Duality Technologies, a World Economic Forum Technology Pioneer, has developed Privacy Enhancing Technologies (PETs) to help corporates with the challenge of sharing their data while at the same time securing it.

The AI and Data category of Fast Company’s World Changing Ideas Awards honors projects that harness the power of data, machine learning, or artificial intelligence to better understand the world and empower change. Duality Technologies is a finalist in this category for 2023.

The latest digital transformation story to unfold in the healthcare industry is one that allows privacy-enhanced data collaboration capabilities between healthcare organizations, data scientists and cryptographers.

Legal roadblocks and questions around data privacy and information security are preventing the cross-border expansion of national data pooling initiatives designed to help improve anti-money laundering (AML) controls, according to financial crime experts.

To gain the upper hand in the fight against financial crime, banks and other financial institutions need to share data, but concerns around privacy, confidentiality and regulatory compliance often prevent them from doing so. Alon Kaufman, chief executive officer and co-founder at Duality Technologies, looks at how firms are adopting a privacy-first approach to overcome these barriers and enable greater collaboration.

If the approaches stand up to scrutiny, companies may soon be able to encrypt most databases in a way that allows using data without needing to decrypt to plaintext.

Yesterday it was International Women’s Day. It was billed as ‘the chance’ to celebrate and uplift women. But for us, the message should be the same every day, which is why we’ve chosen today to put the spotlight on how we can ensure greater representation of women and other diverse groups in financial and technology roles.

Duality Technologies is a leader in the homomorphic encryption arena, bringing products to market that enable organizations to combine and analyze data sets collaboratively without revealing those data to other parties.

The degree of danger that may be introduced when adversaries start to use AI as an effective weapon of attack rather than a tool for beneficial improvement is still unknown.