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ASIN ‏ : ‎ B07D5HVX7T
Publisher ‏ : ‎ Cisco Press; 1st edition (June 4, 2018)
Publication date ‏ : ‎ June 4, 2018
Language ‏ : ‎ English
File size ‏ : ‎ 64871 KB
Simultaneous device usage ‏ : ‎ Up to 5 simultaneous devices, per publisher limits
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 1002 pages

In today’s interconnected world, the Internet of Things (IoT) has revolutionized the way we live and work. From smart homes to industrial automation, IoT devices are everywhere, collecting and exchanging vast amounts of data. However, with this increased connectivity comes a heightened risk of cyber threats.

To ensure the security and integrity of IoT ecosystems, it is crucial to have robust security measures in place. Orchestrating and automating security for the Internet of Things is essential to protect sensitive data and prevent unauthorized access.

By delivering advanced security capabilities from the edge to the cloud, organizations can effectively safeguard their IoT devices and networks. This includes implementing encryption protocols, access controls, authentication mechanisms, and intrusion detection systems.

Automating security processes can help to quickly identify and respond to security incidents in real-time, minimizing the impact of potential breaches. By leveraging artificial intelligence and machine learning algorithms, organizations can proactively detect and mitigate threats before they escalate.

Overall, orchestrating and automating security for the Internet of Things is crucial to ensure the safety and privacy of IoT devices and the data they collect. By implementing advanced security measures from the edge to the cloud, organizations can protect against cyber threats and maintain the integrity of their IoT ecosystems.
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