Here’s the data on the state-of-data in June 2021, from current attitudes towards self-driving cars to the dramatic reduction in the price of lithium-ion batteries supporting the creation and consumption of data everywhere, including work from home, to the data lost in cybersecurity attacks...72 percent of U.S. executives cite the need to speed up their ability to use secure data for AI and advanced analytics initiatives as their organization’s top data-security priorities for the next six-to-12 months, followed by ensuring compliance with data privacy regulations (55%) [Protegrity].

Protegrity announced it has partnered with b.telligent, a leading consultancy firm for data and analytics, to expand Protegrity’s partner go-to-market (GTM) operations within the Germany, Austria, and Switzerland (DACH) region – the largest economy of the European continent. With the Protegrity Data Protection Platform, b.telligent can now offer its customers greater choice to protect data according to their unique business needs, control over how data is protected enterprise wide, and confidence that their data will remain secure, even if a breach occurs.

71 percent of enterprise executives reported their organization’s data and AI timelines have accelerated since the onset of the COVID-19 pandemic, with one in four reporting their data initiatives have significantly accelerated, according to Protegrity. Findings from more than 600 executives in the U.S. – including 382 security and privacy executives and 228 data and AI executives – reveal key insights on the impact of data security investments on AI and advanced analytics initiatives.

This year, many organizations will attempt to enhance their ability to use secure data for AI and advanced analytics initiatives. As a result, they will be looking to invest heavily in data security, with cloud data security (67 percent), employee training (54 percent) and data security for SaaS environments (50 percent) the main priorities. These are the conclusions of the latest report from data security company Protegrity, which polled more than 600 executives in the US and found that more than 90% of businesses plan to increase data security spend this year.

Findings from more than 600 executives in the U.S. – including 382 security and privacy executives and 228 data and AI executives – reveal key insights on the impact of data-security investments on AI and advanced analytics initiatives. Comparison between the two executive audiences found that data and AI executives were more likely to cite the need to accelerate their ability to use secure data for AI (78 percent) compared to privacy and security executives (69 percent).

Protegrity protects kinetic data by making it worthless in the wrong hands. The rise of ransomware attacks has heightened companies’ concerns about cybersecurity and paralyzed organizations from freely using their kinetic data to gain insights.

Together, Exasol and Protegrity enable organisations to run analytics against sensitive and private data securely and at scale. The new joint solution leverages the native Protegrity connector and the in-memory, MPP engine from Exasol, providing customers with advanced tokenization technology to identify, protect and analyse sensitive data faster than ever before. Offering flexible deployment options, this powerful new solution ensures that sensitive data is always protected no matter where it resides – on-premises, in the cloud or in a hybrid infrastructure.

Exasol today announced a strategic partnership with Protegrity. Together, Exasol and Protegrity enable organizations to run analytics against sensitive and private data securely and at scale. The new joint solution leverages the native Protegrity connector and the in-memory, MPP engine from Exasol, providing customers with advanced tokenization technology to identify, protect and analyze sensitive data faster than ever before.

Protegrity announced support for Snowpark, a new developer experience from Snowflake. With support for Snowpark and UDFs, Protegrity is expanding its data-privacy capabilities available within the Snowflake platform to deliver data-anonymization technology to mutual customers. Snowflake and Protegrity enable data engineers, data scientists, and developers to take advantage of Snowflake’s platform capabilities while reducing data-privacy risk for AI and machine-learning training and analysis, as well as data sharing with third parties.

Protegrity protects kinetic data by making it worthless in the wrong hands. The rise of ransomware attacks has heightened companies’ concerns about cybersecurity and paralyzed organizations from freely using their kinetic data to gain insights.