Your organisation has deployed AI. Have you secured it?
Microsoft 365 Copilot, GitHub Copilot, Azure OpenAI, and custom AI agents are transforming how enterprises operate. They are also creating a new category of security risk that most organisations have not yet addressed.
AI adoption has moved faster than governance. The result is a growing gap between what your organisation has deployed and what it has secured. Microsoft 365 Copilot can traverse your entire tenant — every SharePoint site, email thread, Teams channel, and document — at a speed no human can match. The SharePoint permission sprawl that accumulated over years of low-governance provisioning, the sensitivity labels inconsistently applied, the stale access groups that were never reviewed: none of these required urgent remediation when discovery was manual. Each becomes a material risk the moment an AI system can aggregate and summarise your most sensitive data in seconds.
Beyond data exposure, AI systems face a distinct class of attack. Prompt injection — in which malicious instructions embedded in an email or document silently redirect Copilot behaviour — has been demonstrated in live Microsoft 365 environments. Shadow AI usage by employees moves sensitive data outside your tenant with no DLP coverage and no audit trail. Custom agents and third-party integrations frequently operate with broader API permissions than they need, creating supply chain risk that can cascade across every connected platform.
The MITRE ATLAS knowledge base now catalogues 66 documented attack techniques targeting AI systems. Most organisations have not mapped a single one to their environment.
Every engagement delivers a complete, actionable view of your AI risk exposure across Microsoft 365 Copilot, Azure OpenAI, GitHub Copilot, Copilot Studio agents, and all connected integrations.
A structured inventory of every AI system, agent, and integration in your environment, mapped to its data sources, user populations, and privilege levels.
Your environment assessed against the industry-standard AI adversarial framework, with every finding anchored to a documented technique ID.
Scored, evidenced findings with likelihood, impact, MITRE ATLAS mapping, owner assignment, and recommended remediation for every identified issue.
A phased 30/90/180-day plan built around controls already available in your Microsoft licensing — no unnecessary third-party tooling.
Board-ready summary with risk heat map and top strategic recommendations, written for leadership without requiring technical background.
Full methodology, configuration evidence, permission export data, Unified Audit Log samples, and detailed remediation guidance for your security team.
Microsoft-native first. The majority of AI security risks in a Microsoft 365 environment can be addressed using capabilities already included in your E3 or E5 licensing — Microsoft Purview, SharePoint Advanced Management, Defender for Cloud Apps, and Conditional Access. We recommend native controls before any third-party tooling. The challenge is not purchasing new tools; it is knowing what to configure, in what order, and how to evidence it.
Threat-model driven. Every finding we produce is anchored to a specific MITRE ATLAS technique. This gives your security team a standardised, vendor-neutral taxonomy for communicating risk, prioritising investment, and building detection capability over time.
Evidence-based. Findings are substantiated with configuration screenshots, permission export data, Unified Audit Log samples, and reproducible test scenarios — not subjective opinions. The output is defensible to internal audit, board governance, and customer due diligence.
Read-only, no disruption. We require only read-only access to your Microsoft 365 environment. We make no configuration changes during the assessment. All recommended changes are documented in the remediation roadmap for your team to implement at their own pace.
| Rapid Assessment | Standard Assessment | Enterprise Assessment | |
|---|---|---|---|
| Organisation size | 100–500 employees | 500–2,500 employees | 2,500–10,000 employees |
| Duration | 1–3 weeks | 3–6 weeks | 4–9 weeks |
| Scope | Copilot; single tenant | Copilot + integrations; shadow AI discovery | Full AI inventory; integrations; multi-tenant |
| Deliverables | Risk Register, Executive Report, Remediation Roadmap | Full deliverable suite | Full deliverable suite + Board Presentation |
Designed for mid-market and large enterprise organisations (100–10,000 employees) that have deployed or are planning to deploy Microsoft 365 Copilot, and that need to demonstrate AI security governance to leadership, customers, or regulators.
CISOs and security teams seeking a defensible, evidence-based baseline before or after Copilot rollout.
IT Directors and Microsoft 365 Administrators concerned about data governance, permission hygiene, and Copilot-related data exposure.
AI programme leads responsible for safe, governed deployment of AI capabilities across the organisation.
Risk, compliance, and audit functions that need documented evidence of AI security controls for internal review or customer due diligence.
To get started, contact us to receive a scoping questionnaire. This allows us to understand your AI deployment landscape and identify your priority risk areas before recommending the appropriate service tier.