We secure the AI your organisation is already using — and the AI you're about to adopt. From Copilot readiness and shadow AI discovery to Azure OpenAI guardrails and governance evidence for auditors.
Microsoft Copilot is live in many UK organisations. Most switched it on before the data governance was ready — and now have an AI assistant that can surface HR files in legal conversations, executive salary data in general searches, and confidential documents across teams that never knew they were over-sharing. Copilot doesn't create these risks. It makes existing permissions problems visible and fast.
The challenge isn't the AI itself. It's the permissions model underneath it, the data classification gaps, the absence of logging, and the lack of policy for what AI tools your people are actually using. Shadow AI — staff using ChatGPT, Claude, Gemini for work tasks — is already inside most organisations. The question is whether you know about it, and whether your sensitive data is leaving with it.
Copilot for Microsoft 365 is powerful — and it respects your existing permissions model precisely. That's the problem. If your SharePoint is over-shared, your sensitivity labels are missing, and your DLP policies haven't been updated, Copilot will happily surface the wrong data to the wrong people.
Our Copilot readiness assessment checks the security foundations before you go live — or tightens them if you're already live. We focus on data boundary, over-sharing, Purview labelling, and the audit logging that lets you see what Copilot is doing.
Your staff are already using AI. ChatGPT, Claude, Gemini, Perplexity, Otter.ai, Grammarly — dozens of AI-powered tools are already inside your organisation, most without IT awareness, none with DLP controls. Sensitive data is leaving, and you can't see it.
We analyse your Defender for Cloud Apps telemetry, network logs, and browser activity to map exactly which AI tools are in use, by whom, and with what frequency. We then help you build a policy framework: sanctioned tools with guardrails, tolerated tools with usage agreements, and blocked tools where the risk is unacceptable.
If your organisation is building on Azure OpenAI or Microsoft AI Foundry, the security envelope around those workloads needs the same rigour you'd apply to any sensitive application. Public endpoints, overprivileged service accounts, absent audit logging, and no content filtering are common in early-stage AI deployments.
We don't design the AI application — that's your development team or NeuraSec. We make sure the security controls around it are solid: network isolation, identity, logging, guardrails, and detection rules in Sentinel so you know when something unusual is happening.
Regulators — FCA, ICO, CQC, sector-specific bodies — are increasingly asking about AI. They want to see more than "we use Copilot responsibly." They want documented evidence: a register of AI use cases, risk assessments, DPIAs, human oversight mechanisms, and audit logs of AI-assisted decisions.
We help you build this evidence base from the ground up — structured around your regulatory obligations, not a generic AI policy template. The output is a governance framework your DPO, legal team, and auditors can work with.
That's our sister company, NeuraSec — AI delivery consultants for organisations of 200–5,000 staff. They handle strategy, governance, Copilot programme architecture, and Microsoft Fabric data foundations. We make what they build secure. One family, two distinct specialisms.
AI security is not a one-time project. We work through all six phases — from initial governance assessment through to ongoing monitoring and assurance.
AI security roadmap & governance design
Copilot readiness & shadow AI discovery
Controls, policy, and guardrails
Tighten as AI adoption grows
Ongoing monitoring & shadow AI detection
Governance evidence & regulatory readiness
A free 30-minute call with a senior security architect. You leave with: a quick-look read of your current AI security posture, the top three risks we'd tackle first — whether that's Copilot data exposure, shadow AI, or missing governance — and a clear view of whether and how we can help.
Whether you're about to roll out Copilot, already live with AI tools, or trying to get shadow AI under control — we'll tell you honestly what we see and what we'd do first.
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