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The Evolving Landscape of Cybersecurity: Trends and Challenges

CyberSecurity Insiders

Artificial Intelligence (AI) and Machine Learning (ML) in Cybersecurity: AI and ML are transforming the way we approach cybersecurity. Internet of Things (IoT) Security: The proliferation of IoT devices has opened a new frontier for cybersecurity concerns.

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Exploring Cybersecurity Research Topics for Master’s Degree Studies

CyberSecurity Insiders

IoT Security: Examine the vulnerabilities and challenges associated with securing the Internet of Things (IoT) devices and networks. Explore topics such as authentication protocols, encryption mechanisms, and anomaly detection techniques to enhance the security and privacy of IoT ecosystems.

Insiders

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SHARED INTEL Q&A: My thoughts and opinions about cyber threats — as discussed with OneRep

The Last Watchdog

We’ve arrived at a critical juncture: to enable the full potential of the Internet of Everything, attack surface expansion must be slowed and ultimately reversed. Kapczynski Erin: Could you share your thoughts on the role of artificial intelligence, machine learning and the growth of IoT devices in both cyber defense and cyberattacks?

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Fintech Cybersecurity Trends in 2021

Security Boulevard

Financial institutions like MasterCard are adopting artificial intelligence and machine learning processes to predict and prevent fraud. Because an AI can better analyze massive amounts of data to catch unauthorized usage faster, these tools can help secure fintech as 5G connectivity comes to the Internet of Things (IoT). .

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Advancing Trust in a Digital World

Thales Cloud Protection & Licensing

As new technologies, like artificial intelligence, cloud computing, blockchain, and the Internet of Things (IoT), become increasingly prominent in the workplace, digital trust practitioners will need to adapt responsibly and safely. Advance Trust with Awareness and Culture.

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Cybersecurity Predictions for 2023: My Reflections

Jane Frankland

However, as traditional company perimeters are replaced by an array of network infrastructures which include cloud technologies, remote machines and their users (employees and third parties), edge computing and Internet-of-Things (IoT) devices, threats will rise due to a larger attack surface. Sustainability. Automated technologies.

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Smart Government and IoT: The Importance of Integration

McAfee

To another, it’s defined by the latest machine learning (ML) algorithms and artificial intelligence (AI)-guided decision-making features in the newest release of a tool. It is forecasted that the number of connected IoT devices will surpass 25 billion by 2021. Threat Detection. We are better together.

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