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Homomorphic Encryption Alone Is Security, Not Privacy

I’ve seen written many times that “Privacy can be improved with techniques like differential privacy and homomorphic encryption”.  Sure, but for totally different reasons.   Homomorphic encryption is an added layer of security that allows computation against encrypted data without decrypting it.  Without homomorphic encryption, databases must first decrypt the data before they can answer...

Immuta’s ODSC West Talk

I had the opportunity to speak at ODSC West on the collision of data science and data privacy. This talk focuses on how easily data privacy can be broken in the age of big data. I then delve into strategies you should implement to manage data and the models trained from them to meet regulatory...

Immuta Predictions 2018: Risk, AI and The Future of Analytics

McKinsey estimates that tech giants invested between $20 to $30 billion in artificial intelligence in 2016, showcasing the increased adoption of AI across industries. Algorithmic-driven processes can sift through more data more effectively than any human mind could – presenting unique opportunities in different sectors to drive revolutionary results. But serious pitfalls also coincide with these new...

Differential Privacy in Immuta 2.0!

Why Differential Privacy Changes the Game – Exploring Immuta’s New Feature We’re very excited to announce that differential privacy is now a data anonymization policy available in Immuta’s 2.0 release. Why Is Differential Privacy A Game-Changer? Data anonymization techniques have been around for a long time. The most used technique is to mask values in...