Security Framework

Kaizen AI is designed with a comprehensive security-first approach that protects both platform integrity and user trust.

Data Protection Measures

  • End-to-end encryption of sensitive data in transit and at rest (TLS 1.3, AES-256)

  • Secure storage with isolated access policies and encryption key rotation

Access Control Systems

  • Role-based access management (RBAC) for internal operations

  • Multi-factor authentication (MFA) for administrative access

  • Session token expiration and IP-based access filters

Encryption Standards

  • TLS/SSL for data in motion

  • AES-256 and SHA-3 for data at rest and in memory

Audit Trails

  • Full user and system action logging for traceability

  • Immutable audit logs with time-stamped events

  • Regular internal audits and external verification points

Vulnerability Management

  • Weekly automated scans across infrastructure and contracts

  • Bug bounty program with tiered rewards

  • Partnered third-party penetration testing and smart contract auditing

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