Aurascape is an AI security platform that helps enterprises safely use and build AI by securing employee AI tools, embedded copilots, autonomous agents, and MCP-connected systems.

Enterprise AI adoption has moved faster than traditional security controls. Employees use commercial AI tools, copilots, and embedded AI inside everyday applications. Development teams build agents that connect to enterprise systems, databases, internal APIs, third-party services, and MCP servers. Legacy tools were designed to govern destinations, URLs, and known data patterns, not prompts, responses, tool calls, agent decisions, or model outputs.

Aurascape closes this gap with an additive security layer that works alongside existing SSE, CASB, and DLP tools. The platform provides full observability across AI interactions, real-time inspection of prompts and responses, inline data protection, intent-aware policy enforcement, and runtime visibility across both employee AI use and AI systems built by internal teams.

The product brief explains how Aurascape secures the full AI environment across two connected motions: Safely Use AI and Safely Build AI. It covers commercial AI governance, embedded AI discovery, copilot data protection, agentic AI security, MCP Gateway enforcement, AI Proxy controls, adversarial testing, safe output governance, and audit-ready reporting for responsible AI adoption at enterprise scale.