malicious

“AI generated content is over half of the Web traffic … Surely to 37%of malicious bots”

Last yr, greater than half of all web traffic got here from the content created by the AI ​​bot. The primary time bot's traffic has surpassed human traffic, it is thought that the safety...

Detecting Malicious URLs Using LSTM and Google’s BERT Models

The rise of cybercrime has made fraudulent webpage detection a necessary task in ensuring that the web is protected. It is clear that these risks, equivalent to the theft of personal information, malware, and...

Research Suggests LLMs Willing to Assist in Malicious ‘Vibe Coding’

Over the past few years, Large language models (LLMs) have drawn scrutiny for his or her potential misuse in offensive cybersecurity, particularly in generating software exploits.The recent trend towards ‘vibe coding' (the casual use...

Disrupting malicious uses of AI by state-affiliated threat actors

Based on collaboration and knowledge sharing with Microsoft, we disrupted five state-affiliated malicious actors: two China-affiliated threat actors often known as Charcoal Typhoon and Salmon Typhoon; the Iran-affiliated threat actor often known as Crimson...

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