The data foundation for scaling AI

United Kingdom, May 6, 2026

AI, especially agentic AI, is driving massive investment, but most initiatives are stalling before production. 

Not because of the models - because the data foundation isn't ready. The risk is already there. Organisations don't have enough visibility or control over their data.

Today:

  • 96% of enterprise permissions go unused, creating hidden exposure
  • Many organisations don't know where a significant portion of sensitive data resides
  • AI tools can access and act on that data at scale, turning passive risk into active risk 

This creates a critical challenge. You can't safely scale AI if you don't fully understand your data.

Why traditional approaches fall short

Legacy data security and classification tools weren't designed for today's environments. They are often:

  • Slow to deploy and difficult to scale
  • Reliant on outdated classification methods
  • Generating high volumes of false positives and alert fatigue
  • Limited in visibility across cloud, SaaS, and unstructured data

The result? Security teams stay busy but are not necessarily effective. AI initiatives are delayed, and risk remains unclear.

What leading organisations are doing differently

Organisations making real progress are taking a different approach - starting with their data foundation.
They focus on three key areas:

  1. Visibility
    Understanding where data lives across cloud, SaaS, and on-prem environments often uncovers 50%+ more sensitive data than expected.
  2. Control
    Reducing noise and focusing on real risk, including cutting false positive alerts by up to 90%.
  3. Governance
    Gaining clear insight into how data is accessed by both users and AI, so it can be used safely and confidently.

With this foundation in place, organisations can move from:

  • Uncertainty → clarity
  • Reactive security → proactive control
  • AI hesitation → AI at scale

From insight to action, quickly

This doesn't need to be a long, complex transformation. In fact, organisations can now gain meaningful insight into their data environment in a matter of days, not months. 

  • A focused data assessment can quickly show:
  • Where your sensitive data actually resides
  • What's overexposed or misclassified
  • How data is being accessed across your environment
  • Where to prioritise action to reduce risk

No disruption. No complex deployment. Just clarity.

Build the foundation for AI with confidence

AI success doesn't start with models. It starts with data. By creating a clear foundation of visibility, control, and governance, organisations can:

  • Reduce data risk and exposure
  • Improve the effectiveness of existing security investments
  • Scale AI initiatives with confidence

Take the first step

If AI, data security, or governance is on your agenda this year, the first step is understanding where you stand today.

Request a Data & AI Assessment to get a clear, practical view of your current data landscape and what to do next.
 

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