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According to new research from SlashNext, Platforms like Hoax Tech and JS Click Cloaker are offering “cloaking-as-a-service” ...
Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior performance compared to conventional non-machine learning approaches when ...
A massive data leak stemming from a cyber attack on a third-party subcontractor has affected Swiss banks UBS and Pictet, as well as over a dozen other multinational companies, potentially including ...
The Coinbase data breach was a particularly brazen cybersecurity incident, as the hackers demanded tens of millions of dollars in ransom in exchange for not leaking the stolen data.
In the very near future, victory will belong to the savvy blackhat hacker who uses AI to generate code at scale.
Machine learning-powered security systems should be used as a tool, not as a replacement for security teams for web apps.
NIST’s report outlines taxonomy and mitigations for cyber attacks on Artificial Intelligence AI systems, assisting developers in securing applications against advers ...
Agents could make it easier and cheaper for criminals to hack systems at scale. We need to be ready.
Conclusion Machine learning is driving a transformational shift in endpoint security by enabling predictive threat detection. Leveraging data-driven insights, monitoring endpoint behaviors, and ...
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