Security foundations for controlled AI work.

Infrastructure and application safeguards

• Secure cloud infrastructure providers are used for hosting and configured services.
• Tenant isolation foundations require trusted organisation scope for protected records.
• Authentication, role and IAM controls are being strengthened toward formal least-privilege enforcement.
• MFA, security headers, rate limiting and dependency controls have documented foundations and ongoing verification work.

Controlled actions and auditability

Logicl is designed to keep risky, external or tenant-impacting actions behind human approval. Approval, audit and security-event foundations support reviewable operations as the platform matures.

Admin and support access should be authorised, limited and auditable. Formal access reviews and production readiness evidence remain roadmap items.

Privacy, retention and AI safety

Privacy and retention foundations classify records, exclude customer conversations from automatic training by default, and support redaction and review direction. Automated deletion and customer export workflows are still being developed.

Prompt injection, unsafe-request handling and AI safety testing are ongoing areas of work. Tenant-approved knowledge and human correction are intended to reduce unsafe or inaccurate responses.

Security maturity

Logicl is working toward stronger security baselines over time. Public claims should be backed by evidence, and each customer deployment may require its own risk, legal and procurement review.

Report a suspected vulnerability or security incident to security@logicl.com.au. Please do not include secrets or unnecessary personal information in the first report.