AI/ML systems security
AI/ML is essential for modern businesses. It includes analysing customer behaviour and using data processing methods to deliver new value to customers. Novel technologies bring novel threats or exacerbate existing ones, and since they’re data-related and math-heavy, we’re often asked by our customers to help tackle them.
We design and build cryptographic solutions for AI/ML-driven businesses, including ML model security, DRM-like schemes and protecting ML models against reverse engineering attacks.
Typical challenges for AI/ML security
Hard to balance
Protecting ML models
Customer privacy rights
Data security concerns
ML model security
// Relevant products
A CROSS PLATFORM CRYPTO LIBRARY
To be announced
// Custom design and implementation
DRM-like ML-models protection
Differential privacy systems
Security layers for complex use cases
Protection against statistical attacks
Product security strategy
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How we make a difference
Vast experience and expertise
Relevant experience in ML
Built to last
For innovators, by innovators
We've started Cossack Labs to develop new tools and methods for protecting the data and enabling novel solutions to emerging problems — so that at the edge of your innovation, you’ve already got fitting tools handy.
There are many ways we can help: with our products, bespoke solutions, and engineering services. Leave your contact information to connect with our team:
React Native libraries: Security considerations
How to select a secure React Native library for your app. Sort out improper platform usage, easy to misuse API, deprecated and abandoned libraries.
Implementing End-to-End encryption in Bear App
Helping Bear app implement note encryption for their vast existing user base. Balancing usability, security, and mobile platforms' restrictions.
Audit logs security: cryptographically signed tamper-proof logs
Why crypto signed audit logs are essential for security software and how we’ve built-in secure audit logging in Acra for defense in-depth.