Until now, no data protection technique could balance the conflicts between data utility and data protection when consent and contract no longer work to enable the lawful repurposing of data. For example, anonymisation, differential privacy, tokenisation and encryption:
Thankfully, new state-of-the-art techniques like GDPR Pseudonymisation and Data Protection by Design and by Default and CCPA De-Identification support distributed processing of protected versions of data – producing results as accurate as processing unprotected cleartext versions of personal data – to enable ethical & lawful data analytics, AI, ML, sharing and combining.
Anonos technology transforms cleansed source data into privacy-respectful data assets called Variant Twins® that embed digital controls at the data element level to satisfy statutory and contractual requirements for lawful data use.
Learn what other global companies have proven, that they can retain 100% of the accuracy of analytical value in datasets protected using Anonos Variant Twins for purposes of:
Patented dynamic Pseudonymisation, Data Protection by Design and Default and De-Identification capabilities of Anonos technology enforce risk-based digital Variant Twin controls to support lawful repurposing of protected data for data analytics, AI, ML, sharing and combining.
Preserve the full utility of your data
Deliver the resistance to re-identification of “anonymous” data
Retain the lawful controlled re-linkability of pseudonymized data
Fully auditable with the right technical controls in place to ensure privacy protection
CEO & General Counsel
Co-Founder & President
Anonos co-founders previously revolutionized algorithmic trading in global financial markets by enabling real-time dynamic lawful controls that fueled innovative compliant trading. Anonos builds upon their experience at the intersection of law and technology to deliver new state-of-the-art dynamic controls that balance the conflicts between data utility and protection to enable innovative data processing.