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