Security & Compliance

Enterprise-grade security built in, not bolted on.

When organisations entrust us with their AI transformation, they're trusting us with their data, their processes, and their reputation. We take that responsibility seriously.

Our Approach

Security Principles

Security by Design

Security isn't an afterthought — it's built into every system from the start. We follow secure development practices and conduct regular security reviews.

Data Protection

Your data is your data. We implement strict access controls, encryption at rest and in transit, and clear data handling policies.

GDPR Compliance

Full compliance with UK GDPR and data protection legislation. We can provide Data Processing Agreements and support your compliance requirements.

Responsible AI

We embed governance, transparency, and ethical considerations into every AI system. Humans remain in control of critical decisions.

Technical Details

Infrastructure & Compliance

Cloud Infrastructure

  • AWS infrastructure with enterprise-grade security
  • Multi-availability zone deployments
  • Auto-scaling for reliability
  • Regular security patches and updates

Data Security

  • Encryption at rest (AES-256)
  • Encryption in transit (TLS 1.3)
  • Secure key management (AWS KMS)
  • Regular backup and disaster recovery

Access Control

  • Multi-tenant data isolation
  • Role-based access control (RBAC)
  • Single sign-on (SSO) support
  • Audit logging and monitoring

Compliance

  • UK GDPR compliant
  • Data Processing Agreements available
  • Regular security assessments
  • Incident response procedures

Responsible AI

AI Governance Framework

AI systems need governance, not just good intentions. We embed ethical considerations, transparency requirements, and human oversight into every system we build.

Our AI governance framework ensures that AI decisions can be explained, biases are identified and mitigated, and humans remain in control of critical business decisions.

Our AI Governance Includes:

  • Explainability — AI decisions can be understood and audited
  • Human oversight — Critical decisions require human approval
  • Bias monitoring — Regular assessment for unfair outcomes
  • Transparency — Clear documentation of AI capabilities and limitations
  • Accountability — Defined responsibilities for AI outcomes

Questions About Security?

We're happy to discuss our security practices in detail, provide documentation, or arrange a security review with your team.