Aurascape

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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