Security at Point.

We recognize that email contains some of the most sensitive data for you. At Point, we treat security extremely seriously. Here you can find our enterprise-grade security protection that we're using to look after our customers' data.

If you would like to see our Security Whitepaper, please email us at privacy@pointapi.com and we will get back to you as quickly as possible.

What does Point do?

Point predicts what you're most likely to say in a message and helps you write it immediately in your own voice. We use machine learning and natural language processing algorithms to analyze language patterns. Based on our trained models, we can look at an incoming message and predict your most likely response.

Why does Point need to collect my personal information?

In order to predict your likely responses, our algorithms have to parse through some of your message history in order to understand your speech patterns. During this process, we also pick up on answers unique to you (for instance, your job description) and thus can help you answer any question you have been asked before.

What does Point do to make sure my data is secure?

When you sign up for our services, we strip away all of the sensitive information in your messages (for example, Social Security Numbers, attachments, credit card numbers and more).
After this process is over, we encrypt the data using our own encryption process and key, which renders it illegible to anyone outside of our research team.
We store the sanitized and encrypted data on our Amazon Web Services (AWS) servers. We then use AWS's encryption process and key to encrypt the data once more.

Subprocessors

Point has authorized the subprocessors on this list to process personal data in order to provide our customers with the best possible user experience. Before we start using any subprocessors, we conduct due dilligence to ensure their security practices and privacy policy are up to our standards.

Underneath you can find a list of all the subprocessors Point is using: