Securing Data Across the AI Lifecycle
From training datasets through to real-time inputs and generated outputs, AI systems depend heavily on data, which makes it a critical focal point for security and risk management.
This service provides a comprehensive approach to securing data across ingestion, processing, storage, and output, ensuring that data integrity, confidentiality, and regulatory requirements are maintained at all times.
For Microsoft customers, we place a strong emphasis on maximising value from existing technology investments. Leveraging Microsoft Purview capabilities (subject to applicable licensing), we enable rapid deployment of data security and governance policies that support discovery, visibility, and control across AI use cases.
This includes helping organisations gain early insight into how sensitive data is being accessed, shared, and processed by generative and agentic AI solutions which in turn supports informed, proportionate decisions around policy, controls, and risk management. This work can be delivered hand‑in‑hand with our wider Microsoft Purview Data Loss Prevention consultancy and deployment services, ensuring a cohesive, scalable approach to AI data security that aligns with broader data protection and security objectives.
The Importance of AI Data Security
AI systems significantly increase the complexity and volume of data processing, introducing risks such as:
- Exposure of sensitive or regulated data during model training or inference
- Data leakage through prompts, outputs, or integrations with external models
- Loss of data integrity affecting model performance and decision-making
- Uncontrolled data flows across systems and third-party services
- Non-compliance with data protection regulations such as GDPR
For CNI organisations, failures in data security can have direct implications for operational safety, resilience, and regulatory compliance.
What to Expect From Our AI Data Security Service
Our service delivers end-to-end data security controls tailored to AI environments, including:
The Benefits of Shadow AI Discovery
Full visibility of AI usage across the organisation
Identification and mitigation of hidden data exposure risks
Improved governance and control over AI adoption
Enhanced regulatory compliance and audit readiness
Ability to safely enable AI innovation without uncontrolled risk
Start Your AI Data Security Journey
Speak with one of our experts to see how we can support your organisation.
How it Works
We take a lifecycle-driven approach to AI data security:
- Data Discovery & Classification – Understanding what data is used and where
- Risk Assessment – Identifying vulnerabilities across the data lifecycle
- Control Design – Defining appropriate protection and access mechanisms
- Implementation Support – Embedding controls into AI pipelines and platforms
- Monitoring & Assurance – Ensuring ongoing data security and compliance
Customer Stories
Why Us?
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Awards
Our team have won numerous industry awards, including 'Cyber Business of the Year' at the National Cyber Awards 2024 and 'Best Cyber Security Company of the Year' at the Cyber Security Awards 2023.
Certifications
Our people and services are highly accredited by leading industry bodies including CREST, the NCSC, and more. Our SOC holds extensive accreditations from CREST (including for CSIR and SOC2) and works closely with our cyber consultancy services.
Partnerships
As a Microsoft Partner, we also hold advanced specialisms in Cloud Security and Threat Protection. We’ve also implemented some of the UK’s largest deployments of the Microsoft Security stack, inc. Sentinel, Defender, Purview and more.
