Shadow AI Discovery
Gain complete visibility into Model Context Protocol servers across your developer environment before they become your next security incident.
The Problem
Developers are running unknown MCP servers locally with zero security oversight
No visibility into what credentials these servers are accessing
Malicious servers can masquerade as legitimate ones, stealing API keys and secrets
Shadow AI infrastructure creating massive blind spots in your security posture
Clutch's Solution
First-in-market discovery and governance of MCP servers, providing complete visibility into local AI development infrastructure and the identities they consume.
The Challenge
For CISOs
Your developers are building with AI using MCP servers you've never heard of, accessing company credentials you can't see, creating attack vectors you don't know exist. This is Shadow AI at its most dangerous.
For Security Teams
MCP servers operate locally on developer machines, outside traditional security controls. You have no way to discover what's running, what it's accessing, or whether it's legitimate-creating invisible attack vectors that bypass your entire security stack.
For DevSecOps Leaders
The Model Context Protocol is exploding in popularity, but every server represents a potential data exfiltration point. Without visibility into these local AI tools, you're securing the cloud while developers create backdoors on their laptops.
Real-world scenario
A developer installs what appears to be a legitimate MCP server for database queries. Unknown to anyone, it's harvesting AWS keys, database passwords, and API tokens, exfiltrating them to external command-and-control servers owned by threat actors.
How Clutch Solves It
Core Capabilities
Local MCP Discovery
Automatically detects all MCP servers running across developer endpoints
Identity Mapping
Shows exactly what credentials, tokens, and secrets each MCP server accesses
Legitimacy Verification
Distinguishes between official servers and potential malicious imposters
AI Agent Attribution
Identifies which AI agents (Copilot, Claude, Cursor, etc.) are consuming each MCP server and their access patterns
Unique Differentiators
Industry-first MCP security solution
No other platform addresses this emerging threat vector
Endpoint-to-cloud visibility
Connects local development activity to enterprise security posture
Real-time threat detection
Identifies suspicious MCP servers before they cause damage
Comprehensive identity governance
Extends NHI management to the AI development layer
clutch.security
Key Benefits
Immediate Impact
Discover hidden AI infrastructure
across your entire developer environment
Identify credential exposure
through unauthorized MCP servers immediately
Detect malicious servers
masquerading as legitimate development tools
Understand shadow AI risks
that traditional security tools completely miss
Long-term Value
Establish MCP governance
as AI development scales across your organization
Prevent credential theft
through comprehensive MCP server verification
Enable secure AI development
without stifling innovation
Maintain compliance
as AI development tools become audit requirements
Strategic Advantage
Stay ahead of emerging threats
in the rapidly evolving AI security landscape
Protect intellectual property
from exfiltration through compromised MCP servers
Scale AI development securely
with complete visibility and control
Future-proof your security
as MCP adoption accelerates industry-wide
Why This Matters Now
The Model Context Protocol is transforming how developers build with AI, but it's creating unprecedented security blind spots. Every MCP server is a potential.
Traditional security tools weren't built for this new AI-native development paradigm. Clutch's MCP Discovery capability provides the visibility and control you need to secure the future of software development.
Data exfiltration point
with access to sensitive company information
Credential theft vector
harvesting API keys and authentication tokens
Supply chain attack surface
where malicious actors can inject compromised servers
Compliance gap
as auditors begin scrutinizing AI development infrastructure