New Android malware uses AI to click on hidden browser ads
A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. [...]
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A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. [...]
How to avoid your business being felled by an AI-powered ransomware attack that costs less than a laptop. Passwork KNP Logistics Group, a British transport company from Northamptonshire that’s been around longer than the mass-produced lightbulb, collapsed after a devastating security breach that left more than 700 employees jobless. The 158-year-old firm fell victim to a ransomware attack.…
A novel attack exploited machine learning models on PyPI, using zipped Pickle files to deliver infostealer malware
Politecnico di Milano's Zanero on Evolving Malware Detection and Hardware SecurityMachine learning excels at identifying repetitive patterns and anomalies, but human insight remains vital for understanding the broader context of cyberattacks - especially in cyber-physical ecosystems, said Stefano Zanero, professor at Politecnico di Milano.
Companies are attaching the term "AI" to everything these days, but in cybersecurity, machine learning is more than hype.
Threat actors can weaponize code within AI technology to gain initial network access, move laterally, deploy malware, steal data, or even poison an organization's supply chain.
Day 2 of Engima 2022 explored how organizations and security vendors can improve malware detection