Aurascape
by Aurascape, Inc.
AI-native security for how employees use AI and how enterprises build agents — including a zero-bypass MCP gateway
Aurascape is an AI security platform that gives enterprises visibility, policy enforcement, and data protection across employee AI usage, AI agent development, and production agent runtime. It is built for security teams that need to govern shadow AI and Model Context Protocol (MCP) tool calls without blocking AI adoption.
At a Glance
- Category
- Governance & Security
- Pricing
- Contact for pricing
- Target Market
- CISOs, CIOs, Security Engineers, Enterprise Developers
- Headquarters
- Santa Clara, United States
Key Features
- ✓Zero-Bypass MCP Gateway
Secures Model Context Protocol connections to tools and enterprise systems, governing trusted tool use and reducing bypass risk across agent interactions.
- ✓AI app discovery including shadow and embedded AI
Automatically finds AI applications in use across the enterprise, including unsanctioned tools and AI embedded inside trusted SaaS apps.
- ✓Multimodal data protection
Detects and blocks unsafe sharing of sensitive data across text, code, images, video, and audio in prompts and responses.
- ✓Intent-based runtime controls
Decodes prompts, responses, user identity, and intent to apply contextual policy instead of blanket blocking.
- ✓Auri agent
Delivers automated user coaching and natural-language summaries of AI activity for security teams.
- ✓Agent build-time security
Adds pre-deployment testing, production guardrails, and code and dependency weakness detection for teams building custom AI agents.
Capabilities
Use Cases
- •Shadow AI governance
Security teams discover which AI tools employees actually use — including ones paid for out of pocket — and apply policy instead of a blanket ban.
- •MCP tool-call security
Enterprises deploying agents route MCP connections through the Zero-Bypass Gateway so every tool call is visible, governed, and non-bypassable.
- •Sensitive data leak prevention in prompts
The platform detects and blocks confidential code or regulated data being pasted into third-party AI apps, with automated unlearning where supported.
Ideal For
Best For
- ✓Governing employee shadow-AI usage without outright blocking AI tools
- ✓Securing Model Context Protocol (MCP) tool calls and agent-to-system access
- ✓Pre-deployment testing and runtime guardrails for custom enterprise AI agents
Market Analysis
Pros
- ✓Purpose-built for the agent/MCP security gap most DLP tools miss
- ✓Strong security-operator backing (ex-Palo Alto Networks, Symantec, Zscaler leaders)
- ✓Spans both employee AI usage and custom agent development
Cons
- ✗Young company — publicly out of stealth only since April 2025
- ✗No published pricing and limited public customer references
Pricing
Aurascape AI Security Platform
Contact for pricing
- ✓AI app discovery
- ✓Multimodal data protection
- ✓Zero-Bypass MCP Gateway
- ✓AI Proxy runtime guardrails
- ✓Auri agent
Aurascape does not publish pricing publicly; engagement is through demo and sales.
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