The Security-First Approach to AI Automation: Protecting Your Business Data
Key Takeaways
- →Never store sensitive data on 3rd party servers unnecessarily.
- →Use secure, scoped API tokens instead of master keys.
- →Always prefer bi-directional encryption for data in transit.
As SMEs lean into AI, the number one fear we hear is: "Is my data safe?" It's a valid question. When you connect HubSpot to an AI agent, you're opening a door. Our job at sevtechsolutions is to make sure that door has a vault-grade lock.
1. The Principle of Least Privilege
We never use "Master Administrator" keys for automations. Instead, we create scoped API tokens that can only do exactly what is needed—nothing more. If a bot only needs to read email subjects, it shouldn't have access to your financial records.
2. Data in Transit vs. Data at Rest
We build our bridges using the same encryption standards used by global banks. Your data moves through encrypted tunnels and, most importantly, we don't store your sensitive business data. We are the bridge, not the bucket.
3. Choosing Secure Models
Not all AI models are built for privacy. We prioritize enterprise-grade deployments of OpenAI and Claude that explicitly state your data won't be used to train their public models.
Ready to automate safely? Read our guide on how to choose a secure partner.
Ready to implement these strategies?
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