SECURITY_TODO.mdā¢5 kB
# Security & Production Safeguards Suggestion
## š”ļø Input Security & Validation
### `InputValidator.ts`
**Purpose:** Sanitize and validate all incoming MCP queries
**Implementation:** Pattern-based detection of injection attacks, length limits, rate limiting per session
### `PromptInjectionDetector.ts`
**Purpose:** Prevent malicious prompts from overriding system instructions
**Implementation:** ML-based detection of instruction override attempts, context isolation patterns
### `QueryComplexityAnalyzer.ts`
**Purpose:** Prevent resource exhaustion through expensive queries
**Implementation:** Cost-based query analysis, execution time limits, resource usage monitoring
## š Authentication & Authorization
### `AuthenticationManager.ts`
**Purpose:** Secure API key and session management
**Implementation:** JWT tokens, API key rotation, multi-factor authentication integration
### `RoleBasedAccessControl.ts`
**Purpose:** Fine-grained permissions for different user types
**Implementation:** RBAC with hierarchical roles, dynamic permission assignment, least-privilege principles
### `SessionManager.ts`
**Purpose:** Secure multi-turn conversation handling
**Implementation:** Encrypted session tokens, IP validation, concurrent session limits
## š Data Protection & Compliance
### `DataClassificationEngine.ts`
**Purpose:** Automatically classify and protect sensitive data
**Implementation:** PII detection, data labeling, dynamic masking based on user clearance
### `ContentFilter.ts`
**Purpose:** Prevent information disclosure in responses
**Implementation:** Response sanitization, internal metadata removal, debug info filtering
### `ComplianceFramework.ts`
**Purpose:** Ensure regulatory compliance (GDPR, SOX, PCI DSS)
**Implementation:** Data retention policies, consent management, cross-border data rules
## š Audit & Monitoring
### `AuditLogger.ts`
**Purpose:** Comprehensive audit trail for all MCP operations
**Implementation:** Structured logging, immutable audit records, regulatory reporting integration
### `SecurityEventMonitor.ts`
**Purpose:** Real-time security threat detection and alerting
**Implementation:** Anomaly detection, behavioral analysis, SIEM integration
### `ThreatIntelligence.ts`
**Purpose:** Integration with threat intelligence feeds
**Implementation:** Known malicious pattern detection, IOC matching, threat landscape updates
## ā” Operational Security
### `CircuitBreaker.ts`
**Purpose:** Prevent cascade failures and service degradation
**Implementation:** Failure threshold monitoring, graceful degradation, automatic recovery
### `RateLimiter.ts`
**Purpose:** Protect against DoS and abuse
**Implementation:** Token bucket algorithm, user-based limits, burst handling
### `ResourceMonitor.ts`
**Purpose:** Track and limit resource consumption
**Implementation:** Memory/CPU monitoring, query timeout enforcement, resource quotas
## š¢ Enterprise Integration
### `IdentityProvider.ts`
**Purpose:** Integration with enterprise identity systems
**Implementation:** Active Directory/LDAP integration, SSO support, group-based permissions
### `SecretsManager.ts`
**Purpose:** Secure management of API keys and credentials
**Implementation:** HashiCorp Vault integration, automatic rotation, encrypted storage
### `NetworkSecurity.ts`
**Purpose:** Network-level security controls
**Implementation:** IP whitelisting, TLS enforcement, VPN requirements, network segmentation
## šØ Common MCP Vulnerabilities
### High-Risk Threats:
- **Prompt Injection:** Malicious queries attempting to override system instructions
- **Information Disclosure:** Responses leaking sensitive internal data or system architecture
- **Authorization Bypass:** Users accessing data beyond their permission levels
- **Data Exfiltration:** Bulk extraction of sensitive data through repeated queries
### Medium-Risk Threats:
- **Session Hijacking:** Unauthorized use of valid session tokens from different locations
- **DoS Attacks:** Resource exhaustion through computationally expensive queries
- **Model Poisoning:** Manipulation of training data in adaptive learning systems
- **Compliance Violations:** Improper handling of regulated data (PII, financial records)
### Banking-Specific Risks:
- **Regulatory Non-Compliance:** Failure to meet SOX, GDPR, PCI DSS requirements
- **Cross-Border Data Issues:** Violating data residency and sovereignty laws
- **Insider Threats:** Privileged users accessing data beyond business need
- **Audit Trail Gaps:** Insufficient logging for regulatory investigations
## šÆ Implementation Priority Matrix
### **Phase 1 (MVP Security):**
```
ā” Basic input validation and sanitization
ā” API key authentication
ā” Simple rate limiting
ā” Basic audit logging
ā” Error message sanitization
```
### **Phase 2 (Production Security):**
```
ā” Role-based access control
ā” Session management with encryption
ā” Comprehensive audit trails
ā” Content