Security Guidelines

Logic AI is built with security as a foundational principle. This guide outlines the security features, best practices, and compliance standards that protect your data and workflows.

Security Architecture

Infrastructure Security

• Cloud Security: Logic AI is hosted on secure cloud infrastructure with multiple layers of protection
• Network Isolation: Compartmentalized network architecture prevents lateral movement
• DDoS Protection: Advanced protection against distributed denial-of-service attacks
• 24/7 Monitoring: Continuous security monitoring and threat detection
• Vulnerability Management: Regular scanning and patching of all systems

Data Security

• Encryption in Transit: All data transmissions secured with TLS 1.3
• Encryption at Rest: All stored data encrypted using AES-256
• Key Management: Robust key management system with regular rotation
• Secure Data Processing: Isolated execution environments for data processing
• Data Residency Options: Control where your data is stored and processed

Authentication & Access Control

User Authentication

• Multi-Factor Authentication: Require MFA for all account access
• Single Sign-On: Integration with enterprise SSO solutions
• Password Policies: Enforce strong password requirements
• Session Management: Automatic session timeouts and device tracking
• Login Monitoring: Detection of suspicious login attempts

Authorization Controls

• Role-Based Access Control: Fine-grained permission system
• Least Privilege Principle: Users granted only necessary permissions
• API Security: Scoped API tokens with expiration
• Audit Logging: Comprehensive logs of all access and actions
• Admin Controls: Advanced controls for organization administrators

Workflow Security

Secure Development

• Secure by Design: Security built into workflow development process
• Component Isolation: Workflows operate in isolated environments
• Input Validation: Comprehensive validation of all user inputs
• Output Sanitization: Prevention of injection attacks
• Rate Limiting: Protection against excessive requests

AI Safety Controls

• Content Filtering: Content moderation for inputs and outputs
• Usage Monitoring: Track and limit model usage
• Prompt Injection Protection: Detection and prevention of malicious prompts
• Output Review: Capabilities for human review of AI outputs
• Safety Boundaries: Enforced limitations on AI capabilities

Data Privacy

Privacy Features

• Data Minimization: Tools to limit data collection to what's necessary
• User Consent Management: Features to manage and track user consent
• Anonymization Options: Tools for anonymizing personally identifiable information
• Privacy by Design: Privacy considerations integrated into platform architecture
• Subject Access Requests: Tools to handle data subject requests

Retention & Deletion

• Configurable Retention: Control how long data is stored
• Secure Deletion: Permanent erasure of data when no longer needed
• Archiving Options: Secure long-term storage with access controls
• Backup Security: Encrypted, access-controlled backup systems
• Deletion Verification: Audit trails for data deletion

Compliance

Standards Compliance

• SOC 2 Type II: Third-party verified operational controls
• GDPR Compliance: Tools and processes for European data protection requirements
• HIPAA Readiness: Features for healthcare data compliance
• ISO 27001: Information security management standards
• CCPA Compliance: California Consumer Privacy Act features

Industry-Specific Security

• Financial Services: Features for PCI-DSS compliance
• Healthcare: HIPAA-aligned security controls
• Public Sector: Government security standard compatibility
• Education: FERPA-compatible data handling
• Enterprise: Enterprise-grade security across all features

Security Best Practices

Platform Security Recommendations

• Regular Access Review: Audit user access quarterly
• Security Monitoring: Set up security alerts and monitoring
• Workflow Scanning: Scan workflows for security issues
• Shared Responsibility: Understand security responsibilities
• Security Updates: Keep client-side tools updated

Implementation Guidelines

graph TD
    A[Identify Security Requirements] --> B[Apply Least Privilege]
    B --> C[Implement Authentication]
    C --> D[Secure Data Storage]
    D --> E[Enable Monitoring & Alerting]
    E --> F[Regular Security Review]
    F --> G[Incident Response Planning]

Incident Response

Response Procedures

• Incident Detection: Systems for early detection of security events
• Notification Process: Timely customer notifications for security incidents
• Containment Protocols: Rapid isolation of affected systems
• Investigation Process: Thorough analysis of security events
• Remediation Steps: Swift addressing of vulnerabilities

Business Continuity

• Disaster Recovery: Robust systems for service restoration
• Backup Systems: Redundant systems to prevent data loss
• Recovery Time Objectives: Defined recovery timelines
• Regular Testing: Scheduled tests of recovery procedures
• Crisis Management: Clear procedures for managing security events

Security Resources

Documentation

• Security Whitepapers: Detailed documentation on security architecture
• Compliance Certifications: Publicly available compliance information
• Implementation Guides: Security-focused implementation guidance
• Risk Assessment Tools: Resources for evaluating security risks
• Security Bulletins: Regular updates on security matters

Support

• Security Team Access: Direct channels to security personnel
• Vulnerability Reporting: Clear process for reporting security issues
• Security Notifications: Subscription service for security updates
• Penetration Testing: Guidelines for customer penetration testing
• Security Reviews: Collaborative security assessment process

Next Steps

• Review your implementation against our Security Checklist
• Learn about Data Governance best practices
• Explore Enterprise Features for additional security capabilities