We secure your data using industry-leading best practices and teamed up with university research institutes to ensure the validity and accuracy of our framework.
Your data is the life and blood of your organization.
We treat is as such.
We’ve built Snitch AI from the ground up with data security in mind, and implemented the following security features in our online platform.
Don’t want you data to ever leave your business?
Use our analysis engine on-premises if your organization has specific security policies.
Each user or application that has to access production data does so using a unique and individual identity that is managed by Azure AD.
For all human users, they are required to use strong passwords as well as MFA (multi-factor authentication).
For all machine users, they have separate application identities that can either be configured by MSI (preferred when supported) or a distinct ID and secret.
Snitch AI teamed up with IVADO and Polytechnique Montréal to evaluate and refine our model validation methods, ensuring the accuracy our solutions and ensuring their efficiency over time.
We’re also working with the Standards Council of Canada (SCC). Since model validation and verification must be reflected in the ISO standards that guide best development practices, the scientific validity of the methods is all the more important.
Learn everything about your model blackboxes.
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