AI-based security detection automates the analysis of large, complex data sets to uncover threats in real time. These systems not only flag potential risks but can also trigger automated response ...
Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the asteroid Bennu ...
As businesses continue their digital transformation journeys, they are exposed to an ever-expanding attack surface. With the proliferation of cloud environments, remote work, and the increasing use of ...
That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...
As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...
The national spy watchdog is reviewing the use and governance of artificial intelligence by Canada’s security agencies.
Why is Using AI to Protect Data from Cybercriminals Crucial? - IT News Africa | Business Technology, Telecoms and Startup ...
A new forensic framework designed specifically for the Internet of Things (IoT) is discussed in the International Journal of ...
The cybersecurity landscape is rapidly changing, with hackers increasingly utilising Artificial Intelligence (AI) to carry ...
Attackers are bypassing the very tools designed to prevent them from gaining access to the business, says Richard Frost of ...