Three Things You Can Do Right Now to Keep Your Data Private
Three Things You Can Do Right Now to Keep Your Data Private
By Aaron Rose · Tech Reader Magazine · July 8, 2026
Your Data Should Be Yours and Yours Alone
Palantir's core argument is this: every time you use an AI tool, data is created. Your prompts, your outputs, the patterns of how you work. Where that data goes — and who controls it — determines whether your knowledge stays yours or quietly becomes someone else's asset. The paper calls this the sovereignty question, and it lays out fifteen steps across four layers of technology to address it. We are not going to walk through all fifteen. We are going to give you three.
Here they are, numbered, plain, and actionable.
1. Your data probably isn't private now. Make it private as soon as you can.
Every prompt you send to an AI tool is data. Every output it returns is data. The telemetry from that interaction — who asked, when, how often, about what — is data. Under a standard consumer or free-tier AI agreement, some or all of that data may be retained by the provider, used to improve their models, or accessible to their employees.
Palantir calls the remedy Zero Data Retention, or ZDR — a specific agreement that nothing is stored beyond the moment required to generate a response. Enterprise users can negotiate this directly with providers. Individual users have fewer options today, but the landscape is changing. The first practical step, available to anyone right now, is to be deliberate: use AI tools through enterprise or paid tiers where data retention policies are explicit, read those policies, and avoid sending your most sensitive work through any tool where you do not understand where the data goes.
You may not be able to make all of your data fully private today. But you can start making better choices about which data you expose and which you protect. That is where it begins.
2. You are probably locked into frontier AI right now. That's okay. But local AI is coming for you — in a good way.
Most people using AI today are using frontier models — Claude, ChatGPT, Gemini, Copilot. These are powerful, capable, and hosted entirely by the companies that built them. That means your data lives in their infrastructure, subject to their policies, dependent on their continued availability and goodwill. Like me, you are probably in this situation. Most people are.
Palantir's paper makes a strong case for what it calls model liquidity — the ability to move between providers without losing your workflows or your data. But it also points toward something more fundamental: the rise of local AI. Open-weight models that run on hardware you control, with no data leaving your environment, are improving rapidly. They are not yet at the capability level of the frontier models, but that gap is narrowing with every new release.
You do not need to switch today. But you should know that in the near future, you can and should choose local AI for some or all of your needs. That choice — running AI on your own hardware or within your own controlled environment — is the one that ensures your data stays yours. It will be available to you. Plan for it.
3. Set an intent to keep your data as private as you can, as soon as you can.
Palantir's paper is fifteen steps long because the full solution is genuinely complex. But complexity is not a reason to do nothing. The most important move available to any individual or organization right now is not technical — it is intentional. Decide that your data matters. Decide that you are going to take it seriously as an asset worth protecting.
That intent translates into concrete decisions over time: which tools you use, which agreements you read, which workflows you keep internal, and which AI interactions you treat as genuinely sensitive. You do not need a security team or an enterprise contract to start making those decisions more carefully. You just need to decide that it matters.
Set that intent now. The decisions will follow.
You may not be able to keep your data as private as you want right now. But you will be. The tools are coming, the costs are falling, and the choice will be yours to make.
The Palantir White Paper
The full Palantir framework is worth reading if you operate at an enterprise or government level — it is a serious document and it covers ground that goes well beyond these three points. But for most people, these three are enough to start. Know that your data is moving. Know that local AI is on its way. And decide right now that your data is worth protecting. That is a good place to start.
Tech Reader Magazine
TechReaderMagazine.com