INTERVIEW WITH ...
“ I like being at the forefront of a new category and working with technologies that only a handful of teams in the world are leveraging for commercial applications ”
Enveil ’ s ZeroReveal Machine
Learning capabilities extend the boundary of trusted compute by enabling encrypted federated learning and the secure usage of disparate , decentralised datasets for machine learning applications . Specialising in Encrypted Training and Encrypted Evaluation , ZeroReveal ML directly addresses the privacy component of AI TRiSM by overcoming potential compliance issues and expanding an organisation ’ s ability to privately and securely leverage additional data sources through the use of Privacy Enhancing Technologies ( PETs ), including secure multiparty computation and homomorphic encryption . ZeroReveal can also help mitigate security concerns associated with adversarial ML attacks .
Q . WHAT IS YOUR POINT OF DIFFERENCE AS A BUSINESS ?
» From a big picture perspective , we ’ re helping our customers overcome barriers that prevent them from most effectively leveraging data . The ability to securely and privately use the data you need allows organisations to make better , more efficient decisions across a wide-range of verticals . We enable our customers to share and collaborate between entities , jurisdictions , and other data silos in ways that are otherwise not possible because of regulatory or security restrictions .
It ’ s been really interesting to drive the formation of a new category around the use of Privacy Enhancing Technologies ( PETs ) because I think we ’ re only beginning to scratch the surface in terms of the value the technology can deliver . I would argue that not only are we solving direct customer needs , we are also helping lead a digital transformation .
Q . WHAT TECHNOLOGY ARE YOU MOST LOOKING FORWARD TO USING MORE OF ?
» The most exciting developments in my mind relate to our use of homomorphic encryption ( HE ) and secure multiparty computation ( SMPC ). Both are accelerating at an incredibly fast rate , allowing people to work across numerous datasets they otherwise couldn ’ t utilise . This means we are constantly seeing new use cases and ways to help people across multiple industries .
When I started at Enveil in 2016 , the promise of HE sounded impossible to me : imagine being able to ask a database a question and get an answer , but the database does not get to see what you ’ re asking or what the answer is . The fact that
22 August 2023