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Incident volume halved, triage time cut by four fifths

A global contract intelligence software company, Global. Introducing generative AI across enterprise contracting brought new security challenges, including prompt injection risk and compliance demands spanning more than 300 cloud subscriptions.

The situation

What the organization was dealing with

Introducing generative AI across enterprise contracting brought new security challenges, including prompt injection risk and compliance demands spanning more than 300 cloud subscriptions.

A software company introducing generative AI into its own product faces a security problem its customers will diligence directly. Prompt injection and data exposure are not internal risks in that setting — they are commercial ones.

What was done

The work, and the part that was actually hard

Security was consolidated onto Microsoft's integrated platform on Zero Trust principles — Defender for endpoint and cloud protection, Sentinel for monitoring, Purview for data governance, Entra for identity and Security Copilot for AI-assisted insight.

The measured outcomes are unusually clean: incident volume halved and triage time down eighty per cent. Both are consequences of consolidation and correlation rather than of new detection capability — the signal existed before; it was arriving in four places with nothing joining it up.

Results

What was published

These are the figures exactly as reported in the source. Nothing has been rounded, extrapolated or restated.

Reduction in incident volume50%
Reduction in triage time80%
Cloud subscriptions covered300+

What changed

  • Incident volume cut by half through consolidation and tuning
  • Triage time reduced by 80% with AI-assisted investigation
  • Generative AI applications secured against prompt injection and compliance risk
  • Security embedded into daily operations rather than run as a separate function
Platforms involved

What each product was doing here

Security

Microsoft Defender

Threat protection across endpoints, identity, email and cloud, correlated into single incidents rather than four separate alerts.

Security

Microsoft Sentinel

Centralised security monitoring and correlation across Microsoft and third-party signal sources.

Security

Microsoft Purview

Data classification, loss prevention, retention and the posture management that makes AI adoption defensible.

Security

Microsoft Entra

Identity and access management across the estate, including the conditional access policies that gate everything else.

Security

Security Copilot

AI assistance for security analysts — evidence gathering, triage and investigation support at machine speed.

What transfers

If you were to attempt this

The 50%/80% pattern — fewer incidents through correlation, faster triage through automation — is what a consolidation business case should be built on, rather than on tooling cost alone.

Where it usually gets harder than expected: Three hundred cloud subscriptions is a governance scale that defeats manual review. Posture management only helps if someone owns the remediation queue.

How we would take it on

Our approach to Managed IT & Security work

1

Map coverage honestly

Endpoints, identity, email and cloud — including the gaps. Most organizations have less coverage than they believe, particularly across identity and SaaS.

2

Deploy in audit mode first

Blocking policy on an untuned estate breaks something visible and costs the programme its sponsorship in the first week.

3

Tune until alerts are worth reading

An untuned console is functionally the same as no detection. Tuning is the deliverable, not the deployment.

4

Rehearse the response

Who can isolate a machine at two in the morning, and whether they need permission, is a conversation for a Tuesday afternoon.

Recognise the problem?

If any of the above describes your organization, tell us where it hurts most. We will tell you what the same platforms could realistically do in your environment, what we would measure, and whether we think it is worth doing at all.

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