Phishing still puts businesses at risk even after it was first identified as a persistent cybersecurity problem and has gained global attention. The strategy entails using phony emails, texts, and websites that look real to fool people into thinking they are safe and compromise private data, including passwords.
Cybersecurity has been greatly impacted by the advent of large language models (LLMs) in the field of artificial intelligence (AI). Advanced algorithms known as LLMs enable AI to understand and produce language that is similar to that of humans.
When specifically trained on phishing data, LLMs exhibit an impressive ability to conduct thorough analyses of content found in emails, messages, URLs and various other vectors commonly employed in phishing attacks.
Phishing attempts can be easily spotted by people who are aware of their distinct patterns and characteristics. Furthermore, machine learning models can effectively analyze the behavior of phishing victims to gain a deeper understanding of the tactics that make people vulnerable to these attacks.
When compared to conventional threat detection systems, cybersecurity tools that use AI and LLM technologies show faster threat comprehension, fewer false positives, and better pattern identification.
LLM Against Phishing in Action
Bolster AI, an industry-leading AI-powered security platform, sets new standards in the automatic detection and swift takedown of phishing sites, scam content, and copyright infringements. Bolster excels in swiftly detecting and taking down phishing sites and scams automatically, often within minutes.
Utilizing deep learning, it renders a scam verdict in just 100 milliseconds, boasting an extraordinary accuracy level with a minimal false positive rate of 1 in 100,000. Bolster’s proactive cybersecurity solution surveils the entire digital landscape, preemptively identifying potential threats across the open web, social platforms, app stores, and the dark web.
Remarkably, Bolster achieves global takedowns in as little as 2 minutes, with an impressive 95% success rate through automated processes. The platform vigilantly monitors taken-down sites and promptly issues takedown requests if a phishing site attempts to resurface.
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