Some organizations are against the use of external vendor hardware in their systems, while others own hardware but run it using vendor software. A large number of them, however, demand that all of these capabilities stay ‘on the cloud’ as many of them migrate to using cloud-based applications and related services.
Innovative start-ups and established players are facing these particularly complex security issues as created as the number of connected devices grows. Also playing into this is artificial intelligence and the way it’s being used to manipulate data as it’s generated and stored. In the coming decades, there will be even more segments in IoT, each with devices useable with it, with its own issues, and solutions to fix them. For now, these are the most common security concerns related to bigger IoT systems.
• Encryption of data as its being transported or moved
• Problems created by botnets
• Malware attack on data saved to cloud-based systems
• Web and cloud-based interfaces that are not secure
In this sense, millions of threats are taking place on a daily basis, so the next generation of cybersecurity solutions will involve the use of AI. This will implement automation or autonomous machine decision making by leveraging the ability of a single machine to assess millions of data points in as little time as possible. These advanced solutions might even categorize events using adaptive classification methods, helping to identify threats of any scale before they even happen.
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