Why zero trust data collaboration is not only possible with PETs, but preferable for technologically forward-thinking enterprises.
Technology can assist in providing a defensive, preemptive posture against trade financing fraud. Here’s how.
Information sharing under 314(b) must be based on privacy first. In this blog, we’ll explore why, and how PETs can help.
What is Homomorphic encryption? How it works & the difference between partially, leveled & fully homomorphic encryption (FHE).
The history of sanctions, and how technological advancements like PETs can enable institutions to simplify implementation of sanctions.
Trans-Atlantic data transfer pact – how privacy enhancing technologies allow sharing encrypted insights, instead of personal data.
Popular streaming TV series like Inventing Anna not only entertain – they educate on what we can do to fight financial fraud.
PETs, or privacy enhancing technologies, include any technology that allows sensitive data to be computed on, without revealing the underlying data. Here are 6 essential ones to understand.
Multiple Privacy Enhancing Technologies work together to solve specific business problems that can’t be fully solved by any one technology.
If banks could share their indicators of fraud and other data drawn from their customer account and device information rather than relying solely on their own data – without revealing identifying customer and device attributes – any apprehensions of inter-bank data sharing would quickly disappear.
Answering questions about the exploration of Privacy-Enhancing Technologies (PETs) that can support financial intelligence sharing and help institutions reconcile AML obligations with privacy compliance.
An explanation of three different information sharing implementations across the financial crime lifecycle: Customer Due Diligence, Transaction Monitoring, and Fraud and Cybercrime Investigations.
To ensure a truly comprehensive and effective approach to managing risk, it’s time to take the enterprise-wide approach one step further and transform it into industry-wide collaboration, enabling banks to investigate suspicious activity not only within their own walls, but also across them.
Momentum is increasing for information sharing among financial institutions – but first, they must overcome some critical technical challenges.
For some time, financial regulators and experts have been pointing to the need for financial institutions to share information to combat global criminal networks more successfully. Secure data collaboration is key for solving this conflict.
An advanced the discussion of privacy around Artificial Intelligence and Machine Learning.
At this age of Big Data, AI and digital distrust, use cases of HE are almost endless. Establishing an industry standard is the next step towards a privacy-enhanced future.
Encrypted computing technologies, such as homomorphic encryption, can protect against exploits that leverage the Spectre and Meltdown bugs.