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Provability Fabric Security Overview

This document provides a comprehensive security overview for auditors, security teams, and compliance officers.

Executive Summary

Provability Fabric is a zero-trust, enclave-based system that provides cryptographic guarantees for AI system safety and compliance. The system enforces data access policies through cryptographic attestation, capability-based access control, and comprehensive audit trails.

Security Architecture

Zero-Trust Design Principles

  1. Never Trust, Always Verify: Every request is verified regardless of source
  2. Least Privilege: Access is granted only to the minimum necessary permissions
  3. Defense in Depth: Multiple security layers protect against various attack vectors
  4. Continuous Monitoring: All activities are logged and monitored in real-time

Core Security Components

┌─────────────────────────────────────────────────────────────┐
│                    Security Layers                          │
├─────────────────────────────────────────────────────────────┤
│  Layer 1: Network Security (TLS 1.3, mTLS)                  │
│  Layer 2: Authentication (JWT, OAuth, API Keys)             │
│  Layer 3: Authorization (Capability-based Access Control)   │
│  Layer 4: Enclave Attestation (Nitro/SEV)                   │
│  Layer 5: Policy Enforcement (Policy Kernel)                │
│  Layer 6: Data Protection (Encryption at Rest/Transit)      │
│  Layer 7: Audit & Compliance (Comprehensive Logging)        │
└─────────────────────────────────────────────────────────────┘

Cryptographic Guarantees

Enclave Attestation

  • Nitro Enclaves: AWS Nitro System attestation for compute isolation
  • SEV Enclaves: AMD Secure Encrypted Virtualization attestation
  • Measurement Verification: Cryptographic verification of enclave integrity
  • KMS Binding: Keys released only to verified enclaves

Capability-Based Access Control

  • Capability Tokens: Cryptographically signed access permissions
  • Label Flow: Data classification labels enforced throughout the system
  • Policy Rules: Declarative policies enforced by the Policy Kernel
  • Receipt Verification: Cryptographic proof of authorized access

Data Protection

Encryption Standards

  • TLS 1.3: All network communications encrypted with latest TLS
  • AES-256-GCM: Data encryption at rest using industry-standard algorithms
  • Key Rotation: Automatic key rotation with configurable intervals
  • Hardware Security Modules: Keys stored in FIPS 140-2 Level 3 HSMs

Data Classification

  • Sensitive Data: PII, PHI, financial data, trade secrets
  • Label Propagation: Data labels automatically propagated through the system
  • Access Controls: Label-based access control enforcement
  • Audit Trails: Complete tracking of data access and modifications

Access Control

Authentication Mechanisms

  • Multi-Factor Authentication: Required for all administrative access
  • Single Sign-On: Integration with enterprise identity providers
  • API Key Management: Secure API key generation and rotation
  • Session Management: Secure session handling with timeouts

Authorization Framework

  • Role-Based Access Control: Predefined roles with minimal permissions
  • Attribute-Based Access Control: Dynamic access based on context
  • Just-In-Time Access: Temporary access granted only when needed
  • Access Reviews: Regular review of access permissions

Threat Model

Attack Vectors

  1. Network Attacks: DDoS, man-in-the-middle, packet injection
  2. Application Attacks: SQL injection, XSS, CSRF, buffer overflows
  3. Insider Threats: Malicious administrators, compromised credentials
  4. Supply Chain: Compromised dependencies, malicious packages
  5. Physical Attacks: Hardware tampering, side-channel attacks

Mitigation Strategies

  • Network Security: Firewalls, IDS/IPS, DDoS protection
  • Code Security: Static analysis, dynamic testing, code reviews
  • Access Control: Multi-factor authentication, least privilege
  • Supply Chain: Dependency scanning (GitHub Dependency review on PRs, cargo-deny with root deny.toml, SBOM diff / Grype in CI), signed releases where applicable, and workflow linting (actionlint) when .github/workflows/** changes. See CI reference, SECURITY.md, and CONTRIBUTING.md.
  • Physical Security: Secure facilities, hardware security modules

Compliance & Auditing

Regulatory Compliance

  • GDPR: Data protection and privacy compliance
  • HIPAA: Healthcare data protection standards
  • SOX: Financial reporting and controls
  • SOC 2: Security, availability, and confidentiality controls

Audit Capabilities

  • Comprehensive Logging: All system activities logged with timestamps
  • Audit Trails: Complete trace of data access and modifications
  • Compliance Reports: Automated generation of compliance reports
  • Forensic Analysis: Tools for incident investigation and analysis

Incident Response

Security Incident Handling

  1. Detection: Automated monitoring and alerting
  2. Response: Immediate containment and investigation
  3. Recovery: System restoration and service recovery
  4. Post-Incident: Analysis, lessons learned, and improvements

Business Continuity

  • Disaster Recovery: Automated backup and recovery procedures
  • High Availability: Multi-region deployment with failover
  • Data Backup: Encrypted backups with geographic distribution
  • Service Continuity: Minimal downtime during security incidents

Security Metrics & Monitoring

Key Performance Indicators

  • Security Incidents: Number and severity of security incidents
  • Vulnerability Management: Time to patch critical vulnerabilities
  • Access Reviews: Completion rate of access permission reviews
  • Compliance Status: Regulatory compliance status and gaps

Continuous Monitoring

  • Real-time Alerts: Immediate notification of security events
  • Behavioral Analysis: Machine learning-based anomaly detection
  • Threat Intelligence: Integration with threat intelligence feeds
  • Vulnerability Scanning: Regular security assessments and scans

Security Testing

Testing Methodology

  • Penetration Testing: Regular external security assessments
  • Red Team Exercises: Simulated attack scenarios
  • Code Security Reviews: Automated and manual code analysis
  • Infrastructure Security: Security assessment of cloud infrastructure

Testing Frequency

  • Automated Testing: Continuous integration security testing
  • Manual Testing: Quarterly penetration testing
  • Red Team Exercises: Annual red team assessments
  • Compliance Audits: Annual compliance assessments

Security Documentation

Required Documentation

  • Security Policies: Comprehensive security policy framework
  • Procedures: Detailed security procedures and workflows
  • Standards: Security standards and technical requirements
  • Guidelines: Security best practices and recommendations

Documentation Maintenance

  • Regular Reviews: Annual review and update of security documentation
  • Version Control: Version control for all security documents
  • Access Control: Restricted access to sensitive security information
  • Training: Regular security awareness training for all staff