Use Case — AI Security & Adoption
Your employees are already using AI. The question is whether your organisation is ready for it.
By the time an organisation decides to roll out an AI tool, it's often already in use — on personal accounts, and unofficial workarounds. AI adoption isn't something you can fully control. But you can shape it, secure it, and make sure it doesn't become your next major risk. That's where Cybervalue comes in.
Tools we commonly work with
The challenges organisations face
Where AI creates new risk
The landscape changes faster than decisions
Organisations are still evaluating an AI tool when the market has already moved. AI Policies based on technology are outdated before they're approved. Staying still means falling behind — but moving fast without a framework creates new risks.
Shadow AI is already happening
If you don't provide AI tools, employees find their own. Free or personal ChatGPT or Claude accounts, automatic translation tools. Confidential data leaves the organisation — often without anyone realising it and even worse the public models might get trained on it.
AI amplifies access — for everyone
When you connect an AI tool to your Microsoft 365 environment, it gains access to a vast amount of sensitive data. That's powerful for employees — and equally powerful for a threat actor who gets in.
Hallucinations and fabricated output
AI tools confidently produce inaccurate information. Quotes that don't exist, sources that were never published, facts that are simply wrong. Without training and guardrails, this finds its way into reports, proposals, and decisions.
AI-built applications with security gaps
Vibe coding — using AI to generate entire applications — is increasingly common. But AI-generated code isn't always secure. Misconfigured APIs, overly permissive access controls, and missing validation can leave entire systems exposed. Furthermore hosting this code requires a solid secure infrastructure.
AI embedded in third-party tools
New and existing applications are quietly adding AI capabilities — often pitched directly to business owners, bypassing IT. Where is the data stored? Who can access it? Can it be used to train external models?
The access risk nobody talks about: An AI tool connected to your Microsoft 365 environment can read emails, documents, Teams messages, and file shares. That's enormously useful. It's also exactly what a threat actor would want — a single tool that can rapidly identify and extract your most sensitive information. Proper scoping and configuration isn't optional; it's essential.
Our approach
How we guide your AI adoption
We help organisations move from uncontrolled AI usage to a secure, governed adoption — without killing productivity.
Define your AI policy — the foundation for everything
Before tools, before training, before integration — you need a clear policy that defines what's allowed, what's not, and why. A well-constructed AI policy gives your organisation a consistent framework for evaluating every AI decision that follows.
Train your people to use AI safely
Most employees using AI tools haven't been told what they can and can't share with them. We provide practical, role-relevant training that covers the real risks — what constitutes confidential information, how to spot and handle hallucinated output, and how to get value from AI without creating exposure.
Integrate AI tools securely into your environment
Deploying AI tools properly means more than installing them. We ensure tools are connected via single sign-on, access is appropriately scoped, data handling is configured correctly, and your existing security controls extend to cover AI usage.
Assess third-party AI applications
When a business unit adopts a new AI-enabled application, we assess these tools against your policies: where is data stored and processed, can it be used to train external models, who has access, and does it meet your information security requirements?
Review AI-generated code and applications
If your organisation is using AI to build or accelerate software development, we recoomend to review the output for security vulnerabilities — insecure APIs, excessive permissions, missing input validation, and the configurations that AI tools frequently get wrong. We also assess the defense in depth controls around hosting these applications.
Two areas that deserve special attention
The AI your organisation didn't approve
AI-enabled features are appearing in existing applications across finance, legal, HR, operations, and OT — often activated or adopted by business owners without IT involvement. Each one is a potential data governance issue, a compliance risk, and a security gap. We help you identify what's out there and bring it into your governance framework before it becomes a problem.
AI-built applications need security scrutiny too
AI can generate a working application in minutes. But working isn't the same as secure. We've seen AI-generated APIs configured so permissively that a single command could wipe an entire database. If AI is being used to build tools in your organisation — by developers or by non-technical staff — those outputs need to be reviewed before they go anywhere near production.
What you walk away with
AI is already in your organisation — the question is whether it's under control.
Let's find out where you stand.