Protocol Specifications
Technical overview of the mTrust Protocol decentralized trust framework.
Core Architecture
The mTrust Protocol implements a real-time trust evaluation system that operates at the protocol level to prevent unauthorized AI agent actions.
- Trust Scoring Engine: Real-time behavioral analysis
- Policy Engine: Context-aware security rules
- Risk Assessment: Dynamic threat level evaluation
- Decision Gateway: Enterprise-grade access control
mTrust Protocol Architecture
Enterprise security framework
AI AGENT LAYER
----------------
| |
| +--------+ |
| | AI | |
| | Agent | |
| |Enterprise| |
| +--------+ |
----------------
|
| mtrust://
v
=====================================================================
mTRUST PROTOCOL LAYER (Trust Gateway)
=====================================================================
+------------------+
| TRUST GATEWAY |
+---------+--------+
|
+-------------+-------------+
| |
v v
+--------------+ +----------------+
| Policy | | Behavioral |
| Engine | | Analyzer |
+------+-------+ +--------+-------+
| |
| v
| +---------------+
| | Trust Scorer |
| +-------+-------+
| |
| | (enterprise
| | security)
| v
----------------+-------------------------------+-------------
| ENTERPRISE DATA |
| |
| +------------------+ +---------------------------+ |
| | Security |<------->| Trust Database | |
| | Framework | (enterprise trust data) | |
| +------------------+ +---------------------------+ |
----------------------------------------------------------------
=====================================================================
SYSTEM LAYER (Execution Environment)
-------------------------------------
^
| authorized commands
|
+------+-------+
| Command |
| Executor |
+------+-------+
|
v
+------+-------+
| Target |
| System |
+--------------+Enterprise Performance
Performance Characteristics
- Trust evaluation: Real-time response
- Policy evaluation: Instant decisions
- Throughput: Enterprise-scale capacity
- Accuracy: High-precision threat detection
Security Framework
Risk Classifications
- LOW: Standard operations
- MEDIUM: Elevated permissions
- HIGH: Critical operations
- CRITICAL: System-level access
Policy Actions
- ALLOW: Execute immediately
- DENY: Block execution
- ESCALATE: Require approval
- MONITOR: Log and track
Integration Methods
The mTrust Protocol supports enterprise integration through multiple approaches:
- API Gateway: REST/GraphQL endpoint integration
- SDK Libraries: Native language bindings
- Middleware: Framework-specific plugins
- Proxy Mode: Transparent traffic interception
Patent-Pending Technology
The mTrust Protocol implements patent-pending technology for enterprise AI security and behavioral analysis. This includes proprietary approaches to:
- Dynamic trust scoring algorithms
- Context-aware policy enforcement
- Real-time threat detection
- Behavioral pattern analysis
Enterprise Access: Contact us for detailed technical specifications and implementation guidance for your organization.