AI Governance
AI you can explain and control
- All prompt templates version-controlled and reviewed
- Output validation layer before any downstream action
Security built into every layer of what we ship.
We treat security as a first-class engineering concern — not a checkbox added at the end. From access control to deployment flexibility, every system we build starts with a threat model.
How we approach it
Encryption in transit and at rest
All data moving between services uses TLS 1.2+. Sensitive data stored at rest is encrypted using AES-256 or equivalent. We configure this by default — you never need to ask.
Role-based access control
Every system we build implements least-privilege access. Users and service accounts get exactly the permissions they need and nothing more. We document the access model as part of every delivery.
Penetration testing readiness
We build systems that are ready to be tested. We follow OWASP Top 10 guidance throughout development, and we can facilitate third-party pen tests as part of your procurement process.
Secrets management
Credentials, API keys, and connection strings never appear in source code or configuration files. We use environment-level secrets management and integrate with Azure Key Vault, AWS Secrets Manager, or equivalent.
Deployment flexibility
We support cloud-hosted, private cloud, on-premises, and hybrid deployments. If your procurement or data governance requirements mandate a specific deployment model, we accommodate that without compromise.
Security logging and alerting
Every production system we ship includes structured logging for authentication events, access anomalies, and error conditions. Logs are retained in a tamper-evident store and can be piped to your SIEM.
Questions
Common questions about security.
Yes, and we encourage it. We produce a system design document and data flow diagram during scoping. Your security team can review and comment before we write a line of code. Any requirements that emerge from that review are incorporated into the scope.
We follow practices aligned with OWASP and NIST guidance: threat modelling during design, security requirements defined up front, code review with a security lens, and dependency scanning in CI. We do not claim certification, but we can show you exactly what controls are in place.
We design for deployment flexibility from the start. Whether you need on-prem, a private cloud tenancy, or a specific Azure/AWS region for residency, we account for that during architecture. It affects tooling choices, not our ability to deliver.
We pin dependency versions, run automated vulnerability scans in CI using tools like Snyk or GitHub Dependabot, and review high-severity findings before shipping. We do not use abandoned or un-maintained packages in production systems.
Other trust pillars
Data Handling
Your data stays yours
- Data minimisation reviewed at design stage
- Retention periods defined per data category
Compliance Readiness
Built to pass procurement
- Access control policy documented and implemented
- Change management process with audit trail