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DATA SEGREGATION: DON'T PUT ALL YOUR EGGS IN ONE BASKET
Why Relying on a Single Supplier for Your Facial Recognition Data Is a Risk You Can't Afford
Why Relying on a Single Supplier for Your Facial Recognition Data Is a Risk You Can't Afford
Many facial recognition suppliers run a shared database model. Your data sits alongside other companies' data on the same infrastructure, managed by the same supplier. If that supplier gets breached, goes bust, or changes their terms, your data goes with it. This is the single-basket problem. You're putting your most sensitive security data into someone else's hands, betting everything on their infrastructure, their security practices, and their continued existence as a business. When things go wrong—and they eventually do—you have little control over what happens next.
In simple terms: your data is yours and only yours. It sits in its own space, controlled by you, not mixed with anyone else's. You decide who accesses it, how long it's kept, and when it's deleted. No other company can see it, search it, or benefit from it. Data segregation means clear boundaries. Your biometric information stays isolated from everyone else's. This isn't just a technical feature—it's a matter of control and accountability. When your data is segregated, you know exactly where it is and who can touch it.
Shared databases are cheaper to run. The supplier maintains one big system and everyone pays into it. It's commercially efficient for the supplier but risky for you. Some suppliers also use shared data to train their algorithms—meaning your biometric data could be improving a competitor's security system without your knowledge. Data pooling lets suppliers build better AI models at your expense. You're not just storing data; you're giving away a competitive advantage. Suppliers love this model because it makes their business model work. What's good for them is rarely good for you.
Under UK GDPR, you're the data controller for biometric data you collect. If your supplier's shared database means your data is processed alongside or accessible by others, you may have a compliance problem. Data segregation makes your GDPR position much cleaner. Clear data boundaries, clear retention, clear deletion. When a regulator asks you where your data lives and who can access it, you need a simple, defensible answer. Segregated data lets you give one. With shared databases, you're relying on your supplier's compliance practices. If they slip up, you slip up with them.
If your sole supplier goes under, gets acquired, or has a major breach, what happens to your data? With a segregated model, you retain control. With a shared model, you're at the mercy of whoever picks up the pieces. Use this analogy: if your bank merged with another bank without telling you, and suddenly strangers had access to your account—you'd be furious. That's what happens with shared databases. Ownership becomes unclear. Accountability disappears. Your data becomes an asset in someone else's deal. Segregated data means you own the keys. When a supplier relationship ends, your data goes with you or gets deleted on your terms.
FaiceTech uses an independent database model by design. Each customer's data is completely segregated. You own it, you control it, and when you leave, it's deleted. No shared pools, no data mixing, no surprises. This isn't a nice-to-have feature—it's core to how we operate. We believe your data should never be treated as a commodity. For more detail on how we handle data ownership and compliance, visit our Compliance page.
Data segregation isn't just a technical preference—it's a business risk decision. When you choose a supplier, you're not just buying a tool. You're making a bet about the future. A bet that the supplier will stay secure, stay solvent, and stay aligned with your interests. The smarter bet is to work with suppliers who give you control. Who segregate your data. Who treat your information as your asset, not theirs.
For a deeper dive into data ownership and segregation, download our full guide "Why Your Data Must Stay Yours" from our Documentation page.