3 min read
Healthcare records: The top target for identity theft
Healthcare records are a prime target for identity thieves, fetching higher prices on the black market than any other type of personal data. Beyond...
3 min read
Healthcare records are a prime target for identity thieves, fetching higher prices on the black market than any other type of personal data. Beyond...
2 min read
Today's healthcare environment is predominantly digital and can hold many cyber threats, making safeguarding patient information and complying with...
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The data lifecycle refers to the series of stages that data goes through from its creation to its eventual deletion.
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When medical histories, prescriptions, and treatment plans are stored in a tamper-proof manner, clinicians can make informed decisions based on...
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The definition of “availability” under HIPAA relates to the secure storage and transmission of data. It’s the process of making data accessible to...
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The National Institute of Standards and Technology defines the Triple Data Encryption Standard (3DES) as a technique and algorithm used to secure...
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Supply chain transparency is the practice of providing clear, accessible information about the different stages involved in the production and...
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Making data unreadable, especially to unauthorized users, is required to protect sensitive information from breaches and misuse. This term refers to...
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SOC 2 availability demonstrates a healthcare organization’s commitment to providing uninterrupted and reliable services to their patients. It helps...
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Often referred to as crapware, bloatware includes unnecessary pre-installed software that can limit user choice, slow down device performance, and...
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A Journal of Cybersecurity and Privacy states, “Ethics in data management can be defined as the principles and practices that guide the responsible...
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An insider threat is a security risk that comes from within an organization. It involves individuals who have access to an organization's systems,...
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As the popularity of AI technology grows, the computational power required to train and run AI models has surged. The result is an increased pressure...