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Engineer.ai take security very seriously — both for ourselves and our customers. To ensure that we are safe from threats, we use a variety of tools and processes to secure our infrastructure at multiple levels.
For example, all of our persistent databases use encryption at rest and our ephemeral databases use encryption in transit. Our production environments all use a combination of jump/bastion hosts and private subnets to ensure they are not exposed to the public internet.
Engineer.ai also follow a regular update schedule for our server packages in order to keep them up to date on security patches. Builder.ai also maintains GDPR strict compliance for all of its platforms and performs routine recurring compliance audits.
There’s a lot more that happens behind the scenes, but to be clear, our AI currently is focused only on democratizing software development. While the AI does not contribute to data protection and privacy, we do have robust practices in place to create a secure environment for our customers.
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