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Streamlining Data Collection for Investigations and eDiscovery

OpenText Information Management

Additionally, the risks associated with protecting that data have never been higher, due to strengthened data privacy laws worldwide and increasing cyberattacks on businesses everywhere.

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Data protection strategy: Key components and best practices

IBM Big Data Hub

Its principles are the same as those of data protection—to protect data and support data availability. Data availability —ensuring critical data is available for business operations even during a data breach, malware or ransomware attack. Encryption is critical to data security.

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Driving Conversations Around Careers In Telematics

Information Governance Perspectives

Wireless telematics devices and “black box” technologies collect and transmit data on vehicle use, maintenance requirements, and automotive servicing. John Danenberger, CPCU, is Corporate Counsel at State Farm Insurance and specializes in addressing emerging issues around telematics. What’s it like to work in this field?

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Developments in Health Privacy and Cybersecurity Policy and Regulation: OCR Issues Cybersecurity Warnings and New Health Data Legislation Is Introduced

Data Matters

Department of Health and Human Service’s Office for Civil Rights (“OCR”) issued industry guidance for Health Insurance Portability and Accountability Act (“HIPAA”) regulated entities to take preventative steps to protect against some of the more common, and often successful, cyber-attack techniques. On March 17, 2022, the U.S.

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Data privacy examples

IBM Big Data Hub

These access controls reduce the chances that the data is used for unauthorized or illegal purposes. Learn how organizations can use IBM Guardium® Data Protection software to monitor data wherever it is and enforce security policies in near real time. Retention policies should also be limited.

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Knock, Knock; Who’s There? – IoT Device Identification & Data Integrity Is No Joke

Thales Cloud Protection & Licensing

But making the IoT work requires trust in the devices and the data they collect. In this blog, and in one by my colleague Julie Lassabliere from Safelayer Secure Communications , we explore the need for trusted device identification and data integrity in the IoT.

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The most valuable AI use cases for business

IBM Big Data Hub

Smart home devices such as the iRobot Roomba can navigate a home’s interior using computer vision and use data stored in memory to understand its progress. Clean up with predictive maintenance AI can be used for predictive maintenance by analyzing data directly from machinery to identify problems and flag required maintenance.