Jeff Jonas blogs about his history with PbD on the 70th Anniversary of Universal Declaration of Human Rights. Jeff discusses the PbD paper he co-authored with Ann Cavoukian and how these features are built into Senzing core technology.
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Deepak Rangarao of IBM Analytics/Ecosystem reviews Senzing as our first guest blogger. He discusses how Senzing can be used to target identity fraud.
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Jeff Jonas speaks with David Becker at the International Association of Privacy Professionals (IAPP) keynote panel: ‘Privacy. Security. Risk.’ for the International Association of Privacy Professionals (IAPP) on October 18, 2018.
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John Breeden II reviews Senzing. Senzing makes connections between elements in many databases, including connections with fuzzy data and purposefully false data. Senzing reassesses previous assumptions in real time.
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Jeff Jonas blogs about how the Senzing name came to be.
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Jeff Jonas blogs about the laborious process of manually or automatically searching each individual system to locate data meeting specific criteria. He then explains how entity resolution effectively and efficiently solves these deficiencies.
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John Breeden II reviews Senzing. Senzing uncovers fraudulent activity or uncover accidental data duplication for a financial institution. Anyone with a complex data set can uncover fraud with Senzing® software.
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Carahsoft announces a strategic partnership with Senzing as master government reseller.
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Jeff Jonas blogs about how bad guys utilize "channel separation" to remain undetected. Senzing uses entity centric learning to “channel consolidate” data, even though bad guys intentionally obfuscate their identities.
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Jeff Jonas blogs about using data to figure out how to ask the right questions. With Data Finds Data behavior, your systems can automatically and in real time flag data that is connected so you can start asking the right questions.
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Kyle Wiggers of VentureBeat reviews Senzing. With seeded data from the financial industry, Senzing discovers relationships between people, objects, and metadata with a 97% success rate.
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Channel separation is a method that hackers employ to confuse security systems. Senzing detects fraud and insider threat by performing channel consolidation.
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