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Mitigating the cybersecurity risks of on-demand access to ubiquitous data requires four cybersecurity capabilities: zero-trust capabilities, behavioural analytics, elastic log monitoring, and homomorphic encryption.
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To counter more sophisticated attacks driven by AI and other advanced capabilities, organizations should take a risk-based approach to automation and automatic responses to attacks.
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Behavioural analytics can monitor attributes such as access requests or the health of devices and establish a baseline to identify anomalous intentional or unintentional user behaviour or device activity.
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Mobile platforms, remote work, and other shifts increasingly hinge on high-speed access to large data sets, increasing the likelihood of a breach
To execute these business models, companies need new technology platforms, including data lakes that can aggregate information
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Cyber risk management has not kept pace with the proliferation of digital and analytics transformations, and many companies are not sure how to identify and manage digital risks.
At the same time, companies face stiffer compliance requirements-a result of growing privacy concerns and high-...
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Shifts the focus of cyberdefense away from the static perimeters around physical networks and toward users, assets, and resources, thus mitigating the risk from decentralized data.
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Elastic log monitoring for large data sets allows companies to pull log data from anywhere in the organization into a single location and then to search, analyze, and visualize the data in real-time.
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Homomorphic encryption allows users to work with encrypted data without first decrypting to give third parties and internal collaborators safer access to larger data sets and meet more stringent data privacy requirements
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