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AI Readiness Check: Secure your data before you turn on Microsoft 365 Copilot

Identify and eliminate "Oversharing" risks. Ensure your organization’s sensitive data doesn’t end up in the wrong hands before deploying GenAI. Use our "Oversharing Heatmap" to visualize your exposure.

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The "Oversharing" trap

Microsoft 365 Copilot is a powerful productivity engine, but it respects access, not intent. Copilot sees everything a user sees5. Without a governance framework, this creates immediate risks:

The "Salary" Scenario

If permissions are loose, a junior employee could query Copilot for "CEO's salary" or "Layoff plans" and receive an instant, accurate summary.

Garbage In, Garbage Out

AI is only as good as your data. Redundant, Obsolete, and Trivial (ROT) files clog the system, leading to AI hallucinations and poor decision-making.

Shadow AI Risks

Are employees currently pasting sensitive IP into public instances of ChatGPT? You need a governance framework to control this behavior.

Licensing Confusion

Is your infrastructure—specifically your Update Channels and Entra ID—actually ready for Copilot’s strict technical requirements?

Our methodology: A 4-Step path to safe AI

We treat AI deployment as a security project, not just a productivity update.

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01

Discovery & Scanning

We deploy non-invasive scanning tools to map your entire SharePoint and OneDrive permission structure, identifying who has access to what.
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02

Risk Analysis

We generate an "Oversharing Heatmap." This visualizes high-risk areas, such as Finance folders accessible by "Everyone" or sensitive HR sites with broken inheritance.
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03

Remediation Workshop

We don't just find the problems; we fix them. We sit with data owners to classify critical data and apply Microsoft Purview Sensitivity Labels.
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04

Readiness Verification

A final technical check of Entra ID, licensing, and app versions to ensure a smooth "Day 1" launch.

Scope of Work: Building your semantic index

To prepare your environment, we focus on hardening your security posture and preparing your Semantic Index.

01

Deep Permission Audit

We scan SharePoint and OneDrive for broad access controls, specifically flagging files shared with "Everyone," "Domain Users," or "Authenticated Users".

02

PII Identification

Automated identification of Personally Identifiable Information (PII) and financial data that is currently sitting in open access locations.

03

Semantic Index Optimization

We evaluate your data structure to ensure it is readable, clean, and properly indexable for Copilot algorithms.

04

Microsoft Purview Assessment

A review of your current Data Loss Prevention (DLP) policies and Sensitivity Labels to ensure they carry over to AI interactions.

05

Technical Prerequisites

Verification of Microsoft 365 app versions (Update Channels) and licensing prerequisites.

Deliverables: what you get

Deliverable

Value for Client

Oversharing Heatmap

A visual map showing departments and sites with the highest risk of unauthorized data exposure.

Data Remediation Plan

A specific checklist of actions, such as "Remove inheritance on HR site," "Archive 2TB of legacy data," or "Apply 'Confidential' labels".

AI Governance Strategy

A draft "Acceptable Use Policy" for AI within your organization to prevent Shadow AI usage.

Technical Readiness Report

Verification of software versions, Entra ID configurations, and licenses required for deployment.

Professnet is officially certified for: ISO 27001

ISO certifications reflect our focus on delivering reliable and secure technology services.
iso-iec 27001-2022 certified

Tier-1 Partner

Direct collaboration with Microsoft engineers

16 Years

Experience in system design

ISO 27001

Certified information security

< 15 min

Critical incident response time (SLA)

Why Us?

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Security First

We are a Microsoft Security specialist. We understand that AI readiness is fundamentally a data security challenge.

Data Estate Expertise

Successful AI requires clean data. We have extensive experience in intranet migrations and data cleanup, which are the prerequisites for effective AI.

What our customers say about us

Their professionalism, reliability, and commitment to each project ensure that every collaboration runs smoothly and efficiently. I wholeheartedly recommend Professnet as a solid and competent business partner.

Mariusz Duczek

Managing Director @ SCHURTER

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Thanks to their skills in system integration and technological consulting, we have significantly improved our operational processes. Projects are executed not only on time but with the utmost care.

Jarosław Sojewski

Managing Director @ FOMAR Friction

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The professionalism of the team, their quick response to our needs, and in-depth analysis have enabled us to optimize our cloud environment and enhance its security. We confidently recommend Professnet as a solid technology partner.

Maciej Kromkowski

Board Member @ Power21

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Case studies

From Local Server Room to Global Cloud

How abcgo.pl Reduced Costs by 40% and Secured Client Financial Data.

ERP System:

enova365

Technologies:

Microsoft Azure, Azure Virtual Desktop (AVD), SQL Database

Key Achievement:

40% OPEX Reduction
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Building a resilient security architecture

How KZBS secured the ecosystem of 500+ cooperative banks against modern threats.

Sector:

Banking / Public Trust

Scale:

500+ Associated Banks

Key Compliance:

NIS2, DORA, GDPR, ISO 27001

FAQ

No. Commercial Microsoft 365 Copilot data does not leave your tenant's trust boundary and is absolutely not used to train public LLMs.

We use a surgical approach. Instead of breaking workflows, we remove "global" permissions (like 'Domain Users') and replace them with specific Microsoft 365 Groups. This maintains workflow efficiency while ensuring Copilot respects security boundaries.

Beyond the commercial M365 licenses, you need the "Current" update channel for apps, specific Entra ID accounts, and a healthy Semantic Index. Our audit validates all of these elements.

No. You do not need an E5 license to run the assessment. However, we will advise on whether upgrading to E5 is cost-effective for your organization to gain access to automated security features like auto-labeling moving forward.

Leaving ROT data creates a "Garbage In, Garbage Out" scenario. Copilot may reference outdated documents (e.g., an old policy from 2019) to answer current questions, leading to hallucinations and poor decision-making.

Yes. As part of the AI Governance Strategy deliverable, we provide a draft "Acceptable Use Policy" to help you manage how employees interact with both Copilot and public AI tools.

Technology Partners

We are always happy to talk

Reach out to us about a project, consultation, or to explore other collaboration opportunities.

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