Video surveillance, remote health monitoring, consumer behavior tracking – the list is endless of decades-old capabilities for observing and capturing information about people. What is different now, in the Internet of Things era, is the sheer volume of the data and the power of assembled data to present a more detailed picture of individual behavior than ever before. When does data collection cross the line from being useful to being intrusive? How do we protect the privacy of the individual while collecting information that might be critical for our well-being?

To maintain trust in the age of the IoT, organizations must uphold ethical standards when it comes to handling data collected through or passed to the myriad of connected devices. Organizations should put business practices and software design methodologies in place to ensure the protection of data and individuals’ right to privacy. Standard practices like data governance, security architectures, and system integrity take on new significance in the IoT and must reflect the complexity of this new context.

Data Security Architecture – IoT architectures need to be designed with the ethical management of data in mind from the outset. Because so many of the data safeguards overlap with system security, it is best to architect these in tandem. Using business rules and complex event processing technologies, edge analytics, and data caching can enable an organization to limit, restrict, anonymize, retain, or purge data according to the privacy risks as weighed against the value of that data.

Medieval Wars 2 is a turn based strategy casual game based on hex maps, sequel of Medieval Wars.
Based on an advanced battle system you can test your strategy skills. You can manage your captain's equipment selecting weapons and armor that will affect your stats.

In-brief: Segmentation is a well established approach to securing your data and IT assets. But have you assessed your approach to segmentation in light of new technologies and business models? Scott Harrell of Cisco’s Security Business Group, writes with some pointers on adapting segmentation to the demands of the Internet of Things. 

[Interested in securing DevOps? Read CyberArk's report to learn more about the state of privileged account security in DevOps processes.]

Growth in connectivity, digitization and the Internet of Everything (IoE) is creating a Digital Economy and new business models that are fueling new opportunities through greater speed, efficiency and agility. As meaningful connections continue to multiply, security practitioners are under serious pressure to develop policies that allow their organizations to participate in a secure Digital Economy.

Video surveillance, remote health monitoring, consumer behavior tracking – the list is endless of decades-old capabilities for observing and capturing information about people. What is different now, in the Internet of Things era, is the sheer volume of the data and the power of assembled data to present a more detailed picture of individual behavior than ever before. When does data collection cross the line from being useful to being intrusive? How do we protect the privacy of the individual while collecting information that might be critical for our well-being?

To maintain trust in the age of the IoT, organizations must uphold ethical standards when it comes to handling data collected through or passed to the myriad of connected devices. Organizations should put business practices and software design methodologies in place to ensure the protection of data and individuals’ right to privacy. Standard practices like data governance, security architectures, and system integrity take on new significance in the IoT and must reflect the complexity of this new context.

Data Security Architecture – IoT architectures need to be designed with the ethical management of data in mind from the outset. Because so many of the data safeguards overlap with system security, it is best to architect these in tandem. Using business rules and complex event processing technologies, edge analytics, and data caching can enable an organization to limit, restrict, anonymize, retain, or purge data according to the privacy risks as weighed against the value of that data.

Video surveillance, remote health monitoring, consumer behavior tracking – the list is endless of decades-old capabilities for observing and capturing information about people. What is different now, in the Internet of Things era, is the sheer volume of the data and the power of assembled data to present a more detailed picture of individual behavior than ever before. When does data collection cross the line from being useful to being intrusive? How do we protect the privacy of the individual while collecting information that might be critical for our well-being?

To maintain trust in the age of the IoT, organizations must uphold ethical standards when it comes to handling data collected through or passed to the myriad of connected devices. Organizations should put business practices and software design methodologies in place to ensure the protection of data and individuals’ right to privacy. Standard practices like data governance, security architectures, and system integrity take on new significance in the IoT and must reflect the complexity of this new context.

Data Security Architecture – IoT architectures need to be designed with the ethical management of data in mind from the outset. Because so many of the data safeguards overlap with system security, it is best to architect these in tandem. Using business rules and complex event processing technologies, edge analytics, and data caching can enable an organization to limit, restrict, anonymize, retain, or purge data according to the privacy risks as weighed against the value of that data.

Medieval Wars 2 is a turn based strategy casual game based on hex maps, sequel of Medieval Wars.
Based on an advanced battle system you can test your strategy skills. You can manage your captain's equipment selecting weapons and armor that will affect your stats.

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Posted by 2018 article

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