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Gaining Advantage Against Ransomware
Nathan Vega, VP, Product Strategy & Innovation
Join our VP of Product Strategy and Innovation, Nathan Vega in a discussion about gaining advantage against ransomware, understanding why it’s a growing business challenge and the two distinct impacts associated with it, how to stop negotiations, and take back control of your sensitive data.
From Bricks to Clicks: Build the Digital Bank of the Future in the Privacy Age
Alasdair Anderson, General Manager, EMEA at Protegrity and Jens Knobloch, CTO at PAYONE
Providing seamless omnichannel customer experiences, at the same time as complying with ever-evolving privacy regulations, is essential for the bank of the future. However, the digital world comes with many challenges when organisations work with sensitive data. Here are just some of the things many businesses are asking as they take the leap into digitisation: - How can financial services organisations safeguard their businesses, reputations, and customers from the constant threat of hackers, spammers and organised crime? - How can you protect your customers' data at the same time as transforming your entire way of working while you move to cloud services and agile ways of working? Join us on Wednesday 23rd June at 11am BST to learn why data protection should be built into the data itself in order to power the digital customer experience, anti-financial crime defences, and reduce cost.
Unlock the Value of Sensitive Data Faster Than Ever Before
Protegrity: Marc Straat, Exasol: Ricardo Arriaga, EOS Group: Malte Soennichsen
Data and analytics can be a game-changer for enterprises. To stay innovative and leap ahead of the competition, businesses need to tap into all kinds of data—including valuable sensitive data—to gain deeper and comprehensive business insights while empowering all users. But data-driven innovation often gets delayed because of data security and privacy concerns, limiting the value companies get out of their data. The joint solution from Exasol and Protegrity lets organizations charge forward with their data-centric initiatives by identifying and protecting sensitive data faster than ever before. Join us Tuesday, June 29, 11 a.m. ET/8 a.m. PT, for our upcoming webinar, “Unlock the Value of Sensitive Data Faster Than Ever Before,” to hear how EOS, a leading financial services provider, gains greater confidence in its data and is expanding analytics to broader use cases with the joint solution from Exasol and Protegrity.
New Privacy Technologies for Unicode and International Data Standards
Protecting the increasing use International Unicode characters is required by a growing number of Privacy Laws in many countries and general Privacy Concerns with private data. Current approaches to protect International Unicode characters will increase the size and change the data formats. This will break many applications and slow down business operations. The current approach is also randomly returning data in new and unexpected languages. New approach with significantly higher performance and a memory footprint can be customizable and fit on small IoT devices. Unicode is an information technology standard for the consistent encoding, representation, and handling of text expressed in most of the world's writing systems. Unicode can be implemented by different character encodings. The Unicode standard defines Unicode Transformation Formats (UTF) UTF-8, UTF-16, and UTF-32, and several other encodings. UTF-8, the dominant encoding on the World Wide Web (used in over 95% of websites as of 2020, and up to 100% for some languages) and on most Unix-like operating systems. We will discuss new approaches to achieve portability, security, performance, small memory footprint and language preservation for privacy protecting of Unicode data. These new approaches provides granular protection for all Unicode languages and customizable alphabets and byte length preserving protection of privacy protected characters.
The Era of Data Protection Method Choice is Finally Here
It's your data. Much of it is not sensitive, and therefore can be in the clear. But sensitivity is a spectrum, and some data is more sensitive than others. What if you could combine data protection methods, from masking to tokenization, based on its sensitivity, all within the same data model and all controlled by you? Well now you can. Tune in to our webinar on June 17th and we will showcase Protegrity's latest 8.1 innovations that will change the data protection industry forever.
Evolving International Privacy Regulations and Cross Border Data Transfer
Privacy Regulations continue to increase at an aggressive rate. Legal and regulatory risks are exploding. By 2023, Gartner predicts that 65 percent of the world’s population will have its personal data covered under modern privacy regulations, up 10 percent from 2020. As cyber-attackers continue to develop increasingly sophisticated hacking methods, it is imperative for organizations to prioritize modernizing their data privacy standards and tools. General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) are at the center of this convergence and defining covered Personally Identifiable Information (PII) and Personal Information (PI). What are typical Use Cases for cross border data transfer and protection of PII and PI? What role does technologies play in compliance? Join our talk, as we discuss: