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Aurascape

by Aurascape, Inc.

Governance & SecurityAI Agents & OrchestrationEnterprise Platform

AI-native security for how employees use AI and how enterprises build agents — including a zero-bypass MCP gateway

Contact for pricing·Added Jul 13, 2026·Updated Jul 13, 2026
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THE DAILY BRIEF
Aurascape

by Aurascape, Inc.

Governance & SecurityAI Agents & OrchestrationEnterprise Platform

AI-native security for how employees use AI and how enterprises build agents — including a zero-bypass MCP gateway

Contact for pricing

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
  • AI app discovery including shadow and embedded AI
  • Multimodal data protection
  • Intent-based runtime controls
  • Auri agent
  • Agent build-time security

Capabilities

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

Use Cases

  • Shadow AI governance
  • MCP tool-call security
  • Sensitive data leak prevention in prompts

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

Enterprise-gradeAI-native securityVenture-backed challenger

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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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.

Aurascape, Inc. is a Santa Clara, California AI security company that emerged from a year in stealth in April 2025 with $50 million in funding co-led by Mayfield Fund and Menlo Ventures, with Celesta Capital and angel investors including former Palo Alto Networks CEO Mark McLaughlin, former Symantec CEO Greg Clark, Walden International chairman Lip-Bu Tan, and former Zscaler chief strategy officer Manoj Apte. Founded and led by CEO Moinul Khan, the platform automatically discovers AI applications in use — including shadow AI and AI embedded inside trusted SaaS apps — decodes prompts, responses, user identity, and intent in real time, applies multimodal data protection across text, code, images, video, and audio, and enforces contextual, intent-based policy rather than blunt blocking. Its Auri agent delivers automated user coaching and natural-language summaries, and the platform supports sensitive-data tagging and automated unlearning in third-party AI apps. On March 17, 2026, Aurascape expanded the platform with an industry-first Zero-Bypass MCP Gateway, which combines with the company's AI Proxy to govern trusted tool use across Model Context Protocol connections, surface MCP server visibility and tool-call monitoring, reduce bypass risk in agent interactions, and add pre-deployment agent testing, production guardrails for live AI interactions, and code and dependency weakness detection for teams building custom agents and AI applications. As CEO Moinul Khan put it: "AI agents can access systems, use tools, and take action on behalf of the business. That changes the security problem completely."

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

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

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

Enterprise-gradeAI-native securityVenture-backed challenger

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.

Sources

This page was written from 3 sources, 1 on domains other than aurascape.ai.

  1. 1.aurascape.aiaurascape.aivendor
  2. 2.aurascape.aiaurascape launches from stealth with 50m in funding and an avendor
  3. 3.cioinfluence.comaurascape unveils new zero bypass mcp gateway and expands ai
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