Click any standard to see the scope, controls, and how to request attestation documentation.
Five independent security layers. Click any layer to inspect its controls.
“Your data is encrypted before it's stored and while it moves. Keys rotate automatically.”
AES-256 encryption at rest and TLS 1.3 in transit across all data flows. Automatic key rotation, data masking for non-production environments, and differential privacy techniques where required. Data residency and geographic compliance options are available by design.
From ingestion to deletion, every data touchpoint is controlled, monitored, and documented.
Secure data ingestion with validation and sanitisation. Every input is verified before it enters the pipeline.
Encrypted storage with geographic compliance options. Data residency requirements met by design.
Processing with strict access controls and logging. Every transformation is traceable and auditable.
Retention policies aligned with regulatory requirements. Automated enforcement with configurable schedules.
Secure deletion with verification and certification. Complete data destruction documented for compliance proof.
Hover or tap each card to read the full principle.
All AI solutions are designed with proportionality and legitimate business purpose at their core. Legal expertise is involved early to ensure compliance with GDPR, HIPAA, and emerging AI regulations before deployment. Environmental responsibility is embraced through efficiency-focused model design.
Core PrincipleSecurity runs across the full stack, not just the AI layer. Every system is stress-tested before deployment. All personal data is encrypted in transit and at rest. Where the use case calls for it, we use differential privacy and federated learning to keep data exposure to a minimum.
Stack-WideBias detection and ongoing monitoring are embedded throughout the AI lifecycle. Rigorous content moderation is applied to both training data and model outputs. Explainable AI approaches allow stakeholders to understand and audit model decisions. For high-explainability use cases, we employ composite AI approaches.
EmbeddedClearly defined roles, responsibilities, and human-in-the-loop oversight govern all higher-risk use cases. Strong documentation supports auditability and makes it straightforward to demonstrate governance to regulators. End-user feedback loops enable continuous improvement. Recurrent audits maintain compliance over time.
OngoingStandard enterprise procurement documents, available on request. Most are sent within 24 hours.
Standard DPA template covering controller-processor obligations under GDPR.
Request DPAFull technical overview of our security architecture, controls, and incident response process.
Request whitepaperComplete list of approved sub-processors: vendor, purpose, region, and compliance status.
View sub-processorsSummary of our breach detection, containment, notification, and remediation procedures.
Request documentOur responsible AI principles, bias assessment methodology, and oversight accountability structure.
Request frameworkTemplate PIA used across all new AI deployments to evaluate data protection risk before go-live.
Request templateReady to implement AI that meets your enterprise security and compliance requirements? Let's discuss how we can build a solution tailored to your industry.
A 30-minute technical session with our team. We walk through architecture, controls, compliance scope, and answer your team's specific questions.
DPA, security whitepaper, sub-processors list, and AI governance framework, sent directly to your inbox. Typical response within 24 hours.
Request documentation →All documentation requests are handled directly by our team. No automated replies.