— C·03Advisory

AI Identity & Access Risk.

Enterprises adopting AI need governance over identity, data exposure boundaries, and access architecture. Our AI Identity & Access Risk Assessment defines the governance principles and security architecture patterns that make AI safe to scale.

— I · Ideal client

For organisations that…

  • 01Are deploying Microsoft Copilot or equivalent enterprise AI
  • 02Building agentic / RAG systems on enterprise data
  • 03Adopting OpenAI Enterprise, Vertex AI, or Bedrock
  • 04Concerned about data exposure through AI integrations
— II · Scope of assessment

5 domains. Architecture-level.

01AI Access to Enterprise Data

Where AI tools read enterprise data (SharePoint, OneDrive, SAP, SaaS). Effective access vs intended.

02Identity Governance for AI

Service principals, agents, delegated permissions, OAuth scopes. Lifecycle and ownership.

03SaaS Integrations Used by AI

Connector and plugin inventory. Integration trust map.

04AI Data Exposure Risks

Sensitivity labelling, oversharing patterns, prompt-injection-relevant data flows.

05Machine Identity Implications

Tokens, certs, and rotation hygiene for AI systems and agents.

— III · Engagement cadence

Week by week.

Week 1

Kickoff. AI tooling inventory. Risk hypothesis workshop.

Week 2

Identity and integration mapping.

Week 3

Data exposure analysis. Findings synthesis.

Week 4

Report and target governance model.

— IV · Deliverables

What you receive.

  • 01AI identity governance principles
  • 02AI architecture guardrails
  • 03AI access risk observations
  • 04Target governance model and operating cadence
⊘ Out of scope
  • Copilot deployment
  • Data labelling project
  • Sensitivity remediation
Tools used
Copilot Studio overviewEntra IDPurview overviewVisio / draw.io
— The next step

Begin where every Flowuity engagement begins — discovery.

Forty-five minutes. No deck. No pitch. We ask better questions about your identity estate than you have been asked.

Book a meeting →