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ML tools can help identify phishing attempts, even sophisticated ones that might slip past regular filters, Riboldi says. “Over time, these systems get better,” he says. “This leads to fewer false alarms and more focus on actual threats. As not all security weaknesses are the same, machine learning can help prioritize those vulnerabilities that are a threat for the business.”
Emphasize the ‘learning’ part of ML
To be truly effective, models need to be retrained with new data to keep up with changing threat vectors and shifting cyber criminal behavior.
“Machine learning models get smarter with your help,” Riboldi says. “Make sure to have feedback loops. Letting analysts label events and adjust settings constantly improves their accuracy. Also, the data you give them is key. It needs to be good, secure, and come from different sources, like your computers, the cloud, login systems, etc.”
in well organized HTML format with all tags properly closed. Create appropriate headings and subheadings to organize the content. Ensure the rewritten content is approximately 1500 words. Do not include the title and images. please do not add any introductory text in start and any Note in the end explaining about what you have done or how you done it .i am directly publishing the output as article so please only give me rewritten content. At the end of the content, include a “Conclusion” section and a well-formatted “FAQs” section.
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