Cryptographic IP protection for AI/ML product | Cossack Labs

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Case ML & TensorFlow B2C app DEC 2020 - JUNE 2021

Cryptographic IP protection for AI/ML product


  • AI/ML

  • Media

Technology stack

  • iOS native, Android apps

  • GCP

  • Python, Go backend

  • ML / TensorFlow


  • CCPA, GDPR, local privacy regulations

  • Encryption Export Regulations


Technology requirements

IP protection system

Security that doesn't ruin UI/UX

Flexible cryptographic layer

Our approach

Security as business value

Risk analysis

Moving hand in hand with dev team


Additional relevant materials

Products and services involved

Themis, <span class="font-normal">a cross-platform crypto library</span>

Themis, a cross-platform crypto library

Read moreThemis, a cross-platform crypto library
Security advisory

Security advisory

Read moreSecurity advisory
Cryptography engineering

Cryptography engineering

Read moreCryptography engineering
Security engineering

Security engineering

Read moreSecurity engineering


The designed data security solution allowed to prevent stealing and misusing ML models (unique business IP) and lower operational costs by preventing malicious users from abusing the API and paid functionality.

Results and outcomes

Developers should not struggle with security

It's possible to build secure and usable systems without frustrating developers on each step. Introducing a data security layer is more than just deploying a docker container; it's shifting the engineering culture inside the company. Talk to us if you are looking to take your data security to the next level.

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