Security & AI Use

Security posture

Client data is handled with confidentiality and care. Security practices depend on the engagement scope and can be strengthened further for regulated or higher-sensitivity contexts.

Data handling

• Access is requested only when needed.
• Production access is avoided unless necessary.
• Confidential credentials and restricted configuration must be exchanged through secure, agreed channels rather than ordinary email or chat.
• Information intended for public use is separated from confidential credentials, access details, and restricted operational configuration.

AI-assisted work policy

• AI tools are not used with confidential client data unless explicitly agreed.
• AI-assisted code is reviewed, tested, and treated as untrusted until validated.

Code review and quality

Every deliverable is reviewed against the agreed outcome, tested appropriately, and documented clearly enough to support handover and future maintenance.

Confidentiality

Client IP and confidentiality are respected. Any public proof or examples are kept deliberately conservative and anonymised unless explicit approval exists.

Client responsibilities

The best outcomes happen when access, context, priorities, and constraints are shared clearly. Secure methods for exchanging credentials, samples, or production information should be agreed before access is provided. Public materials describe security controls at a general level; detailed architecture and implementation information is shared only where it is relevant, proportionate, and subject to appropriate confidentiality.