Data Masking/Protection
Article 17 of the General Data Protection Regulation (GDPR) stipulates the Right to Erasure, often referred to as the Right to be Forgotten. While the regulation specifies some requirements as to what controllers must do with data requested to be “erased”, it does not expressly define what the term erasure means.
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Big Data
Finding and masking personally identifiable information (PII) in Snowflake® data warehouses works the same way in IRI FieldShield® or Voracity® installations as it does for other relational database sources.
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Big Data
Security Information and Event Monitoring (SIEM) products provide real-time analysis of log entries and alerts generated by applications and network hardware. One of those applications can be the IRI Chakra Max database firewall.
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Big Data
One of the first and most popular things that IRI Chakra Max users want to do is monitor database accesses and activities as they happen. The information displayed is helpful in assessing resource needs and security vulnerabilities.
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Big Data
One of the most important, and powerful, features of the IRI Chakra Max database firewall is its ability to audit access and activity from all types of connections.
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DAM/DAP
Learn how to set up IRI Chakra Max and get the most protection out of your DB firewall with this instructional video. Additional videos on the configuration and use of Chakra Max for database activity monitoring, audit, and protection are available from IRI on request.
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Big Data
The Internet of Things (IoT) continues to grow at an unbelievable rate, and creates tremendous benefits and opportunities for society. With it grows the demand for products and services that control, manage, and protect the massive amounts of data streaming from all those network-connected devices.
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Big Data
In the last couple of years since this article about the use of IRI CoSort as a parallel data manipulation alternative to Hadoop, IRI released the Voracity platform to process big data in either paradigm.
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Data Masking/Protection
It’s the end of 2016, and enterprise data continues to change rapidly in form, size, use, and residence. Rarely does it remain in siloed constructs anymore, limited to certain business units or untouched by the outside world.
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Big Data
Very large legacy IT vendors, or what we’ll call megavendors, provide valuable hardware, software, and services to companies worldwide. Often however, their technical approach, product roadmap, and price point will not be the best fit for your use case.
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