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Aurascape

by Aurascape, Inc.

Governance & SecurityAI Agents & Orchestration

Inline security for employee AI use, MCP tool calls and the agents you build.

Subscription · Contact for pricing·Added Jul 13, 2026·Updated Oct 3, 2026
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THE DAILY BRIEF
Aurascape

by Aurascape, Inc.

Governance & SecurityAI Agents & Orchestration

Inline security for employee AI use, MCP tool calls and the agents you build.

Subscription · Contact for pricing

Aurascape is an AI security platform that discovers the AI apps employees use, inspects AI traffic inline for sensitive data, and secures custom agents from testing through runtime. It is built for security teams that need to allow AI tools without losing visibility into what data flows through them.

At a Glance

Category
Governance & Security
Pricing
Subscription, Contact for pricing
Target Market
CISOs, Security Teams, CIOs, AI Platform Teams
Deployment
Cloud-first
Headquarters
Santa Clara, CA, USA
Team Size
11-50
Customers
8 enterprise customers at launch (May 2025)

Key Features

  • ✓AI app discovery
  • ✓Inline AI data protection
  • ✓Zero-Bypass MCP Gateway
  • ✓Agent testing and runtime guardrails
  • ✓Code and dependency scanning
  • ✓User coaching and exceptions

Use Cases

  • •Shadow AI control
  • •Preventing data leakage to chatbots
  • •Securing agent tool access
  • •Pre-release agent security

Ideal For

Best For

  • ✓Discovering shadow AI and AI features embedded inside approved SaaS apps
  • ✓Blocking sensitive data from being pasted or uploaded into AI tools in real time
  • ✓Governing MCP tool calls made by internal or third-party AI agents
  • ✓Testing custom agents before release and enforcing guardrails at runtime

Not Ideal For

  • ✗Teams looking to replace their existing firewall, proxy or SSE stack, since Aurascape focuses on AI traffic and says it is not going after those vendors
  • ✗Buyers who require published pricing or documented compliance certifications up front, as neither appears on its public pages
  • ✗Organizations that cannot route AI traffic through a third-party cloud for inspection

Market Analysis

Enterprise-gradeAI-native security

Pros

  • ✓Founding team led by a former head of Zscaler's SSE and data protection business
  • ✓Covers both workforce AI use and agent security, including an MCP gateway since March 2026
  • ✓Fast app coverage: 30 to 50 new AI integrations a week at launch

Cons

  • ✗Young company (34 employees at launch) with a small reference base, so long-term vendor risk is real
  • ✗Narrow AI-traffic focus means it sits alongside, not in place of, an existing SSE or proxy stack
  • ✗No published pricing, certifications or independent user reviews on G2 or Hacker News to check claims against

Pricing

Enterprise

Contact for pricing

  • ✓AI app discovery and risk scoring
  • ✓Inline data protection
  • ✓MCP Gateway and agent security

Aurascape publishes no list pricing; it sells an enterprise subscription through sales. Its April 2025 launch coverage described a subscription model targeting 25 enterprise customers, and plan tiers or metering units are not public.

Security & Compliance

✗soc2
✗gdpr
✗hipaa
✗iso27001
✗sso
✗data residency

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Aurascape is an AI security platform that discovers the AI apps employees use, inspects AI traffic inline for sensitive data, and secures custom agents from testing through runtime. It is built for security teams that need to allow AI tools without losing visibility into what data flows through them.

Aurascape is an AI security platform from a Santa Clara, California startup that came out of stealth on April 8, 2025 with $50 million in funding led by Menlo Ventures and Mayfield Fund. It covers two problems: controlling how employees use commercial and embedded AI apps, and securing the agents and AI applications a company builds itself. The architecture combines foundational AI models, an inline proxy and endpoint clients; AI traffic is redirected to Aurascape's cloud for real-time inspection, which the company argues legacy firewalls and DLP miss because AI apps run over WebSockets, QUIC and Protobuf. At launch it supported more than 1,500 AI tools and was adding 30 to 50 a week; its website now claims coverage of 30,000+ AI applications, including AI features embedded in trusted SaaS. Controls include shadow AI discovery with risk scoring, real-time sensitive-data detection with fingerprinting and intent-based policies, natural-language coaching for users, and automated exception handling. On March 17, 2026 it added a Zero-Bypass MCP Gateway that works with its AI Proxy to govern which tools agents can call, plus visibility into MCP servers and tool calls, pre-release agent testing, runtime guardrails and scanning of code and dependencies around AI systems. CEO and co-founder Moinul Khan previously ran Zscaler's SSE and data protection business and held product roles at Palo Alto Networks and Netskope. The company had eight enterprise customers in May 2025; named customers on its site now include US Express, USC, Wyze, IIHS, SiTime and Police Credit Union.

Ideal Buyer

A CISO or data-protection lead who has to permit employee AI use and agent deployments while proving sensitive data is not leaking through them.

Key Benefit

One inline control point for AI app discovery, data protection and agent tool-call governance.

At a Glance

Category
Governance & Security
Pricing
Subscription, Contact for pricing
Target Market
CISOs, Security Teams, CIOs, AI Platform Teams
Deployment
Cloud-first
Headquarters
Santa Clara, CA, USA
Team Size
11-50
Customers
8 enterprise customers at launch (May 2025)

Key Features

  • ✓
    AI app discovery

    Finds every AI application in use, including shadow AI and embedded features in SaaS, and assigns real-time risk scores.

  • ✓
    Inline AI data protection

    Detects sensitive data flowing into AI tools in real time and applies intent-based policies to stop leakage.

  • ✓
    Zero-Bypass MCP Gateway

    Works with the AI Proxy to govern which tools agents may call over MCP and to flag risky MCP activity.

  • ✓
    Agent testing and runtime guardrails

    Runs adversarial testing before an agent is released and enforces policy on live AI interactions in production.

  • ✓
    Code and dependency scanning

    Analyses code paths and flags CVEs in the code and dependencies surrounding AI systems before they ship.

  • ✓
    User coaching and exceptions

    Coaches users in natural language when they hit a policy and automates exception management to reduce security team toil.

Use Cases

  • •
    Shadow AI control

    A security team inventories every AI app employees touch and applies role-based policies instead of blanket blocking.

  • •
    Preventing data leakage to chatbots

    Fingerprinted sensitive data is detected inline and stopped before it reaches an external AI tool's prompt or upload.

  • •
    Securing agent tool access

    An enterprise routes agent MCP traffic through the gateway so only approved tools are called and bypass attempts are flagged.

  • •
    Pre-release agent security

    AI platform teams test custom agents adversarially and scan their dependencies before promoting them to production.

Ideal For

Best For

  • ✓Discovering shadow AI and AI features embedded inside approved SaaS apps
  • ✓Blocking sensitive data from being pasted or uploaded into AI tools in real time
  • ✓Governing MCP tool calls made by internal or third-party AI agents
  • ✓Testing custom agents before release and enforcing guardrails at runtime

Not Ideal For

  • ✗Teams looking to replace their existing firewall, proxy or SSE stack, since Aurascape focuses on AI traffic and says it is not going after those vendors
  • ✗Buyers who require published pricing or documented compliance certifications up front, as neither appears on its public pages
  • ✗Organizations that cannot route AI traffic through a third-party cloud for inspection

Deployment

✗On-Premise

Market & Ratings

Estimated Customers

8 enterprise customers at launch (May 2025)

Market Analysis

Enterprise-gradeAI-native security

Pros

  • ✓Founding team led by a former head of Zscaler's SSE and data protection business
  • ✓Covers both workforce AI use and agent security, including an MCP gateway since March 2026
  • ✓Fast app coverage: 30 to 50 new AI integrations a week at launch

Cons

  • ✗Young company (34 employees at launch) with a small reference base, so long-term vendor risk is real
  • ✗Narrow AI-traffic focus means it sits alongside, not in place of, an existing SSE or proxy stack
  • ✗No published pricing, certifications or independent user reviews on G2 or Hacker News to check claims against

Pricing

Enterprise

Contact for pricing

  • ✓AI app discovery and risk scoring
  • ✓Inline data protection
  • ✓MCP Gateway and agent security

Aurascape publishes no list pricing; it sells an enterprise subscription through sales. Its April 2025 launch coverage described a subscription model targeting 25 enterprise customers, and plan tiers or metering units are not public.

Security & Compliance

✗soc2
✗gdpr
✗hipaa
✗iso27001
✗sso
✗data residency

Sources

This page was written from 5 sources, 4 on domains other than aurascape.ai.

  1. 1.aurascape.ai — aurascape.aivendor
  2. 2.siliconangle.com — aurascape launches 50m funding bring security observability
  3. 3.bankinfosecurity.com — embargo 0408 9am et aurascape takes on ai data protection 50
  4. 4.celesta.vc — q a with aurascape ceo moinul khan securing the ai era
  5. 5.cioinfluence.com — aurascape unveils new zero bypass mcp gateway and expands ai
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