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SECURITY_TODO.md•5 kB
# Security & Production Safeguards Suggestion ## šŸ›”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 ## šŸ” 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 ## šŸ“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 ## šŸ“‹ 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 ## ⚔ 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 ## šŸ¢ 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 ## 🚨 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 ## šŸŽÆ 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

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