Security-first AI model connectivity
Aibrora is designed with careful data handling, API key protection, minimal request logging, and compliance-aware onboarding for business customers.
Precise commitments for an early-access platform
The first release describes the intended security model and roadmap without overstating production controls that have not been implemented yet.
Data handling principles
We aim to collect only the data needed to provide the service, operate the platform, support customers, and maintain security. Product decisions should follow purpose limitation, data minimization, and clear retention practices.
API key security
API keys should be created, stored, scoped, rotated, and revoked through secure workflows. The platform roadmap includes hashed key storage, key prefixes for identification, organization-level controls, and audit trails.
Encryption in transit
API traffic should be protected using modern TLS. Customers should avoid sending credentials or sensitive secrets inside prompt content.
Minimal request logging
The platform is designed to log operational metadata by default, such as request time, model ID, latency, token usage, and status. Prompt and output logging should be optional, clearly disclosed, and configurable for approved use cases.
Abuse prevention
Early-access onboarding includes use case review. The platform should support usage monitoring, rate limits, suspicious activity review, and enforcement of responsible AI policies.
Provider credential protection
Provider credentials must be encrypted, access-controlled, and separated from customer-facing systems. Administrative access should be limited to authorized personnel and logged where appropriate.
Audit logs roadmap
Future business features may include organization audit logs for API key creation, configuration changes, billing events, and administrative actions.
Enterprise compliance roadmap
The roadmap may include role-based access control, data processing documentation, retention controls, security questionnaires, and enterprise review workflows.
Responsible AI use
Customers are expected to use the platform responsibly, follow applicable laws, respect provider policies, and avoid harmful or deceptive use cases.
Discuss security requirements
Share your security review needs, compliance expectations, and intended product workflow. We will follow up with the appropriate next steps.