beside existing security stacks without requiring network overhauls.

Rather than simply blocking risky behavior, Aurascape takes a more sophisticated approach. The platform provides real-time coaching at the moment of risky behavior, guiding users with context instead of just blocking them. It also enables automated limited-time exceptions for sanctioned, short-term AI usage, helping keep users and security operations teams moving without friction.

The platform provides specialized solutions including discovering and monitoring AI for complete visibility into all AI activity, safeguarding AI use to secure data and compliance in AI usage, offering Copilot readiness to prepare for and monitor AI Copilot use, providing coding assistant guardrails to accelerate development safely, and enabling frictionless AI security to keep users and admins moving.

Aurascape is designed for security leaders ready to operationalize AI—with guardrails, evidence, and a workforce that learns to rely less on those guardrails over time. It serves CISOs and security teams managing enterprise AI adoption, particularly organizations with complex environments requiring visibility across multiple AI applications and data protection frameworks.

Tags

compliance managementsensitive data protection

Specifications

Deployment
Browser
Cloud
Target Audience
Business
Enterprise
Complexity
Low-code

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