How AI and machine learning can help detect and fight against cyberattacks

New research conducted by the Ponemon Institute argues that IT security teams need both a new approach and powerful new tools to protect data and other high-value assets, as companies struggle to fight against sophisticated cybersecurity attacks.

For this study, conducted on behalf of Aruba, a total of 4,000 security and IT professionals across the Americas, Europe and Asia were surveyed to understand what makes security deficiencies so hard to fix, and what types of technologies and processes are required to stay a step ahead of cyber-attackers within the new threat landscape. It was revealed that by incorporating technologies like machine learning and other AI-based solutions are important for detection and warding off attacks on users and IoT devices.

The study found 25% of respondents using some form of AI-based security solution today, with another 26% having plans to deploy these types of products within the next 12 months. When asked the respondents who inside their organisation are responsible for IoT security, there were multiple responses ranging from CIO, CISO, CTO, and line-of-business leaders with no majority consensus. Only 33% of them identified CIO, with no other executive or functional group achieving response totals above 20%.

A different study, titled “Mobile and the Internet of Things: Unanimity Around Fragmentation, Surprises In Connectivity And Geography”, led by the GSM Association and InterDigital, reports that the successful deployment of the IoT will be majorly depended on cellular technologies like 5G, LTE, NB-IoT and GSM. There are six of the top seven connectivity technologies that emerged from 3GPP standards.

One third of the surveyed respondents said that by 2023, 5G would likely become the most important connectivity technology for the IoT. Moreover, nearly half of respondents believe that IoT accounts for less than 1% of their current revenues, and are expecting it to account for 20% of operator revenues by 2023. Interested in hearing industry leaders discuss subjects like this and sharing their use-cases? Attend the co-located AI & Big Data Expo, IoT Tech Expo, Blockchain Expo, and Cyber Security & Cloud Expo World Series with upcoming events in Silicon Valley, London and Amsterdam and explore the future of enterprise technology.

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