Deep Dive into Our Data Protection Measures

Model training uses privacy redacted data prior to any training, so models are not trained with personal information like names, emails, phone numbers etc into their brain. Machines are also hosted only in top-tier countries inside secure tier-1 server facilities in USA, Australia, and Europe.

Overview

Data security and privacy are central to how we operate. Every day we handle information that matters — client data, operational records, and sometimes material that is commercially sensitive. Protecting that data is a shared responsibility across our organisation, not a single team’s task.

This paper explains the approach we take to safeguarding data: how our systems are structured, what standards we follow, and how we deal with incidents if they occur. The aim is to give clients a clear view of what happens behind the scenes and how we ensure information remains secure, compliant, and available when needed.

1. Commitment to Data Protection

Security at Zian AI is built around three principles: confidentiality, integrity, and availability. These guide every technical and procedural decision we make.

We operate under an Information Security Management System that mirrors the requirements of ISO/IEC 27001. The framework sets out how risks are identified, assessed, and controlled.

To support this framework:

• Access to systems is limited to those who genuinely need it.
  
• All staff complete annual security and privacy training.
  
• External specialists carry out independent reviews of our controls.
  
• Policies are revisited regularly to make sure they stay aligned with current threats and regulations.
  

We do not sell or share client data, and we are transparent about how and where information is processed.

2. Governance and Compliance

Our governance structure ensures accountability from the board level downwards. A Data Protection Officer oversees compliance with privacy legislation and reports directly to senior management.

We comply with:

• UK GDPR and the Data Protection Act 2018
  
• EU GDPR (for clients operating in the European Union)
  
• SOC 2 Type II and relevant ISO standards
  

Data Protection Impact Assessments are completed for new products or major changes. All suppliers handling client information are subject to due-diligence checks and contractually bound to meet our security standards.

Governance is not treated as a formality — it is a control mechanism that keeps decision-making consistent and auditable.

3. Data Security Architecture

Our infrastructure uses a layered defence model. Each layer addresses a specific aspect of risk, so that no single point of failure can compromise the whole environment.

Encryption

• Data in transit is protected by TLS 1.3 or higher.
  
• Data at rest is encrypted using AES-256.
  
• Encryption keys are managed through secure hardware modules with strict lifecycle controls.
  

Access Control

• Systems use role-based permissions and multi-factor authentication.
  
• Administrative access is logged and reviewed.
  
• Automated alerts identify unauthorised attempts or unusual activity.
  

Network Security

• Firewalls, intrusion detection, and endpoint protection are active across all systems.
  
• Patching and vulnerability scans are carried out on a defined schedule.
  
• Data is backed up to separate, encrypted storage in more than one geographic region.
  

This structure allows us to maintain uptime, protect integrity, and recover quickly should an issue arise.

4. Cloud Security

Our services run on secure cloud platforms certified under ISO 27017, ISO 27018, and SOC 2 Type II.

Each client environment is logically separated to prevent cross-access. Connections between systems use authenticated and encrypted APIs. Configuration reviews take place quarterly to confirm that permissions, network rules, and storage policies remain appropriate.

A Zero Trust approach governs all access: every user, device, and connection must be verified before any data can be reached.

5. Privacy by Design

Privacy is considered at the start of every project, not added later. Design teams are required to identify how data will be used, what is necessary to achieve the purpose, and what can be removed or anonymised.

Data is retained only for as long as it is needed. When no longer required, it is securely deleted from live systems and backups.

Clients can view and manage their own data through authenticated portals. Our privacy statements are written in plain English so that users understand exactly what happens to their information.

6. Incident Response and Recovery

If an incident occurs, we follow a structured process designed to minimise impact and restore normal service quickly.

Detection and Containment
Automated monitoring tools detect abnormal activity and alert the security operations team, who isolate the affected system if necessary.

Investigation and Communication
A forensic review identifies the cause and scale of the issue. Clients are notified promptly and kept informed throughout the resolution process.

Recovery and Review
Systems are restored using verified backups. A post-incident report documents findings and any corrective measures taken. Lessons are incorporated into future controls and staff training.

7. Continuous Improvement

Technology and regulations evolve, so we continuously test and refine our security posture. Independent penetration tests take place several times a year. Annual external audits verify compliance with recognised standards.

Employees complete refresher training to stay aware of emerging risks such as social engineering and phishing. Vendor relationships are reviewed regularly to ensure that partners maintain equivalent levels of protection.

Security is a moving target; improvement is ongoing and deliberate.

Conclusion

Our approach to security and privacy is practical, disciplined, and transparent. Clients place a high level of trust in us, and that trust depends on the protection of their data.

Through layered technical controls, clear governance, and a culture of accountability, Zian AI ensures that information remains secure from the moment it enters our systems to the moment it leaves.

We see security not as a feature but as a responsibility — one that underpins everything we do.