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✍️ How to use AI without getting your data exposed Notes from DeNet Team…
✍️ How to use AI without getting your data exposed Notes from DeNet Team Today, AI is a core driver of how companies move faster and build more efficiently. But when you’re developing security-critical infrastructure, speed can’t come at the expense of safety. These are the principles we follow when working with AI tools and agents, and the ones we share with you: 1. Be cautious with commercial AI tools Claims like “we don’t train on your data” are policies, not guarantees. Avoid sharing sensitive code or internal information with third-party AI services. 2. Prefer local AI with open-source models Running AI locally gives you full control over your data and reduces dependence on external providers. 3. Isolate AI agents by default Use containers or sandboxed environments. Agents should only access the resources required for their task. 4. Never share critical secrets There is always a non-zero risk of leakage. Passwords, seed phrases, private keys, and personal identifiers must never be exposed to any AI system - including local ones. 5. Treat any exposed key as compromised If an AI agent gains access to sensitive data, assume it is compromised and rotate it immediately. 6. Limit permissions and enforce review Avoid granting broad access. Restrict permissions to the minimum required and keep humans in the loop for review and control. 7. Back up everything AI agents can execute large-scale changes quickly. Maintain independent backups with multiple restore points, and never rely on chat history as storage. We’ve already started backing up our data with DeNet Datakeeper network. Looking ahead, we see decentralized storage becoming a critical layer for securing AI-generated data - including agent memory, prompts, outputs, and backups. This is a challenge we are solving internally today, and one we aim to solve for the broader ecosystem tomorrow.
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